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Thin-walled micro-holes are frequently used in aerospace components to achieve specific functions, such as heat dissipation and filtration. However, traditional manufacturing technologies face difficulties in achieving precision machining of these holes due to deformation caused by cutting force or heat. Laser machining is a highly flexible and efficient advanced processing technology that aims to achieve precise machining of thin-walled holes. However, it is important to note that the thermal energy generated by the laser can cause deformation of the thin walls. To address these issues, this paper proposes a process that combines laser and backside electrochemical composite machining. The model for laser electrochemical composite processing after through-hole formation suggests that the laser's temperature rise effect on the electrolyte can significantly enhance the efficiency of electrochemical processing. Furthermore, the laser exerts a micro-zone stirring effect on the electrolyte in the processed micro-zone, which promotes the liquid-phase mass transfer process during the electrochemical reaction. Furthermore, a one-way experiment was conducted to investigate the effects of the main laser parameters on the processing results. The results indicated that higher laser power, as well as lower laser frequency and scanning speed, significantly reduced the edge damage and pore taper of the processed micro-holes. The language used is clear, concise, and objective, adhering to a formal register and avoiding biased or ornamental language. Technical terms are consistently used and explained when first introduced. The text is grammatically correct and free from spelling and punctuation errors. Furthermore, this process has significantly reduced the oxygen content and surface roughness of the sidewalls of the micro-holes. [ABSTRACT FROM AUTHOR]

The use of holding and inspection fixtures is common across many sectors of manufacturing. The concept of a fixture for holding a component, for the purposes of assembly or inspection, is straightforward. The fixture design and the associated clamping strategy can have a significant impact on the process. This paper presents a methodology for investigating the effects of clamping sequence for a production inspection fixture, on the dimensional variability of an automotive production-representative sheet metal sub-assembly, along with experimental findings and analysis of measurement data. The study utilises both a coordinate measuring machine and laser tracker to capture a range of features and surface points, and compares four different clamping sequences, including the manufacturer's defined sequence, to evaluate their effect on the dimensional results from a predetermined measurement plan. The results from the study show that there was significant variation in measurements taken from the four different clamping sequences, and these variations can show the same points and/or features being within tolerance for one clamping sequence and out of tolerance for another. This clearly has major implications for product development and subsequent volume manufacture, so needs to be considered and optimised in the measurement planning process. [ABSTRACT FROM AUTHOR]

Purpose: The investigation aims to improve Nd: YAG laser technology for precision cutting of carbon fiber reinforcing polymers (CFRPs), specifically those containing newly created resin (NDR) from the polyethylene and polyurea group, is the goal of the study. The focus is on showing how Nd: YAG lasers may be used to precisely cut CFRP with NDR materials, emphasizing how useful they are for creating intricate and long-lasting components. Design/methodology/approach: The study employs a systematic approach that includes complicated factorial designs, Taguchi L27 orthogonal array trials, Gray relational analysis (GRA) and machine learning predictions. The effects of laser cutting factors on CFRP with NDR geometry are investigated experimentally, with the goal of optimizing the cutting process for greater quality and efficiency. The approach employs data-driven decision-making with GRA, which improves cut quality and manufacturing efficiency while producing high-quality CFRP composites. Integration of machine learning models into the optimization process significantly boosts the precision and cost-effectiveness of laser cutting operations for CFRP materials. Findings: The work uses Taguchi L27 orthogonal array trials for systematically explore the effects of specified parameters on CFRP cutting. The cutting process is then optimized using GRA, which identifies influential elements and determines the ideal parameter combination. In this paper, initially machining parameters are established at level L3P3C3A2, and the optimal machining parameters are determined to be at levels L3P2C3A3 and L3P2C1A2, based on predictions and experimental results. Furthermore, the study uses machine learning prediction models to continuously update and optimize kerf parameters, resulting in high-quality cuts at a lower cost. Overall, the study presents a holistic method to optimize CFRP cutting processes employing sophisticated techniques such as GRA and machine learning, resulting in better quality and efficiency in manufacturing operations. Originality/value: The novel concept is in precisely measuring the kerf width and deviation in CFRP samples of NDR using sophisticated imaging techniques like SEM, which improves analysis and precision. The newly produced resin from the polyethylene and polyurea group with carbon fiber offers a more precise and comprehensive understanding of the material's behavior under different cutting settings, which makes it novel for kerf width and kerf deviation in their studies. To optimize laser cutting settings in real time while considering laser machining conditions, the study incorporates material insights into machine learning models. [ABSTRACT FROM AUTHOR]

High-performance Ox-Ox ceramics material composites (CMC) are a strategic building block in the aerospace industry and high-temperature applications. The ceramics material composites are hard to machine due to high hardness, fracture toughness, and heterogeneous structures. Furthermore, it is prone to brittle fracture during the machining process. In this study, we successfully demonstrate ultrafast laser machining technology to machine Ox-Ox CMCs. A picosecond laser has been used to machine slots to understand the impact of laser process parameters on the material removal mechanism by performing deep machining. Different scan rates and a number of over-scans have been employed to understand the material removal mechanism, which is dominated by laser ablation and aided by melting due to the residual surface temperature. The maximum material removal rate of 21.75 mm3/min has been achieved for the scan rate of 300 mm/s. This can be related to the reduction in the ablation threshold and the critical balance between the material removal mechanism by ablation and melting. It was found that, the surface roughness of the cut surface has decreased due to melting and solidification. The cross-sectional examination reveals two distinct surface structures, which are entirely resolidified and thermally eroded regions. [ABSTRACT FROM AUTHOR]

With the development of laser scanners and machine learning, point cloud semantic segmentation plays a significant role in autonomous driving, scene reconstruction, human-computer interaction, and other fields. In recent years, point cloud semantic segmentation based on deep learning has become one of the key research directions in point cloud processing. Due to the limited ability to exploit geometric details and contextual information in point clouds, most methods that adopt encoder-decoder architecture lose local structural information easily, especially detailed features, and extract features insufficiently. To address this issue, the edge-preserving inception DenseGCN U-Net (entitled as EIDU-Net) is proposed. EIDU-Net makes full use of the complementation between geometric details in the original point cloud and high-level features. The edge-preserved graph pooling (EGP) layer, the key module of the EIDU-Net, is designed to retain additional edge feature information from the original point cloud during pooling operations. Accordingly, the edge-preserved graph unpooling (EGU) layer can restore the feature graph more efficiently based on the additionally retained edge features. Extensive experiments demonstrate that our proposed EIDU-Net has remarkable improvements on semantic segmentation tasks under whatever S3DIS or Terracotta Warrior fragments. Our code is publicly available at https://github.com/caoxin918/EIDU-Net. [ABSTRACT FROM AUTHOR]

The challenging machinability of silicon carbide (SiC) ceramic, due to its hardness and brittleness, has traditionally constrained its machined quality and the creation of functional surfaces. Compared to direct laser machining (DLM), waterjet-assisted laser micromachining (WJALM) is an alternative technique for SiC ceramic that is capable of reducing thermal-induced damages. In this paper, high-aspect-ratio (HAR) microchannels are fabricated on silicon carbide ceramic by WJALM, and its effectiveness is verified through comparative experiments with DLM. The effects of the parametric combination of waterjet and laser parameters on machining responses of geometric structural features and sidewall surface quality are investigated by controlled variable experiments. The results revealed that HAR microchannels with almost no recast layers could be obtained when the SiC workpiece was fabricated by a nanosecond laser under the flowing water medium layer, and higher average laser power of 27 W, lower scanning speed of 600 m/s, and medium waterjet velocity of 12/16 m/s contributed to larger aspect ratio, more ablation area and superior sidewall quality of HAR microchannels. [ABSTRACT FROM AUTHOR]

Rare‐earth (RE)‐doped laser glasses meet urgent needs in national security and scientific fields, and their optimization has garnered extensive attention. However, the design of these laser glasses often relies excessively on trial‐and‐error experimentation, leading to significant costs and a lack of scientific guidance. Herein, we propose an integrated method that combines structural descriptors determined from molecular dynamics simulations, a self‐constructed luminescent database, and a machine learning algorithm to establish the composition–structure–luminescent property (CSLP) relationship. Using an Nd3+‐doped commercial silicate laser glass system as an example, the effectiveness of this approach has been demonstrated. The developed CSLP model enables highly accurate predictions of spectral properties, achieving a determination coefficient (R2) greater than 0.94, based on eight structural descriptors. The importance of different structural descriptors on spectral characteristics is ranked and thoroughly discussed, revealing an intrinsic relationship between the first and second coordination shells around RE ions and luminescent behaviors. Furthermore, the generic structural descriptors identified in the CSLP model can be extrapolated to other systems involving different network formers (e.g., silicate and phosphate) and modifier cations (e.g., Li, Na, K, Ba, and Ca). This capability facilitates the design of laser glasses tailored to specific targets, such as large emission cross‐sections, extended lifetimes, or reduced quenching effects. [ABSTRACT FROM AUTHOR]

In order to fulfill the demands of increasingly complex processes, laser additive manufacturing processes are combined with five-axis linkage technology. The tool axis vector is critical to the accuracy of part shaping. However, due to the machine performance limitation, the previous methods of tool axis planning may cause the laser deposition head to decelerate and wait for the rotary table, leading to an abnormal bulge at the position. Therefore, this paper proposed a tool axis vector optimization method based on automatically smoothing the C-axis rotary angle. First, the adjustment range of the C-axis angle is calculated by forward and negative kinematics, to ensure that the molten pool is still formed at the planned position after adjustment. Then, the positions with large changes in C-axis angle are detected and locally optimized to ensure that the optimized result allows the laser deposition head to maintain a constant speed when linked with other axes. Finally, global optimization is performed using curve smoothing to deal with the corner regions left by the local optimization to make the machine motion smoother. The printing results of S-shaped and elbow parts show a significant improvement in print quality with less wear and tear on the machine, thus demonstrating the effectiveness and feasibility of the method. [ABSTRACT FROM AUTHOR]

In this manuscript, a laser ablation-assisted step milling (LAAM(S)) process was proposed, building upon the foundation of laser-ablation assisted overall milling (LAAM(O)). The model of the oxidation mechanism of SiC f /SiC composites was developed to explain the evolution of material properties with laser assistance. The results of the oxidation revealed that the material undergoes melting and evaporation, forming an ablation layer, and the thickness of the ablation layer is positively correlated with laser power. In comparison to CM and LAAM(O), LAAM(S) demonstrates notable reductions in milling forces and temperatures, with corresponding decreases in tool wear of 55 μm and 30 μm respectively. These improvements are attributed to the porous and loosely adherent ablation layer, facilitating easier removal，demonstrating the effectiveness of the developed machining method. Unlike CM and LAAM(O), LAAM(S) prevents tool edge chipping and reduces surface damages such as fiber fracture and matrix fragmentation. The machining efficiency was quantitatively evaluated. The processing time reduced by 13.65 % in LAAM(S) compared to LAAM(O) when the milling distance reached 500 mm. This indicates that LAAM(S) offers superior efficiency in long-distance processing. Therefore, LAAM(S) proves to be a feasible and effective method for improving the machinability and efficiency of SiC f /SiC composites. [ABSTRACT FROM AUTHOR]

Low thermal diffusivity of NiTi-based smart alloy results in concentrated heat accumulation during laser beam machining which rises to adverse thermal effects like heat-affected zones, residual stresses, and alterations in microstructure of shape memory alloy (SMA) system. The addition of Cu and Zr can reduce the thermal hysteresis in the phase transformation of NiTi SMAs. Minimizing thermal hysteresis is desirable in SMA applications where precise control of the phase transformation temperatures is required, such as in actuators, sensors, and medical devices. Therefore, aqua jet integrated laser (AJ-FLBM) machining is a suitable choice for smart materials that need to be machined with high precision and low heat affected zone. In this current research, the NiTiCuZr SMA is machined using AJ-FLBM to investigate the effects of process variables on surface characteristics measured using RSM-BBD approach. The surface quality was enhanced by 68.93% with a gradual decrease in laser power (P), cutting speed (CS), and an increase in frequency (F). Aqua jet integrated FLBM technique may reduce heat affected zone due to the removal of heat in areas near the cutting location. This was confirmed by the DSC test which reveals that optimal machining inputs do not alter shape memory properties. [ABSTRACT FROM AUTHOR]

Aiming at the problems in the high surface adhesion of ultrahigh-molecular-weight polyethylene (PE-UHMW) with viscous materials as well as its poor cleaning performance, the surface of PE-UHMW was modified with microstruc-ture by using a laser marking machine, and then its hydrophobicity was characterized by using a contact angle tester. The results indicated that the surface modification increased the hydrophobicity of PE-UHMW by 50 %, resulting in its anti-adhesion performance with a self-cleaning ability. The hydrophobicity of PE-UHMW was investigated through forming different types of microstructures on the modified surface, and the results showed that the bionic hogweed texture-modified surface had the best hydrophobicity. Based on this rule, the optimal processing parameters of the microstructural hydrophobicity could be achieved by an optimized combination of processing parameters for the hydrophobicity of the hogweed bionic microstructure. This combination was determined to be a fabric size of 400 |im, a transverse spacing of 100 μm, and a vertical spacing of 100 μm. Through varying the size of the texture, a relationship between the hydrophobicity of the texture and area ratio could be derived. The hydrophobicity increased and then decreased with an increase in the texture area ratio, and the maximum was achieved at a weaving area ratio of approximately 18. 5 %. [ABSTRACT FROM AUTHOR]

Copyright of Arab Journal for Scientific Publishing is the property of Research & Development of Human Recourses Center (REMAH) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A three-dimensional model of cephalosporin powder particles was constructed, and the interaction between the particles and the surface of the transport tool was simulated. In this paper, the microstructure of the tool surface was prepared by femtosecond laser technology and the effect of different tilt angles on the particle transport characteristics was investigated. The experiments show that the interaction force between the particles and the surface of the transport tool increases with increasing particle size, and the rate of change is 0.00854 μN/μm. The resistance required for particle shedding decreases and then increases as the angle of inclination of the machine increases. At a tilt angle of 30°, the interaction force between the particles and the machine is minimal. At less than 30°, the rate of change of resistance reduction is − 0.06021 μN/°. Above 30°, the rate of change of resistance increase is 0.0414 μN/°. The shedding rate of powder particles was higher on the transversely and longitudinally etched tool surfaces than on the unetched surfaces. This work demonstrates that femtosecond laser microstructures on metal tool surfaces can effectively prevent powder deposition on the tool surface. It provides an experimental basis for improving the metrology accuracy of ultrafine powder materials. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this paper is to study the effect of laser shock peening (LSP) on mechanical behaviour of the laser-directed energy deposition (LDED)-based printed 15-5 PH stainless steel with U and V notches. The study specifically concentrates on the evaluation of effect of scan strategy, machining and LSP processing on microstructural, texture evolution and fatigue behaviour of LDED-printed 15-5 PH steel. Design/methodology/approach: For LSP treatment, 15-5 PH steel was printed using LDED process with bidirectional scanning strategy (XX [θ = 0°) and XY [θ = 90°]) at optimised laser power of 600 W with a scanning speed of 300 mm/min and a powder feed rate of 3 g/min. Furthermore, LSP treatment was conducted on the V- and U-notched fatigue specimens extracted from LDED-built samples at laser energy of 3.5 J with a pulse width of 10 ns using laser spot diameter of 3 mm. Post to the LSP treatment, the surface roughness, fatigue life assessment and microstructural evolution analysis is performed. For this, different advanced characterisation techniques are used, such as scanning electron microscopy attached with electron backscatter diffraction for microstructure and texture, X-ray diffraction for residual stress (RS) and structure information, Vicker's hardness tester for microhardness and universal testing machine for low-cycle fatigue. Findings: It is observed that both scanning strategies during the LDED printing of 15-5 PH steel and laser peening have played significant role in fatigue life. Specimens with the XY printing strategy shows higher fatigue life as compared to XX with both U- and V-notched conditions. Furthermore, machining and LSP treatment led to a significant improvement of fatigue life for both scanning strategies with U and V notches. The extent of increase in fatigue life for both XX and XY scanning strategy with V notch is found to be higher than U notch after LSP treatment, though without LSP samples with U notch have a higher fatigue life. As fabricated sample is found to have the lowest fatigue life as compared to machines and laser peened with both scan strategies. Originality/value: This study presents an innovative method to improve the fatigue life of 15-5 PH stainless steel by changing the microstructure, texture and RS with the adoption of a suitable scanning strategy, machining and LSP treatment as post-processing. The combination of preferred microstructure and compressive RS in LDED-printed 15-5 PH stainless steel achieved with a synergy between microstructure and RS, which is responsible to improve the fatigue life. This can be adopted for the futuristic application of LDED-printed 15-5 PH stainless steel for different applications in aerospace and other industries. [ABSTRACT FROM AUTHOR]

All‐dielectric nanophotonic devices are usually fabricated by engraving arrays of nanoholes at the surface of high‐index materials, to engineer dedicated optical functions. However, their direct 3D integration in the volume of a material is challenging, inaccessible to current planar nanolithography methods. Here is introduced an ultrafast laser‐machining method that opens the possibility to realize scalable arrays of hollow nanochannels directly inside the bulk of silica glass within a single‐step, maskless, and digital approach. Using a custom‐shaped micro‐Bessel beam and by tuning laser pulse durations from femtoseconds to picosecond to boost processing versatility, dense assemblies of nanochannels with adjustable lengths (up to 30 µm), and submicron lattice periodicity (down to 0.7 µm) are achieved. As a proof‐of‐principle demonstration, a gradient‐index metaphotonic structure is realized and its performance is experimentally characterized, demonstrating its relevancy for imprinting phase functions with magnitude up to π/2$\pi /2$ in the short‐wave infrared spectral range. Results show that the unique flexibility and scalability provided by individual control of each channel opens a new realistic alternative approach for 3D fabrication of monolithic integrated nanophotonic devices inside a wide range of low‐index standard optical materials. [ABSTRACT FROM AUTHOR]

We present the details of a novel ultra-short pulsed laser machining workstation that has been employed for high-throughput laser machining of small-scale mechanical property specimens. This system employs a six degrees of freedom hexapod positioning stage capable of macroscopic movements at high positional accuracy. We developed a methodology that uses quantitative image analysis to measure key parameters required to minimize the hexapod positioning and rotational error. Application of this system to laser machining of small-scale 316L stainless steel tensile specimens and ultra-high molecular weight polyethylene compressive specimens using eucentric tilt and rotation about the specimen axis will be shown, where serial laser milling at a specimen tilt angle of 10° was used to effectively eliminate any taper in the sample cross section that is typically found in laser machining. [ABSTRACT FROM AUTHOR]

Kevlar fabric reinforced plastics (KFRPs) are a type of composite material that consists of many layers of fabrics. In recent years, laser machining has surpassed both traditional and unconventional techniques because of its noncontact machining mode. In this research, polypropylene (PP) was used to reinforce Kevlar-129 fiber. Ten Kevlar layers were compressed-molded between Polypropylene layers to make the laminates. Cutting profiles of 25 mm x 25 mm was accomplished with the aid of fiber laser machining gear operating at a wavelength of 1070 nm with minimum laser power of 250 W and maximum of 400 Wand cutting speeds of 400 mm/min to 1000 mm/min with an interval of 200 mm/min with N2 as assisting gas at 10 bar. Kevlar polypropylene (K-PP) laminates' failure behavior was studied to see how much the polymeric matrix affected them. Scanning electron microscopy is another tool for studying the surface morphology. The first factor to think about is the very minimum of laser power required to make the incision. High power and low cutting speed generated clean cuts, while low power and high speed had laminate scribing. SEM analysis was performed on the surfaces that had been laser cut. In K-PP, the study of the laser-irradiated surface revealed that the K-PP material had a presence of recast/re-solidified polymer on the Kevlar fabric. Surface quality was found to be highest when cutting at 100 Hz compared to the other two modes. To better understand how laser machining affects Kevlar laminates, an investigation on surface roughness was carried out. [ABSTRACT FROM AUTHOR]

Additive manufacturing (AM) technologies have demonstrated a promising material efficiency potential in comparison to traditional material removal processes. A new directed energy deposition (DED) category AM process called wire arc additive manufacturing (WAAM) is evolving due to its benefits which include faster build rates, capacity to build large volumes, and inexpensive feedstock materials and machine tools compared to more technologically mature powder-based AM technologies. However, WAAM products present challenges like poor surface finish and lower dimensional accuracy compared to powder-based processes or machined parts, prevalence of thermal distortions, residual stresses, and defects like porosity, cracks, and humping, often requiring post-processing operations like finish machining and heat treatment. These post-processing operations add to the production cost and environmental footprint of WAAM-built parts. Therefore, considering the opportunities and challenges presented by WAAM, this paper analyses the environmental impact, production costs, and mechanical properties of WAAM parts and compares them with those achieved by laser powder bed fusion (LPBF) and traditional computer numerical control (CNC) milling. A high-strength low-alloy steel (ER70S) mechanical part with medium complexity was fabricated using WAAM. Based on the data collected during this experiment, environmental impact and cost models were built using life cycle assessment and life cycle costing methodologies. WAAM was observed to be the most environmentally friendly option due to its superior material efficacy than CNC milling and has a better energy efficiency than LPBF. Also, WAAM was the most cost-friendly option when adopted in batch production for batch sizes above 3. The environmental and cost potential of WAAM is amplified when used for manufacturing large products, resulting in significant material, emission, and cost savings. The fabricated WAAM part demonstrated good mechanical properties comparable to that of cast/forged material. The methodology and experimental data presented in this study can be used to calculate environmental impacts and costs for other products and can be helpful to manufacturers in selecting the most ecofriendly and cost-efficient manufacturing process. [ABSTRACT FROM AUTHOR]

For prototype design and small batch production, laser forming has more advantages for manufacturing metal sheet products than conventional processes. However, predicting and optimizing the required conditions for the product's final shape is difficult, especially in multi-stage forming, where many governing factors affect the shape intricately. In this study, the convolution neural network (CNN) is proposed to simulate the correlations between the scanning paths and the final deformations of a metal sheet. The imaginary data, which used values to present the distribution of deformation height of metal sheets, was used to examine the feasibility of applying CNN. On the other hand, the simulated images of a structured pattern projected on the sheet surface were used to train and test the CNN. The results demonstrate that CNN can use imaginary data in the training dataset to predict the scanning path determined by two points on the edge of the metal sheet with high accuracy. Although the performance of the test dataset needed to be better to prove the general-purpose ability, this research validates the feasibility of applying CNN for scanning path prediction in laser forming. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Femtosecond laser machining offers high precision and minimal thermal impact, making it a promising technique for processing hard and brittle materials like single-crystal diamonds (SCDs). In this study, the femtosecond laser machining process for SCD material was systematically optimized to improve both machining efficiency and quality. Initial single-factor experiments were conducted to explore the effects of key process parameters—laser power, scanning speed, and number of scans—on machining performance. Subsequently, response surface methodology (RSM)-based experiments designed using the Box–Behnken method were employed to comprehensively refine the process. A regression model was developed to analyze the data, and the interaction effects of the parameters were thoroughly evaluated. The validated model identified an optimal set of parameters, resulting in a significant improvement in machining performance. This research provides a comprehensive framework for optimizing femtosecond laser machining processes, offering valuable insights critical for the production of advanced lightweight components in industries such as aerospace, optical instruments, and high-performance electronics. [ABSTRACT FROM AUTHOR]

This article presents a review on some important recent research, development, and innovations related to the nonconventional machining of glass material. Nonconventional machining processes were identified suitable for machining of glass, years ago, and from then to now various technological developments have made nonconventional machining a viable alternate to the conventional machining of glass material. In this article, we have mainly focused on three important nonconventional machining processes, namely, last cutting, ultrasonic machining, and electrochemical discharge machining (ECDM). Novel aspects, effects of process parameters, and salient features are discussed. Mainly, previous five years' work is reviewed. This review finally ends with a conclusion and important future research directions. [ABSTRACT FROM AUTHOR]

In the current scenario, industries face new challenges in cutting metal-based composites with good surface texture. The experimental investigation on laser cutting of magnesium AS2-Bimodal SiC composites is reported in the present work. Three bimodal compositions with varying proportions of micro-nano SiC reinforcement (75%-25%, 50%-50% and 25%-75%) were dispersed in AS21 alloy by stir-casting route. The comparison of quality characteristics such as surface roughness, kerf deviation and edge slope has been done to examine the behaviour of bimodal reinforcement with different laser cutting parameters. The experimental strategy was implemented based on the Taguchi L18 mixed design. The microstructure and cutting surface morphology has been analysed using OM, SEM and TEM. The results demonstrated that the AS21 composite with a bimodal structure of 75 vol.% micro-SiC and 25 vol.% nano-SiC showed better performance characteristics of CO2 laser cutting system due to uniform grain structure and homogeneous dispersion of nano-SiC reinforcement. [ABSTRACT FROM AUTHOR]

CO2 laser machining is a cost effective and time saving solution for fabricating microchannels on polymethylmethacrylate (PMMA). Due to the lack of research on the incubation effect and ablation behavior of PMMA under high-power laser irradiation, predictions of the microchannel profile are limited. In this study, the ablation process and mechanism of a continuous CO2 laser machining process on microchannel production in PMMA in single-pass and multi-pass laser scan modes are investigated. It is found that a higher laser energy density of a single pass causes a lower ablation threshold. The ablated surface can be divided into three regions: the ablation zone, the incubation zone, and the virgin zone. The PMMA ablation process is mainly attributed to the thermal decomposition reactions and the splashing of molten polymer. The depth, width, aspect ratio, volume ablation rate, and mass ablation rate of the channel increase as the laser scanning speed decreases and the number of laser scans increases. The differences in ablation results obtained under the same total laser energy density using different scan modes are attributed to the incubation effect, which is caused by the thermal deposition of laser energy in the polymer. Finally, an optimized simulation model that is used to solve the problem of a channel width greater than spot diameter is proposed. The error percentage between the experimental and simulation results varies from 0.44% to 5.9%. [ABSTRACT FROM AUTHOR]

(TiZrHfNbTa)C high-entropy ceramics have wide range of application prospects due to their excellent performance, but their hardness and brittleness make them difficult to process. In this study, novel method based on nanosecond laser was used to cut (TiZrHfNbTa)C high-entropy ceramics. Results show that laser machining is efficient strategy for high-precision machining of (TiZrHfNbTa)C high-entropy ceramics. Slit width obtained via nanosecond-laser cutting is only 26.4 % of that obtained via mechanical cutting, and average roughness and maximum height difference of cut surface are 2.078 and 20.497 μm, respectively, which are smaller than those obtained through mechanical cutting (4.296 and 29.706 μm, respectively). Furthermore, removal mechanism under the action of nanosecond laser was investigated, and it was found that cut surface of (TiZrHfNbTa)C high-entropy ceramics formed thin oxide recast layer together with carbide underneath. This study provides important results for precision machining of (TiZrHfNbTa)C high-entropy ceramics. [ABSTRACT FROM AUTHOR]

Fiber batteries are essential for the realization of high‐performance wearable and textile electronics with the desirable features of conventional textiles, including breathability, stretchability, and washability. However, the development of fiber batteries is limited by scalability and performance since most reported fabrication techniques are not compatible with standard battery manufacturing. This work presents a novel method for the scalable fabrication of fiber batteries with a stacked design analogous to that of conventional pouch cells using layer lamination and laser machining. To accomplish this, several poly(vinylidene fluoride‐co‐hexafluoropropylene) (PVDF‐HFP) separators are developed, enabling lamination between conventional battery electrodes using a heated rolling press. The laminated strips are subsequently laser cut to form fibers with widths as narrow as 650–700 µm. These prototypes are successfully cycled in pouch cells and capillary tubes, delivering very high linear energies up to 0.61 mWh cm−1. Custom equipment is designed to demonstrate scalable fiber battery fabrication processing in a roll‐to‐roll fashion. This work marks a paradigm shift in fiber battery research by demonstrating substantial benefits over all previous approaches including optimal active material utilization, low inactive material content, scalability, and compatibility with equipment already used widely in the battery industry. [ABSTRACT FROM AUTHOR]

Ceramic‐on‐ceramic joints are notorious for their inherent brittleness, posing challenges for high‐performance applications. To address this, a novel approach is proposed to enhance the involvement of filler metals during fracture. This study investigates the controlled initiation and propagation of cracks in Al2O3–Al2O3 joints through a strategic combination of laser pre‐cracking, laser patterning, and laser active brazing techniques. By introducing pre‐cracking and African daisy‐like patterning, crack propagation dynamics are altered, with cracks initially confined within pre‐crack regions before navigating through pattern intrusions. Additionally, laser active brazing effectively managed titanium diffusion, optimizing interface strength control. Evaluation via SEVNB tests demonstrated a significant enhancement in fracture toughness, achieving maximal 25.6 ± 4.6 MPa·m0.5 compared to ≈3–5 MPa·m0.5 for alumina ribbons. This integrated approach offers precise control over fracture paths, thereby augmenting the performance of ceramic‐on‐ceramic joints, and holds promise for advancing their applications in demanding environments. [ABSTRACT FROM AUTHOR]

To address the complication of in‐stent restenosis that occurs with traditional stent treatments, this study proposes an innovative hybrid smart stent‐based medical system. This approach allows to overcome the limitations of existing bare metal or polymer‐based smart stents, which interfere with radio frequency signals, less deformability, or do not provide adequate radial support, respectively. The proposed hybrid stent, which uses a Co/Cr–polycaprolactone (PCL)–Co/Cr configuration connected by a unique dual inverted Y‐type connector for metal–polymer integration is integrated with a LC wireless pressure sensor fabricated through a semiconductor process. The fabricated hybrid stent made by laser machining and custom‐made 3D printing, offers excellent properties such as radial strength (0.125 N/mm) and flexibility (2 N mm2) and provides intravascular information to the outside through the integrated sensor without signal degradation. After basic experiments using a phantom, animal experiments are conducted by combining the fabricated sensor with artificial blood vessel, and the results measured by the external antenna system are consistent with the results of a commercial reference sensor. The proposed wireless sensor‐based smart stents and artificial blood vessels aim to gather diverse patient health data for integration with artificial intelligence, laying the groundwork for next‐generation medical innovation. [ABSTRACT FROM AUTHOR]

In this paper, a fiber laser marking machine was used to pretreat an Al plate, and then a Au nanoparticle (Au NP) solution was dripped on the surface of the pre-treated plate to study the effect of the laser pretreatment assisted-nanoparticle-enhanced laser-induced breakdown spectroscopy technique on the emission and stability of the AlO molecular bands (B2P+ - X2P, Dn = 0) in the Al plasma. The results showed that laser pretreatment significantly improved the emission and stability of the AlO molecular bands. Therefore, this paper demonstrates the potential of laser pretreatment in improving analytical sensitivity in LIBS. [ABSTRACT FROM AUTHOR]

This paper explores the characteristics of processing carbon fiber-reinforced plastic (CFRP) materials with ultra-short pulsed lasers. By combining experimental and numerical simulation methods, the processing characteristics when ultra-short pulsed lasers interact with CFRP are analyzed, including processing depth, processing width, the formation of heat-affected zone (HAZ), and the microstructure of the processed surface. The experimental part involves using picosecond and femtosecond lasers to machine holes or slots in CFRP under different process parameters and comparing their morphologies. Numerical simulation constructs a three-dimensional model to predict the temperature field distribution and material removal dynamics during the laser processing process. The results of experiments and simulations indicate that picosecond laser processing produced a visible HAZ and thermal damage; as the power of the picosecond laser increases, the ablation holes and HAZ gradually expand. In contrast, no HAZ is observed in femtosecond laser processing. Femtosecond pulsed lasers can effectively reduce the thermal damage during the CFRP processing. The anisotropic properties of CFRP materials have a significant impact on the laser processing effects. The research findings provide a theoretical basis and technical support for the precise processing of CFRP materials, which is of great significance for the application of CFRP materials in fields such as aerospace and automotive manufacturing. [ABSTRACT FROM AUTHOR]

This work discusses challenges in conventional grinding wheels: heat-induced tool wear and workpiece thermal damage. While textured abrasive wheels improve heat dissipation, the current surface-only methods, such as those based on laser and machining, have high renewal costs. The proposed manufacturing technology introduces an innovative 3D cooling channel structure throughout the wheel, enabling various channel geometries for specific abrasive wheel applications. The production steps were designed to accommodate the conventional pressing and sintering phases. During pressing, a 3D organic structure was included in the green body. A drying cycle eliminated all present fluids, and a sintering one burnt away the structure, revealing channels in the final product. Key parameters, such as binder type/content and heating rate, were optimized for reproducibility and scalability. Wear tests showed a huge efficiency increase (>100%) in performance and durability compared of this system to conventional wheels. Hexagonal channel structures decreased the wear rates by 64%, displaying superior wear resistance. Comprehensive CFD simulations evaluated the coolant flow through the cooling channels. This new design methodology for three-dimensionally structured grinding wheels innovates the operation configuration by delivering the coolant directly where it is needed. It allows for increasing the overall efficiency by optimizing cooling, reducing tool wear, and enhancing manufacturing precision. This 3D channel structure eliminates the need for reconditioning, thus lowering the operation costs. [ABSTRACT FROM AUTHOR]

Dental prostheses have been fabricated using various selective laser melting (SLM) machines; however, the impact of the type of machine on the microstructure and mechanical properties of Co–Cr–Mo alloys remains unclear. In this study, we prepared samples using two SLM machines (the small M100 and mid-sized M290) with different beam spot sizes (40 and 100 µm, respectively). The microstructures and tensile properties of the heated (1150 °C for 60 min) and as-built samples were evaluated. The grain sizes of the M100 samples were smaller than those of the M290 samples due to the small beam spot size of the M100 machine. Both heated samples exhibited recrystallized equiaxed grains; however, the amount of non-recrystallized grains remaining in the M290 sample exceeded that in the M100 sample. This suggests that the M100 samples recrystallized faster than the M290 samples after heating. The elongation of the M100 samples was higher than that of the M290 samples in the as-built and heated states, owing to the smaller grain size of the M100 samples. A comparison of the M100 and M290 SLM machines indicated that the M100 was suitable for producing dental prostheses owing to its good elongation and rapid recrystallization features, which shorten its post-heat-treatment duration. [ABSTRACT FROM AUTHOR]

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In order to address the issue of thermal damage induced by laser processing of carbon fiber reinforced polymer (CFRP), researchers have conducted an optimization study of process parameters in the laser processing of CFRP. Their aim is to elucidate the relationship between process parameters and processing quality to minimize thermal damage. However, during laser processing, there exists a complex nonlinear relationship between process parameters and processing quality, making it challenging to establish high-precision predictive models, while the intrinsic connection between these two aspects remains incompletely revealed. In light of this, this study proposes utilization of machine learning techniques to explore the inherent relationship between process parameters and processing quality and establishes a 5-13-5 type back-propagation (BP) neural network predictive model. Subsequently, genetic algorithms are employed to optimize the weights and thresholds of the BP neural network, and the model is then subjected to validation. The results indicate that the BP neural network predictive model yields average errors of 5% for surface heat-affected zone (HAZ), 2.9% for groove width, 5.9% for cross-sectional HAZ, 1.8% for groove depth, and 4.5% for aspect ratio, demonstrating a relatively high level of accuracy but with notable fluctuations. The GA-BP model, when predicting the surface HAZ and the groove width, achieves errors of 4.5% and 2.7%, respectively, which are lower when compared to the BP model, indicating a higher predictive accuracy. The GA-BP model established in this study unveils the intrinsic connection between process parameters and processing quality, providing a novel means for an effective quality prediction in the processing of CFRP. [ABSTRACT FROM AUTHOR]

These days, metal matrix composites (MMCs) are being widely utilized in automotive and aerospace industries as prominent alternatives to traditional materials. Owing to their elevated strength-to-weight proportion, exceptional fracture toughness, and lightweight design, they can be used in a variety of applications. MMCs undergo extensive machining while making parts and components out of them. The machining of monolithic materials, such as metals and alloys, is a widely used and established process in different industries, such as the aerospace, bio-medical, and automotive sectors. Because of the properties of the metal matrix and the strong reinforcement, MMCs provide unique challenges. Modern machining processes have been found to be superior in overcoming challenges and achieving improved machinability of MMCs. An overview of MMC machining with modern methods is provided in this article. This article first outlines MMCs and addresses the need for and difficulties associated with their machining. Next, it reviews previous investigations on the machining of MMCs employing modern methods like electrical discharge machining, laser machining, abrasive machining, and hybrid machining. Productivity and surface integrity issues, including delamination and roughness, etc., are discussed. When presenting the review, the benefits and drawbacks of modern processes are also taken into account. [ABSTRACT FROM AUTHOR]

Femtosecond laser is suitable to process Si 3 N 4 , but heat effect forming during machining process could degrade the performance of specimen. To reduce heat damage, in this study, the effects of cryogenic assisted laser machining on the surface quality and micro-structures of Si 3 N 4 was investigated. The femtosecond laser was employed to ablate Si 3 N 4 at various low temperatures, accompanied with comprehensive analysis of the surface roughness, material removal rate and SEM topography. To further illustrate the formation mechanism of surface structure, finite element analysis was conducted. Results indicated that while low temperature exerted negligible effects in single-layer ablation, multi-layer laser machining benefits from improved surface quality. Low temperature mitigated thermal effects and reduced the recast layer area, resulting in decreased surface roughness. The lowest surface roughness was obtained during the machining of the specimen at −60 °C of 1.072 μm, representing a 54.6 % reduction compared to ambient air machining. However, further decreasing the temperature below −60 °C led to an increase in surface roughness. This was attributed to the combined effects of Gaussian beam energy distribution and low temperature, resulting in incomplete ablation of the surface region between two scanning pitches, thereby decreasing surface quality. This research provides valuable insights into the cryogenic assisted femtosecond laser machining. [ABSTRACT FROM AUTHOR]

Introduction: Ureteroscopy has become increasingly chosen as a treatment of choice for patients with kidney stone disease and laser as the energy source for stone lithotripsy is a key part of this. Our aim was to analyse a national database to evaluate the burden of adverse events related to laser fibers and laser machines. Methods: Search was performed of the Manufacturer User and Facility Device Experience (MAUDE) database in the United States for all events related to holmium laser fibers and holmium laser machines during ureteroscopy between 2012-2021. Information collected included the following: problem, timing, prolonged anaesthesia, early termination of procedure, injury and retained parts. Results: 699 holmium laser fiber events were reported and these had been manufactured by 13 different companies. The commonest problems were breakage outside the patient while in use (26.3%) and breakage of the laser fiber tip (21.2%). Manufacturers concluded root cause to be device failure in 8.9%. 29% of issues occurred before the laser had been activated. 5.2% of cases had to be cancelled as a result of an event. Significantly more injuries were sustained intra-operatively by operating staff compared to patients (6% vs. 0.2%, p < 0.001). All these injuries were superficial burns to the skin with the hand being the most affected body part (88.1%). Zero ocular injuries were reported. Only eight events were related to laser machines and all involved sudden hardware failure but no patient injury. Conclusions: Laser fibers are fragile. Most adverse events are due to operator error. Direct patient injury from laser fiber is scarce but operating staff should be aware of the risk of sustaining minor burns. Laser machines rarely incur problems and, in this study, did not result in any safety issues beyond need to abort the procedure due to lack of spare equipment. [ABSTRACT FROM AUTHOR]

This study highlights the development of an intelligent thermo-structural model for precise prediction of responses such as the width of heat-affected zone (HAZ), equivalent stress and total deformation for laser beam machining (LBM) process while machining a novel Dual Phase 780 (DP780) workpiece. The numerical model is analyzed through response surface Box–Behnken design to study the consequences of input parameters such as voltage (V), current (I) and cutting speed (N) on the above-mentioned response parameters. The results achieved through the numerical model are validated by comparing them with experimental results. Furthermore, a careful parametric study along with line and surface plot analysis is conducted to evaluate both linear and quadratic relationships between the input and the response parameters, respectively. The results indicate that the HAZ can be reduced significantly through efficient laser processing with optimum input parameters. The process parameters are optimized by developing an objective function for each of the response parameters through regression analysis. An extremum model is used to obtain the ideal values of HAZ, equivalent stress and total deformation. These results are also validated by conducting a confirmative test using the numerical simulation model which is validated through experiments. [ABSTRACT FROM AUTHOR]

Laser machining by ultra-short (sub-ps) pulses at high intensity offers high precision, high throughput in terms of area or volume per unit time, and flexibility to adapt processing protocols to different materials on the same workpiece. Here, we consider the challenge of optimization for high throughput: how to use the maximum available laser power and larger focal spots for larger ablation volumes by implementing a fast scan. This implies the use of high-intensity pulses approaching ∼PW/cm2 at the threshold where tunneling ionization starts to contribute to overall ionization. A custom laser micromachining setup was developed and built to enable high speed, large-area processing, and easy system reconfiguration for different tasks. The main components include the laser, stages, scanners, control system, and software. Machining of metals such as Cu, Al, or stainless steel and fused silica surfaces at high fluence and high exposure doses at high scan speeds up to 3 m/s were tested for the fluence scaling of ablation volume, which was found to be linear. The largest material removal rate was 10 mm3/min for Cu and 20 mm3/min for Al at the maximum power 80 W (25 J/cm2 per pulse). Modified surfaces are color-classified for their appearance, which is dependent on surface roughness and chemical modification. Such color-coding can be used as a feedback parameter for industrial process control. [ABSTRACT FROM AUTHOR]

Among the non-traditional manufacturing processes, electro-thermal based processes are used to machine the difficult to cut materials. Among thermal based unconventional machining processes, laser machining and plasma arc cutting (PAC) are most significant processes that find applications in various industries including aerospace, automotive, shipbuilding, chemical processes equipment manufacturing and fabrication. In this manuscript, the parametric optimization of PAC is extensively reviewed. Bibliometric analysis of PAC was performed using Web of science and Scopus database wherein research publications were analyzed between year of 1961 to 2023. It was observed from the analysis that minimization of energy consumption in thermal based non-conventional machining methods is not extensively studied. Therefore, literature was reviewed to discuss about energy consumption and reduction of energy requirements in laser and PAC machining. [ABSTRACT FROM AUTHOR]

In the power diode laser beam machining (DLBM) process, the kerf width (KW) and surface roughness (SR) are important factors in evaluating the cutting quality of the machined specimens. Apart from determining the influence of process parameters on these factors, it is also very important to adopt multi-response optimization approaches for them, in order to achieve better processing of specimens, especially for hard-to-cut materials. In this investigation, adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm tuned ANFIS (GA-ANFIS) were used to predict the KW on a titanium alloy workpiece during DLBM. Five machining process factors, namely power diode, standoff distance, feed rate, duty cycle, and frequency, were used for the development of the model due to their correlation with KW. As in some cases, traditional soft computing methods cannot achieve high accuracy; in this investigation, an endeavor was made to introduce the GA-assisted ANFIS technique to predict kerf width while machining grooves in a titanium alloy workpiece using the DLBM process based on experimental results of a total of 50 combinations of the process parameters. It was observed that FIS was tuned well using the ANN in the ANFIS model with an R2 value of 0.99 for the training data but only 0.94 value for the testing dataset. The predicting performance of the GA-ANFIS model was better with less value for error parameters (MSE, RMSE, MAE) and a higher R2 value of 0.98 across different folds. Comparison with other state-of-the-art models further indicated the superiority of the GA-ANFIS predictive model, as its performance was superior in terms of all metrics. Finally, the optimal process parameters for minimum KW and SR, from gray relational–based (GRB) multi-response optimization (MRO) approach, were found as 20 W (level 2) for laser power, 22 mm (level 5) for standoff distance, 300 mm/min (level 5) for feed rate, 85% (level 5) for duty cycle, and 18 kHz (level 3) for frequency. [ABSTRACT FROM AUTHOR]

This study investigates laser-induced damage in thin silicon (Si) wafer ablation both experimentally and numerically. A 40-W continuous-wave CO2 laser is employed as the volumetric heat source. Experiments are conducted that involve variations in the laser cutting speed from 5 to 20 mm/s and the number of passes from one to three while maintaining a constant laser power of 40 W for investigation. The measured output parameters include surface morphologies, heat-affected zone (HAZ), and kerf width. For the first time, a finite element solution based on the brittle–ductile transition (BDT) phenomenon is introduced to predict temperature-stress gradients in the laser cutting region. Johnson–Cook (J-C) plasticity, along with the introduced damage criteria, are employed to analyse the cutting characteristics. The results show that the lowest CO2 laser speed and minimal number of passes enhance Si wafer quality. Nevertheless, increasing cutting speed and the number of passes significantly intensify material ablation and oxidisation due to elevated laser heat input. Using optimal parameters, numerical analysis shows a high level of agreement with experimental findings. Transverse/longitudinal stresses correlate with temperature, while the longitudinal stress is substantially lower compared to the transverse stresses due to thermal expansion and the direction of heat transfer. Following that, computed assessments of compressive and tensile stresses are used to refine specific laser parameters and locations for experimental setup. [ABSTRACT FROM AUTHOR]

Ultrafast pulsed lasers are pivotal in advanced domains such as optical communications, optical metrology, all-optical sampling, optical frequency combs, laser ranging, and laser machining, where saturable absorbers (SAs) are crucial components. Various SAs based on two-dimensional (2D) materials have attracted great attention in recent years due to their low cost, high stability, large modulation depth, broadband absorption, and excellent optical nonlinearity. In this work, Bi2O2Te nanosheets (NSs) based SA with a saturation intensity of 20.6 MW/cm2 and a modulation depth of 2.2% was prepared by utilizing liquid phase exfoliation (LPE) technique, which was firstly applied to a passively mode-locked ytterbium-doped fiber laser (YDFL). The experiment results show that a sequence of dissipative soliton (DS) pulse train with a repetition frequency of 3.303 MHz was obtained at 1032.5 nm. The pulse duration, signal-to-noise ratio (SNR), and maximum peak power were 166 fs, 70 dB, 21 kW, respectively. The results not only underscore the potential of Bi2O2Te NSs-based SA for ultrafast photonics applications around 1 μm wavelength, but also open a way for further exploration of high-performance, all-fiber laser sources utilizing 2D materials. [ABSTRACT FROM AUTHOR]

The binary nickel–titanium (NiTi) alloy, "Nitinol", has become a prominent name in the medical device industry among medical device manufacturers. The unique properties of the material, such as the shape‐memory effect and pseudoelasticity, have earned the material increasing popularity for new product innovations. Among the various manufacturing processes available for metal alloys, laser micromachining has taken the lead for processing Nitinol‐based products. This literature review provides an analysis of the history and applications of Nitinol, an overview of the microstructure of the material, and a review of the current manufacturing methods for laser cutting medical‐grade Nitinol. A more in‐depth focus is placed on the realm of laser processing and the challenges associated with the manufacturing process. Ultrafast femtosecond pulse processing delivers promising results and quality for manufacturing Nitinol medical devices. However, there exists a need to investigate potential approaches to increase the cutting speed of the process to enhance throughput and stay competitive in a growing market due to the cutting speed being over 4‐times slower than long pulse cutting. Many tactics to address the problem are discussed, ranging from laser selection, processing parameters, and nontraditional laser machining approaches. [ABSTRACT FROM AUTHOR]

Additive manufacturing has advantages over other traditional manufacturing technologies for the fabrication of complex thin-walled parts. Previous correlation path strategies, when applied to laser metal deposition processes, suffer from contour deposition transboundary and surface "scar" type overstacking. Therefore, this paper proposes a hybrid path generation method for the laser metal deposition process. First, the topological logic of the STL model of the part is restored to reduce redundant calculations at the stage of obtaining the layered contour. Then, the path points are planned on the basis of the offset contours in a helical upward trend to form a globally continuous composite path in space considering the melt channel width. Finally, vectors that adaptively fit to the model surface are generated for the path points as tool orientations and they are optimized by smoothing the rotation angles. The results of experiments conducted on a multi-axis machine equipped with a laser metal deposition module show that the path generated by the proposed method is not only capable of thin-walled structures with overhanging and curved surface features but also improves the surface imperfections of the part due to sudden changes in the angle of rotation while ensuring the boundary dimensions. [ABSTRACT FROM AUTHOR]

The conventional material removal processes have always run into difficulties in machining hard materials, and nickel-based superalloys are no exception. The inherent properties of these materials usually lead to high tool wear rates and low surface integrity. These concerns justify the need for combining conventional material removal processes with advanced technologies. Laser Assisted Machining is one such process by which, through localized softening of work material prior to the cutting operation, a more efficient material removal process can be realized compared with what can be done by conventional machining. This work studies the effect of machining parameters such as constant Rotational speed at 400 RPM, feed rates of 0.035, 0.07, 0.105 mm/rev, and cutting depths of 0.3, 0.6, and 0.9 mm on variation of cutting force, chip temperature, surface roughness, and microhardness in variation of the workpiece surface. The process is a Laser Assisted Turning (LAT) process compared to conventional Turning (CT) by analyzing the parameters for a Waspaloy. A fiber laser with constant power output of 500 W was used to irradiate the tool material. The angle of contact of the beam with the tip of the tool was fixed at 60°. The workpiece's hardness was 385 ± 10 Vickers initially and had a diameter of 25 mm. It has been revealed that the application of LAT decreases the cutting force up to 16% compared to CT. The workpiece surfaces produced by LAT had higher chip temperatures than CT and were of 42% better quality in terms of surface roughness. In the LAT process, the difference in microhardness values at different points on the workpiece surface was within a much smaller range than in the CT process. The results showed that as the scanning speed of the laser increased on the surface of the workpiece, the thickness of the laser heat-affected zone below the surface of the workpiece decreased. [ABSTRACT FROM AUTHOR]