18 results on '"I. Alkhasli"'
Search Results
2. Macroscopic Modeling of an Agglomerated and Sintered Particle in Air Plasma Spraying
- Author
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Martin Knoch, K. Bobzin, Mehmet Öte, and I. Alkhasli
- Subjects
Materials science ,Particle modeling ,Momentum transfer ,Plasma ,Penetration (firestop) ,Condensed Matter Physics ,Surfaces, Coatings and Films ,Computer Science::Multiagent Systems ,Physics::Fluid Dynamics ,Thermal conductivity ,Agglomerate ,Heat transfer ,Materials Chemistry ,Astrophysics::Earth and Planetary Astrophysics ,Composite material ,Contact area - Abstract
Existing modeling techniques can determine the heat transfer within idealized spherical particles with homogenous morphology. Agglomerated particles are not homogenous and consist of multiple smaller particles which are packed together. The reduced contact area between the individual smaller particles results in a drastic reduction in the effective thermal conductivity of the agglomerate. Conversely, it can enhance the heat transfer due to the increased particle surface area and gas penetration into the agglomerate. Moreover, the momentum transfer from the plasma to the agglomerate differs from that of a homogenous spherical particle, which can significantly affect the heating dynamics of the agglomerate. All of the mentioned phenomena have been taken into account in a novel particle modeling approach by resolving the 3-D geometry of the agglomerates and the flow around it. The presented model is coupled with the particle-laden free jet model. Differences in kinematics and heating dynamics of the agglomerates have been analyzed with regard to their packing densities. The presented model was compared to a simplified approach where the agglomerates were represented by spherical particles with their mass corresponding to the agglomerates with different packing distances. The comparison proved the necessity of 3-D resolution of the particle morphology.
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- 2019
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3. Macroscopic particle modeling in air plasma spraying
- Author
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K. Bobzin, Martin Knoch, Mehmet Öte, and I. Alkhasli
- Subjects
Materials science ,Field (physics) ,0211 other engineering and technologies ,02 engineering and technology ,Surfaces and Interfaces ,General Chemistry ,Plasma ,Mechanics ,Condensed Matter Physics ,Surfaces, Coatings and Films ,020303 mechanical engineering & transports ,Thermal conductivity ,0203 mechanical engineering ,Heat flux ,visual_art ,Materials Chemistry ,Melting point ,visual_art.visual_art_medium ,Particle ,Coupling (piping) ,021108 energy ,Ceramic - Abstract
High plasma temperatures in air plasma spraying enable the processing of ceramic powder particles which have high melting points and low heat conductance. Short dwelling times in the order of milliseconds, related to their high in-flight velocities, result in particles that are not necessarily fully molten upon impact on the substrate surface. Experimental particle temperature measurements by means of particle diagnostic systems deliver merely the surface temperature of the particles while the melting degree of the ceramic particles remains unknown. To investigate the temperature field and the melting degree within the thermally sprayed Al 2 O 3 particles, a simulation method based on macroscopic particle modeling is introduced. This method is based on the coupling of a particle-laden free jet model with an external particle heating model. The advantage of the external model is the spatial resolution of the 3-D geometry, which would allow the calculation of melting degree of not just spherical particles, but also of particles of arbitrary shape and morphology. Furthermore, two strategies for the coupling of the heat flux from the free jet model with the particle heating model are analyzed. Taking the surface temperature of the particles during the coupling into account has resulted in a more precise melting degree calculation, which potentially will become more significant for materials with lower thermal conductivity. Different particle sizes and trajectories are used to compare the results of this method to those obtained based on conventional lump-capacitance assumption. It is evident that the lump-capacitance method noticeably overshoots the melting degree of the particles and can reasonably predict it only after a certain stand-off distance. Macroscopic particle modeling has shown to be an alternative to discrete particle modeling and has a potential to model particles with complex shapes.
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- 2019
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4. Simulation of Multiple Particle Impacts in Plasma Spraying
- Author
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H. Heinemann, I. Alkhasli, Kirsten Bobzin, and Wolfgang Wietheger
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Work (thermodynamics) ,Materials science ,Substrate (printing) ,Plasma ,Raw material ,engineering.material ,Physics::Fluid Dynamics ,Momentum ,Condensed Matter::Materials Science ,Viscosity ,Coating ,engineering ,Particle ,Composite material - Abstract
Plasma spraying is a versatile coating process, which allows processing of nearly any feedstock material. The feedstock material is injected in powder form into the plasma jet, where it is heated and accelerated towards the substrate. The impacting particles form a coating on the substrate surface by deforming and rapidly solidifying. The resulting coating microstructure strongly depends on the dynamics of the particle deformation and solidification. The simulation of the particle impact on the substrate surface allows a better understanding of these phenomena. In this work, a modified momentum source based solidification model, which is suitable for the simulation of multiple particle impacts, is developed. It represents a more robust alternative to the existing momentum source formulation and the viscosity based solidification model commonly used in the literature. The developed solidification model is implemented in a three-dimensional coating build-up simulation to acquire the coating microstructure.
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- 2021
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5. Macroscopic Modelling of an Agglomerated and Sintered Particle in Air Plasma Spraying
- Author
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K. Bobzin, M. Öte, M.A. Knoch, and I. Alkhasli
- Abstract
A low thermal conductivity in feedstock material and high plasma temperatures generally lead to inhomogeneous heating of particles in plasma spraying. Existing modeling methods can determine heat transfer within idealized spherical particles with homogenous morphology, but in many cases, particles have an agglomerated morphology, consisting of multiple smaller particles that are packed together. The reduced contact area between the individual smaller particles results in a drastic reduction of the effective thermal conductivity of the agglomerate. On the other hand, it enhances heat transfer from the plasma gas due to the increased particle surface area and penetration of the hot plasma into the agglomerate. Moreover, the momentum transfer from the plasma to the agglomerate differs from that of a homogenous spherical particle, which can significantly affect heating dynamics. This paper presents a novel particle modeling approach that accounts for all such phenomena. Differences in kinematics and heating dynamics of the agglomerates are analyzed with regard to their packing densities.
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- 2019
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6. Temperature distribution on thermally sprayed heating conductor coatings
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Martin Knoch, Kirsten Bobzin, Mehmet Öte, and I. Alkhasli
- Subjects
Materials science ,Atmosphärisches Plasmaspritzen, electrical heater coating, simulation ,Substrate (electronics) ,engineering.material ,simulation ,Thermographic camera ,law.invention ,Coating ,Heat flux ,law ,engineering ,Perpendicular ,ddc:530 ,Injection moulding ,Composite material ,Thermal spraying ,Cavity wall - Abstract
IOP conference series / Materials science and engineering 480(1), 1-11 (2019). doi:10.1088/1757-899X/480/1/012002, Published by Institute of Physics, London [u.a.]
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- 2019
- Full Text
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7. Numerical Investigation of the Melting Degree of Ceramic Powder Particles During Air Plasma Spraying
- Author
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K. Bobzin, M. Öte, M. A. Knoch, and I. Alkhasli
- Abstract
Air plasma spraying is a variation of thermal spraying that is used, among others, for the production of thermal barrier and wear resistant coatings. High plasma temperatures enable the processing of ceramic powder particles which have a high melting point and cannot be processed otherwise. Due to their low heat conductance, the ceramic particles are not necessarily fully melted during their flight in the free jet and prior to the impact on the substrate surface. Experimental particle temperature measurements by means of particle diagnostics systems deliver merely the surface temperature of the particles while the melting degree of the ceramic particles remains unknown. Therefore, the temperature field within spherical Al2O3 particles is numerically investigated for a commonly used particle size distribution by considering different particle sizes. The model includes a two-way coupled particle-laden free jet model and takes the latent heat of melting and evaporation into account. The effect of the particles size as well as the stand-off distance on the melting degrees of the particles in the given powder size distribution is determined.
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- 2017
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8. Modelling of particle impact using modified momentum source method in thermal spraying
- Author
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S. R. Dokhanchi, Martin Knoch, Kirsten Bobzin, Mehmet Öte, and I. Alkhasli
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Materials science ,business.industry ,Context (language use) ,Mechanics ,Computational fluid dynamics ,engineering.material ,Physics::Fluid Dynamics ,Momentum ,Coating ,Volume of fluid method ,engineering ,Deposition (phase transition) ,Particle ,ddc:530 ,business ,Thermal spraying - Abstract
21st Chemnitz Seminar on Materials Engineering : 6-7 March 2019, Chemnitz, Germany 21. Werkstofftechnisches Kolloquium 21st Chemnitz Seminar on Materials Engineering = 21. Werkstofftechnisches Kolloquium, WTK 2019, Chemnitz, Germany, 6 Mar 2019 - 7 Mar 2019; [Bristol] : IOP Publishing, IOP conference series / Materials science and engineering 480, 1 012003 pp. (2019). doi:10.1088/1757-899X/480/1/012003, Published by IOP Publishing, [Bristol]
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- 2019
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9. Tailoring the heat transfer on the injection moulding cavity by plasma sprayed ceramic coatings
- Author
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Mehmet Öte, I. Alkhasli, Kirsten Bobzin, Martin Knoch, Mauritius Schmitz, Hanna Dornebusch, and Ch. Hopmann
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Plasmaspritzen ,Plasmaspritzen, Spritzgießen ,Materials science ,Spritzgießen ,Plasma sprayed ,visual_art ,Heat transfer ,visual_art.visual_art_medium ,Injection moulding ,ddc:530 ,Ceramic ,Composite material - Abstract
IOP conference series / Materials science and engineering 181, 012013(2017). doi:10.1088/1757-899X/181/1/012013, Published by Institute of Physics, London [u.a.]
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- 2017
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10. Thick Coating Formation Processes
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Thomas Frederik Linke, Kirsten Bobzin, Mehmet Öte, and I. Alkhasli
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Materials science ,Coating ,engineering ,engineering.material ,Composite material - Published
- 2016
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11. Simulation of the Particle Melting Degree in Air Plasma Spraying
- Author
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Mehmet Öte, I. Alkhasli, K. Bobzin, Martin Knoch, Oleg Mokrov, Uwe Reisgen, and O. Lisnyi
- Subjects
History ,Jet (fluid) ,Materials science ,Gas dynamic cold spray ,Mechanics ,Plasma ,Computer Science Applications ,Education ,Thermal barrier coating ,Physics::Plasma Physics ,Plasma torch ,Vaporization ,State of matter ,Particle - Abstract
Plasma spraying is a coating process which is widely used for the application of thermal barrier coatings. High plasma jet temperatures allow the processing of ceramic material particles which characteristically exhibit low thermal conductivities. This, in turn, produces high temperature gradients inside the particles and vaporization on the particles' surface during their dwell time in the plasma jet. Thus, a single particle in the plasma-jet can exhibit 3 states of matter simultaneously: solid in the core, molten exterior and gaseous on the surface. The temperature distribution inside the particles is the foremost factor which influences the particles' behavior during their impact on the substrate surface. Experimental investigations can provide only the surface temperature of the particles, which is not a good indicator of the melting degree for ceramic particles due to the high temperature gradients. This study focuses on the determination of the temperature distributions inside the particles, during their flight in the plasma and the free jet, with the help of numerical simulations. For this purpose, a numerical model of the plasma spraying process that describes the plasma and the free jet loaded with sprayed particles is presented. The model includes three sub-models; a plasma torch sub-model, a particle-laden free jet sub-model and a powder particles sub-model. The first sub-model calculates the temperature and velocity fields of the plasma inside the plasma torch, the second sub-model the kinetics of temperature and velocity fields of the turbulent free jet generated by the plasma torch. This information is used in the third sub-model to calculate the kinetics of temperature distribution within the particles, their melting degree and mass losses due to evaporation. The third sub-model also calculates heat and mechanical impulse loses due to the particle-plasma interaction, which in turn is coupled with the free jet sub-model.
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- 2017
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12. Temperature distribution on thermally sprayed heating conductor coatings.
- Author
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K Bobzin, M Öte, M A Knoch, and I Alkhasli
- Published
- 2019
- Full Text
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13. Modelling of particle impact using modified momentum source method in thermal spraying.
- Author
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K Bobzin, M Öte, M A Knoch, I Alkhasli, and S R Dokhanchi
- Published
- 2019
- Full Text
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14. Simulation of the Particle Melting Degree in Air Plasma Spraying.
- Author
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K. Bobzin, M. Öte, M. A. Knoch, I. Alkhasli, U. Reisgen, O. Mokrov, and O. Lisnyi
- Published
- 2017
- Full Text
- View/download PDF
15. Tailoring the heat transfer on the injection moulding cavity by plasma sprayed ceramic coatings.
- Author
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K Bobzin, Ch Hopmann, M Öte, M A Knoch, I Alkhasli, H Dornebusch, and M Schmitz
- Published
- 2017
- Full Text
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16. A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation.
- Author
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Uhlig S, Alkhasli I, Schubert F, Tschöpe C, and Wolff M
- Abstract
Ultrasonic Testing (UT) has seen increasing application of machine learning (ML) in recent years, promoting higher-level automation and decision-making in flaw detection and classification. Building a generalized training dataset to apply ML in non-destructive evaluation (NDE), and thus UT, is exceptionally difficult since data on pristine and representative flawed specimens are needed. Yet, in most UT test cases flawed specimen data is inherently rare making data coverage the leading problem when applying ML. Common data augmentation (DA) strategies offer limited solutions as they don't increase the dataset variance, which can lead to overfitting of the training data. The virtual defect method and the recent application of generative adversarial neural networks (GANs) in UT are sophisticated DA methods targeting to solve this problem. On the other hand, well-established research in modeling ultrasonic wave propagations allows for the generation of synthetic UT training data. In this context, we present a first thematic review to summarize the progress of the last decades on synthetic and augmented UT training data in NDE. Additionally, an overview of methods for synthetic UT data generation and augmentation is presented. Among numerical methods such as finite element, finite difference, and elastodynamic finite integration methods, semi-analytical methods such as general point source synthesis, superposition of Gaussian beams, and the pencil method as well as other UT modeling software are presented and discussed. Likewise, existing DA methods for one- and multidimensional UT data, feature space augmentation, and GANs for augmentation are presented and discussed. The paper closes with an in-detail discussion of the advantages and limitations of existing methods for both synthetic UT training data generation and DA of UT data to aid the decision-making of the reader for the application to specific test cases., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2023
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17. Preconditioning prefrontal connectivity using transcranial direct current stimulation and transcranial magnetic stimulation.
- Author
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Alkhasli I, Mottaghy FM, Binkofski F, and Sakreida K
- Abstract
Transcranial direct current stimulation (tDCS) and transcranial magnetic stimulation (TMS) have been shown to modulate functional connectivity. Their specific effects seem to be dependent on the pre-existing neuronal state. We aimed to precondition frontal networks using tDCS and subsequently stimulate the left dorsolateral prefrontal cortex (lDLPFC) using TMS. Thirty healthy participants underwent excitatory, inhibitory, or sham tDCS for 10 min, as well as an excitatory intermittent theta-burst (iTBS) protocol (600 pulses, 190 s, 20 × 2-s trains), applied over the lDLPFC at 90% of the individual resting motor threshold. Functional connectivity was measured in three task-free resting state fMRI sessions, immediately before and after tDCS, as well as after iTBS. Testing the whole design did not yield any significant results. Analysis of the connectivity between the stimulation site and all other brain voxels, contrasting only the interaction effect between the experimental groups (excitatory vs. inhibitory) and the repeated measure (post-tDCS vs. post-TMS), revealed significantly affected voxels bilaterally in the anterior cingulate and paracingulate gyri, the caudate nuclei, the insula and operculum cortices, as well as the Heschl's gyrus. Post-hoc ROI-to-ROI analyses between the significant clusters and the striatum showed post-tDCS, temporo-parietal-to-striatal and temporo-parietal-to-fronto-cingulate differences between the anodal and cathodal tDCSgroup, as well as post-TMS, striatal-to-temporo-parietal differences between the anodal and cathodal groups and frontostriatal and interhemispheric temporo-parietal cathodal-sham group differences. Excitatory iTBS to a tDCS-inhibited lDLPFC thus yielded more robust functional connectivity to various areas as compared to excitatory iTBS to a tDCS-enhanced DLPFC. Even considering reduced statistical power due to low subject numbers, results demonstrate complex, whole-brain stimulation effects. They are possibly facilitated by cortical homeostatic control mechanisms and show the feasibility of using tDCS to modulate subsequent TMS effects. This proof-of-principle study might stimulate further research into the principle of preconditioning that might be useful in the development of protocols using DLPFC as a stimulation site for the treatment of depression., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Alkhasli, Mottaghy, Binkofski and Sakreida.)
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- 2022
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18. Modulation of Fronto-Striatal Functional Connectivity Using Transcranial Magnetic Stimulation.
- Author
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Alkhasli I, Sakreida K, Mottaghy FM, and Binkofski F
- Abstract
Background : The fronto-striatal network is involved in various motor, cognitive, and emotional processes, such as spatial attention, working memory, decision-making, and emotion regulation. Intermittent theta burst transcranial magnetic stimulation (iTBS) has been shown to modulate functional connectivity of brain networks. Long stimulation intervals, as well as high stimulation intensities are typically applied in transcranial magnetic stimulation (TMS) therapy for mood disorders. The role of stimulation intensity on network function and homeostasis has not been explored systematically yet. Objective : In this pilot study, we aimed to modulate fronto-striatal connectivity by applying iTBS at different intensities to the left dorso-lateral prefrontal cortex (DLPFC). We measured individual and group changes by comparing resting state functional magnetic resonance imaging (rsfMRI) both pre-iTBS and post-iTBS. Differential effects of individual sub- vs. supra-resting motor-threshold stimulation intensities were assessed. Methods : Sixteen healthy subjects underwent excitatory iTBS at two intensities [90% and 120% of individual resting motor threshold (rMT)] on separate days. Six-hundred pulses (2 s trains, 8 s pauses, duration of 3 min, 20 s) were applied over the left DLPFC. Directly before and 7 min after stimulation, task-free rsfMRI sessions, lasting 10 min each, were conducted. Individual seed-to-seed functional connectivity changes were calculated for 10 fronto-striatal and amygdala regions of interest with the SPM toolbox DPABI. Results : Sub-threshold-iTBS increased functional connectivity directly between the left DLPFC and the left and right caudate, respectively. Supra-threshold stimulation did not change fronto-striatal functional connectivity but increased functional connectivity between the right amygdala and the right caudate. Conclusion : A short iTBS protocol applied at sub-threshold intensities was not only sufficient, but favorable, in order to increase bilateral fronto-striatal functional connectivity, while minimizing side effects. The absence of an increase in functional connectivity after supra-threshold stimulation was possibly caused by network homeostatic effects.
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- 2019
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