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321 results on '"Khan, Aqib Mashood"'

24. Investigation of the mechanical properties, surface quality, and energy efficiency of a fused filament fabrication for PA6

Author

Mushtaq Ray Tahir, Wang Yanen, Rehman Mudassar, Khan Aqib Mashood, Bao Chengwei, Sharma Shubham, Eldin Sayed M., and Abbas Mohamed

Subjects
fused filament fabrication, additive manufacturing, mechanical properties improvement, surface roughness, print time, energy efficiency, Technology, Chemical technology, TP1-1185
Abstract

Practitioners in the industry are developing predictive methods for assessing key parameters and responses of engineering materials. The aim of this research is to optimize the average surface roughness (R a), flexural strength (FS), tensile strength (TS), print time (T), and print energy consumption (E) of 3D printed Nylon 6 (PA6). Quantitative parameters for infill density (ID), layer thickness (LT), and print speed (PS) were selected. Employing the central component design (CCD)-response surface methodology (RSM) for investigational design, statistical analysis, and multi-objective optimization, a total of 20 samples were produced and analyzed to develop prediction models. The implication of the selected parameters was confirmed through variance analysis (ANOVA), and the models were validated using confirmatory trial tests. It was found that LT was essential in achieving appropriate R a and T values, while ID was a crucial factor in obtaining the necessary mechanical properties. RSM optimization led to an FS of 70.8 MPa, TS of 40.8 MPa, lowest T of 53 min, lowest possible R a of 8.30 µm, and 0.203 kW·h “E” at ID = 84%, LT = 0.21 mm, and PS = 75 mm·s−1. The study also revealed weak bond strength between layers and layers debonding after bending tests, as shown in SEM micrographs. The PA6 material exhibited flexibility during tensile testing, going into plasticity before breaking. The created numerically optimized model is anticipated to benefit manufacturers and practitioners in predicting the required surface quality for various factors before conducting experiments, ultimately improving 3D printing (3DP) processes and outcomes. Despite limitations such as limited parameter selection, small sample size, and material-specific focus, this research presents valuable insights for the 3DP industry.

Published
2023
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37. Optimizing Two-Dimensional Irregular Pattern Packing with Advanced Overlap Optimization Techniques.

Author

Meng, Longhui, Ding, Liang, Khan, Aqib Mashood, Mushtaq, Ray Tahir, and Alkahtani, Mohammed

Subjects
GENETIC algorithms, MATHEMATICAL optimization, MANUFACTURING processes, COMPARATIVE studies
Abstract

This research introduces the Iterative Overlap Optimization Placement (IOOP) method, a novel approach designed to enhance the efficiency of irregular pattern packing by dynamically optimizing overlap ratios and pattern placements. Utilizing a modified genetic algorithm, IOOP addresses the complexities of arranging irregular patterns in a given space, focusing on improving spatial and material efficiency. This study demonstrates the method's superiority over the traditional Size-First Non-Iterative Overlap Optimization Placement technique through comparative analysis, highlighting significant improvements in spatial utilization, flexibility, and material conservation. The effectiveness of IOOP is further validated by its robustness in handling diverse pattern groups and its adaptability in adjusting pattern placements iteratively. This research not only showcases the potential of IOOP in manufacturing and design processes requiring precise spatial planning but also opens avenues for its application across various industries, underscoring the need for further exploration into advanced technological integrations for tackling complex spatial optimization challenges. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Study on the Multi-Physical Field Simulation of the Double-Glow Plasma Alloying Process Parameters.

Author

Yu, Lu, Wen, Yiming, Zhou, Jindong, Qiu, Yanzhao, Yang, Danning, Dai, Hao, Zhu, Huilong, Hu, Zhiyuan, Liu, Gongtao, Khan, Aqib Mashood, and Wu, Hongyan

Subjects
PLASMA surface alloying, ELECTRON density, ELECTRON distribution, SURFACES (Technology), ELECTRON temperature
Abstract

In order to study the coupling mechanism of the process parameters during the double-glow discharge process, and thus to enhance the theoretical study of double-glow plasma surface metallurgical technology, in this paper, a two-dimensional fluid model is established using COMSOL simulation software. The effects of key processing factors on the distribution of electrons and excited argon ions, potential and electron temperature in the coupling process of double-glow discharge were investigated. The results indicated that the electron density between the two electrode plates increases as the voltage difference increases. The optimal working pressure was kept between 0.14 Torr and 0.29 Torr. The optimal electrode spacing was between 15 mm and 30 mm and decreased with the increase in pressure. Compared with the actual plasma surface alloying process experiment, the simulation results were consistent with the experiments. The research can guide experiments by combining simulation and theory, and the predictability and accuracy of double-glow surface metallurgy technology have been improved. [ABSTRACT FROM AUTHOR]

Published
2024
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