M
Mustufa Haider Abidi
Researcher at King Saud University
Publications - 109
Citations - 1532
Mustufa Haider Abidi is an academic researcher from King Saud University. The author has contributed to research in topics: Computer science & Machining. The author has an hindex of 16, co-authored 86 publications receiving 759 citations.
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Electric discharge machining of titanium and its alloys: review
Jaber Abu Qudeiri,Abdel-Hamed I. Mourad,Aiman Ziout,Mustufa Haider Abidi,Ahmed Elkaseer,Ahmed Elkaseer +5 more
TL;DR: In this paper, the experimental and theoretical studies on EDM that aimed to improve the process performance, including material removal rate, surface quality, and tool wear rate, among others.
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Virtual Reality-Based Engineering Education to Enhance Manufacturing Sustainability in Industry 4.0
TL;DR: In this article, the authors present a technique for utilizing the leading visualization method based on virtual reality in product manufacturing, which aims to acquaint students with the prominent concept of Industry 4.0, the reconfigurable manufacturing system (RMS).
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Implementing traceability systems in specific supply chain management (SCM) through critical success factors (CSFs)
TL;DR: In this paper, a structural model is analyzed using Fuzzy MICMAC (Matrice d’Impacts Croises-Multipication Applique and Classment-cross-impact matrix multiplication applied to classification) approach to identify the importance of CSFs by driving and dependence power.
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Advanced Electric Discharge Machining of Stainless Steels: Assessment of the State of the Art, Gaps and Future Prospect.
Jaber Abu Qudeiri,Ahmad M. Saleh,Aiman Ziout,Abdel-Hamid I. Mourad,Abdel-Hamid I. Mourad,Mustufa Haider Abidi,Ahmed Elkaseer,Ahmed Elkaseer +7 more
TL;DR: Research studies on the application of EDM to different grades of stainless steel materials are reviewed and experimental and theoretical studies that have attempted to improve the process performance are described, by considering material removal rate, surface quality and tool wear rate.
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Assessment of virtual reality-based manufacturing assembly training system
TL;DR: The results of the study reveal that participants trained by VR committed fewer errors and took lesser time in actual product assembly when compared against the participant from traditional or baseline training group.