M
Mohamed Elbestawi
Researcher at McMaster University
Publications - 247
Citations - 8971
Mohamed Elbestawi is an academic researcher from McMaster University. The author has contributed to research in topics: Machining & Selective laser melting. The author has an hindex of 50, co-authored 210 publications receiving 7200 citations. Previous affiliations of Mohamed Elbestawi include McMaster-Carr & University of Waterloo.
Papers
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Proceedings ArticleDOI
Experimental Investigation of Workpiece/Fixture Contact and Its Implementation in Numerical Simulation of Machining Processes
Ibrahim Deiab,Mohamed Elbestawi +1 more
TL;DR: In this article, the workpiece/fixture frictional contact is modeled using the finite element method, and the results of an experimental investigation of the characteristics of workpiece and fixture contact and its implementation in a numerical simulation of face milling are presented.
Journal ArticleDOI
Metal-Resistant PGPR Strain Azospirillum brasilense EMCC1454 Enhances Growth and Chromium Stress Tolerance of Chickpea (Cicer arietinum L.) by Modulating Redox Potential, Osmolytes, Antioxidants, and Stress-Related Gene Expression
Enas M. El-Ballat,Sobhy E. Elsilk,Hayssam M. Ali,Hamada E Ali,Christophe Hano,Mohamed Elbestawi +5 more
TL;DR: In this paper , the potential of the plant growth-promoting rhizobacteria (PGPR) strain Azospirillum brasilense EMCC1454 as a useful bio-inoculant for boosting the growth, performance and chromium stress tolerance of chickpea (Cicer arietinum L).
Proceedings ArticleDOI
Intelligent control for computer integrated manufacturing
TL;DR: In this article, an intelligent machining controller is developed for cutting-force regulation of the peripheral milling process, which combines parameter adaptive control algorithms(s) with heuristic logic, which monitors the performance of the control algorithms.
Journal ArticleDOI
On the Fabrication of High-Performance Additively Manufactured Copper Winding Using Laser Powder Bed Fusion
TL;DR: In this paper , the power density of the copper laser powder bed fusion (Cu-LPBF) coil was improved by increasing the slot-filling factor (SFF) and the electrical conductivity.
Journal ArticleDOI
Laser Powder Bed Fusion of Functionally Graded Bi-Materials: Role of VC on Functionalizing AISI H13 Tool Steel
TL;DR: In this article, the feasibility of fabricating defect-free functionally graded bimaterials (FGMs) with enhanced wear resistance via incorporation of vanadium carbide (VC) into H13 tool steel was investigated.