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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.

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A Strategy for the Compensation of Errors in Five-Axis Machining

TL;DR: In this paper, a neural network model is used to compensate for errors due to changes in temperature and axis motion in five-axis machining, and a method based on the analysis of the neural network weights is used for selecting the most relevant thermocouple inputs.
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On the characterization of stainless steel 316L parts produced by selective laser melting

TL;DR: In this article, the characteristics of stainless steel 316L (UNS S31603) parts produced using a selective laser melting machine were investigated based on experimental observations, including geometrical errors, surface microstructures, material compositions, material phases, and residual stresses of the samples produced.
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Selective laser melting of hybrid ex-situ/in-situ reinforced titanium matrix composites: Laser/powder interaction, reinforcement formation mechanism, and non-equilibrium microstructural evolutions

TL;DR: In this paper, a hybrid ex-situ/in-Situ reinforced titanium matrix composites (TMCs) were fabricated by selective laser melting (SLM), and the optimized pre-processed 5'wt% B4C/Ti-6Al-4V composite powder feedstock was consolidated using energy densities in the range of 50'75'J/mm3.
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Surface defects during microcutting

TL;DR: In this paper, the formation of dimples at grain boundaries is explained by considering the plastic dissipation energy inside of individual grains in the material microstructure during microscale cutting.
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High-speed five-axis milling of hardened tool steel

TL;DR: In this paper, critical issues related to high-speed five-axis milling of hardened D2 tool steel (hardness HRc 63) were investigated and a forging die cavity was designed to represent the typical features in dies and molds and to simulate several effects resulting from complex tool path generation.