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Mohamed S. Gadala

Researcher at Abu Dhabi University

Publications -  99
Citations -  2368

Mohamed S. Gadala is an academic researcher from Abu Dhabi University. The author has contributed to research in topics: Finite element method & Impeller. The author has an hindex of 25, co-authored 99 publications receiving 2104 citations. Previous affiliations of Mohamed S. Gadala include Qatar University & University of British Columbia.

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Simulation of the orthogonal metal cutting process using an arbitrary Lagrangian–Eulerian finite-element method

TL;DR: In this article, a more general formulation, the arbitrary Lagrangian-Eulerian (ALE) method may be used to combine the advantages and avoid the shortcomings of both of the previous methods.
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Roller bearing acoustic signature extraction by wavelet packet transform, applications in fault detection and size estimation

TL;DR: In this paper, a modified and effective signal processing algorithm is designed to diagnose localized defects on rolling element bearings components under different operating speeds, loadings, and defect sizes, which is based on optimizing the ratio of Kurtosis and Shannon entropy.
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A Three-Dimensional Finite Element Model of the Cervical Spine with Spinal Cord: An Investigation of Three Injury Mechanisms

TL;DR: A three-dimensional finite element model of a human cervical spine and spinal cord segment was developed, verified using published experimental data, and used to investigate differences in cord strain distributions during various column injury patterns to provide a baseline for mechanical comparisons in spinal cord injury.
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Self-heat generation in piezoelectric stack actuators used in fuel injectors

TL;DR: In this paper, a simplified analytical self-heating model is presented, which directly relates selfheating in multilayer piezoelectric actuators to displacement-electric-field loss (displacement hysteresis).
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Numerical Analysis of Metal Cutting With Chamfered and Blunt Tools

TL;DR: In this article, the influence of cutting edge geometry on chip removal process is studied through numerical simulation of cutting with sharp, chamfered or blunt edges and with carbide and CBN tools.