A
Afzal Suleman
Researcher at University of Victoria
Publications - 249
Citations - 4423
Afzal Suleman is an academic researcher from University of Victoria. The author has contributed to research in topics: Finite element method & Aeroelasticity. The author has an hindex of 29, co-authored 234 publications receiving 3694 citations. Previous affiliations of Afzal Suleman include Wright Laboratory & Victoria University, Australia.
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Design considerations for an automotive magnetorheological brake
TL;DR: In this article, the authors proposed an automotive magnetorheological (MR) brake, which consists of multiple rotating disks immersed in a MR fluid and an enclosed electromagnet, and a finite element analysis is performed to analyze the resulting magnetic circuit and heat distribution within the MR brake configuration.
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A performance evaluation of an automotive magnetorheological brake design with a sliding mode controller
TL;DR: In this paper, a magnetorheological brake (MRB) system with two rotating disks is proposed, which is based on a design optimization procedure using simulated annealing combined with finite element simulations involving magnetostatic, fluid flow and heat transfer analysis.
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Multi-variable optimization of PEMFC cathodes using an agglomerate model
TL;DR: In this article, a comprehensive numerical framework for cathode electrode design is presented and applied to predict the catalyst layer and the gas diffusion layer parameters that lead to an optimal electrode performance at different operating conditions.
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A robust weakly compressible SPH method and its comparison with an incompressible SPH
TL;DR: In this article, a comparative study of weakly compressible (WCSPH) and incompressible (ISPH) smoothed particle hydrodynamics methods by providing numerical solutions for fluid flows over an airfoil and a square obstacle is presented.
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SPH with the multiple boundary tangent method
TL;DR: In this paper, an improved solid boundary treatment formulation for the smoothed particle hydrodynamics (SPH) method is presented, called the multiple boundary tangent (MBT) approach.