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Faizal Mustapha

Researcher at Universiti Putra Malaysia

Publications -  193
Citations -  3037

Faizal Mustapha is an academic researcher from Universiti Putra Malaysia. The author has contributed to research in topics: Finite element method & Composite number. The author has an hindex of 25, co-authored 177 publications receiving 2305 citations. Previous affiliations of Faizal Mustapha include University of Sheffield & National Defense University.

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Material screening and choosing methods: A review

TL;DR: A review of the literature in the field of material selection of engineering components can be found in this paper, where a variety of quantitative selection procedures have been developed to solve this issue, so that a systematic evaluation can be made.
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A comprehensive VIKOR method for material selection

TL;DR: In this article, a new version of VIKOR method, which covers all types of criteria with emphasize on compromise solution, is proposed in this paper, which can enhance exactness of material selection results in different applications.
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A framework for weighting of criteria in ranking stage of material selection process

TL;DR: In this paper, a framework for determining importance degree of criteria to overcome the shortcomings of this subject in material selection is presented, and the suggested framework covers the situation of interdependent relationship between the criteria which has not been surveyed in the material selection.
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A review on the vibration analysis for a damage occurrence of a cantilever beam

TL;DR: In this paper, the effects of a crack on the cantilever steel beam with circular cross section were investigated and a finite element method (FEA) software was used in developing the model.
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Study on start-up characteristics of H-Darrieus vertical axis wind turbines comprising NACA 4-digit series blade airfoils

TL;DR: In this paper, a series of transient CFD simulations were carried out using ANSYS Fluent to evaluate the effects of several geometric attributes of the turbine rotor on the starting characteristics, and the result of this simulation, in the form of an accelerating time series, demonstrates good agreement with the published experimental data, proving its usefulness for similar problems.