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A. Asnafi

Researcher at Shiraz University

Publications -  38
Citations -  217

A. Asnafi is an academic researcher from Shiraz University. The author has contributed to research in topics: Nonlinear system & Orthotropic material. The author has an hindex of 7, co-authored 34 publications receiving 159 citations. Previous affiliations of A. Asnafi include Yasouj University.

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To reduce the maximum stress and the stress shielding effect around a dental implant-bone interface using radial functionally graded biomaterials.

TL;DR: A three-dimensional finite element simulation was used to illustrate how the use of radial FGBM dental implant can reduce the maximum von Mises stress and, also, the stress shielding effect in both the cortical and cancellous bones.
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A constitutive material model for a commercial PMMA bone cement using a combination of nano-indentation test and finite element analysis

TL;DR: In this article, a two-layer viscoplasticity model was selected and simulated in a finite element solver to obtain the constitutive material relationship for polymeric materials and a complete analogical study between the results of the finite element simulation and the experimental data was made to reach the best optimized parameters for the selected model.
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Integrated bees algorithm and artificial neural network to propose an efficient controller for active front steering control of vehicles

TL;DR: The performance of the proposed PID controller that was optimized by Bees Algorithm and trained by a neural network was proved, and it is noted that the optimized PID controller is good for all road conditions but not excellent.
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Combination of particle swarm optimization algorithm and artificial neural network to propose an efficient controller for vehicle handling in uncertain road conditions

TL;DR: By combination of a simple PID and an optimized adaptive neural network controller, an arrangement for active front steering control of vehicles in different road frictions is proposed, which fulfills both the applicability and efficiency due to dual use of PID and neural network controllers.
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A complete analogical study on the dynamic stability analysis of isotropic functionally graded plates subjected to lateral stochastic loads

TL;DR: In this article, the dynamic stability and bifurcation phenomenon for a class of isotropic functionally graded plates including power-law, sigmoid and exponential function under lateral stochastic loads are studied and compared.