Author
Ahmed Makradi
Other affiliations: Centre national de la recherche scientifique, Clemson University
Bio: Ahmed Makradi is an academic researcher from University of Strasbourg. The author has contributed to research in topics: Finite element method & Extended finite element method. The author has an hindex of 25, co-authored 72 publications receiving 2082 citations. Previous affiliations of Ahmed Makradi include Centre national de la recherche scientifique & Clemson University.
Papers published on a yearly basis
Papers
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TL;DR: In this article, a robust physically consistent three-dimensional constitutive model is developed to describe the finite mechanical response of amorphous polymers over a wide range of temperatures and strain rates, including the rubbery region and for impact loading rates.
212 citations
TL;DR: In this paper, a bi-level structure integration procedure is chosen, in which the temperature dependent thermal conductivity, specific heat, and density are integrated at the outer level then used as material constants for the integration of the heat equation in the inner level.
179 citations
TL;DR: In this article, a constitutive model for large deformation stress-strain behavior and strain-induced crystallization in poly(ethylene terephthalate), at temperatures above the glass transition temperature, is proposed.
117 citations
TL;DR: A FEA has been performed to simulate the deployment and the pulsatile loading of a self-expanding Nitinol stent inside an artery and the results of the FEA have been used to assess the impact of the stent on the artery and to assessment the influence of the artery on the deformation field within theStent.
78 citations
TL;DR: Results show that the micromechanical model can be used as an indirect characterization technique to quantify the exfoliation/aggregation degree in the plasticized starch/clay nano-biocomposites.
76 citations
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TL;DR: In this article, the authors map available additive manufacturing methods based on their process mechanisms, review modelling approaches based on modelling methods and identify research gaps and implications for closed-loop control of the process.
Abstract: Additive manufacturing is a technology rapidly expanding on a number of industrial sectors. It provides design freedom and environmental/ecological advantages. It transforms essentially design files to fully functional products. However, it is still hampered by low productivity, poor quality and uncertainty of final part mechanical properties. The root cause of undesired effects lies in the control aspects of the process. Optimization is difficult due to limited modelling approaches. Physical phenomena associated with additive manufacturing processes are complex, including melting/solidification and vaporization, heat and mass transfer etc. The goal of the current study is to map available additive manufacturing methods based on their process mechanisms, review modelling approaches based on modelling methods and identify research gaps. Later sections of the study review implications for closed-loop control of the process.
984 citations
TL;DR: In this article, a nonlinear transient model based on sequentially coupled thermo-mechanical field analysis code was developed in ANSYS parametric design language (APDL) to investigate the temperature and stress fields in single 316L stainless steel layers built on the powder bed without support in SLM.
517 citations
TL;DR: A review of the state-of-the-art in the field of starch-based nano-biocomposites can be found in this article, where various types of nanofillers that have been used with plasticised starch are discussed such as phyllosilicates, hectorite, sepiolite, etc.
444 citations
Book•
09 Oct 2012TL;DR: This review presents the MSD framework in the context of both the engineering advances that have led to its creation, and those that complement or provide alternative methods for design of materials (meaning ‘optimization of material structure’ in this context).
Abstract: The accelerating rate at which new materials are appearing, and transforming the engineering world, only serves to emphasize the vast potential for novel material structure, and related performance. Microstructure-sensitive design (MSD) aims at providing inverse design methodologies that facilitate design of material internal structure for performance optimization. Spectral methods are applied across the structure, property and processing design spaces in order to compress the computational requirements for linkages between the spaces and enable inverse design. Research has focused mainly on anisotropic, polycrystalline materials, where control of local crystal orientation can result in a broad range of property combinations. This review presents the MSD framework in the context of both the engineering advances that have led to its creation, and those that complement or provide alternative methods for design of materials (meaning ‘optimization of material structure’ in this context). A variety of definitions for the structure of materials are presented, with an emphasis on correlation functions; and spectral methods are introduced for compact descriptions and efficient computations. The microstructure hull is defined as the design space for structure in the spectral framework. Reconstruction methods provide invertible links between statistical descriptions of structure, and deterministic instantiations. Subsequently, structure–property relations are reviewed, and again subjected to representation via spectral methods. The concept of a property closure is introduced as the design space for performance optimization, and methods for moving between the closures and hulls are presented as the basis for the subsequent discussion on microstructure design. Finally, the spectral framework is applied to deformation processes, and methodologies that facilitate process design are reviewed.
368 citations