Javadi, Akbar A., Faramarzi, Asaad, Farmani, Raziyeh and Mehravar, Moura (2010) Optimizing microstructure of auxetic materials. In: Proceedings of the 8th Association for Structural and Multidisciplinary Optimization in the UK (ASMO-UK). Queen Mary University of London. (Unpublished)

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Abstract

Materials that expand laterally in tension and contract laterally in compression are termed “auxetic”, meaning that they possess one or more negative Poisson’s ratios. Auxetic behavior has been proven to add significant improvement to some materials, especially to their mechanical properties related to Poisson’s ratio such as indentation resistance, shear modulus, impact absorption and damage tolerance. These materials with their improved properties have proved their efficiency in several practical fields such as automotive and aerospace industries, smart mattresses and in manufacturing smart filters. They have also shown great potential to be used in sensors, molecular sieves and as structural materials. In this paper a methodology is presented for optimum design of mictrostructure of auxetic materials. The methodology is based on a combination of finite element method and a genetic algorithm. The problem is formulated as an optimization problem of finding microstructures with prescribed behavioral requirements. Different microstructures are generated and evolved using a genetic algorithm and the behavior of each microstructure (in terms of extent of auxetic behavior) is analyzed using the finite element method to evaluate its fitness in competition with other generated structures. Numerical examples show that it is possible to design a large number of new auxetic materials, each with a different value of negative Poisson’s ratio. The proposed methodology can be used to tailor materials with prescribed values of negative (or positive) Poisson’s ratio.

Item Type:	Conference Proceedings
Title of Proceedings:	Proceedings of the 8th Association for Structural and Multidisciplinary Optimization in the UK (ASMO-UK)
Additional Information:	[1] This paper was presented at the Engineering Design Optimization: Product and Process Improvement, 8th ASMO UK/ISSMO Conference held from 8-9 July 2010 at Queen Mary, University of London. It was organized by the Association for Structural and Multidisciplinary Optimization (ASMO-UK) and the UK Branch of the International Society for Structural and Multidisciplinary Optimization (ISSMO)
Uncontrolled Keywords:	auxetic, Poisson's ratio, genetic algorithm, finite element method
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TP Chemical technology
Pre-2014 Departments:	School of Engineering School of Engineering > Department of Civil Engineering
Related URLs:	Organisation Organisation
Last Modified:	14 Oct 2016 09:26
URI:	http://gala.gre.ac.uk/id/eprint/11158

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