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Title of Journal: Struct Multidisc Optim

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Abbravation: Structural and Multidisciplinary Optimization

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Springer Berlin Heidelberg

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DOI

10.1016/j.anbehav.2007.07.009

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ISSN

1615-1488

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Drop test simulation and surrogatebased optimizat

Authors: O Mülkoğlu M A Güler E Acar H Demirbağ
Publish Date: 2016/10/12
Volume: 55, Issue: 4, Pages: 1517-1534
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Abstract

A drop test simulation of the mechanical structure of a redesigned dishwasher is performed by using a detailed finite element FE model The nonlinear explicit FE code LSDYNA® is used for the drop impact simulations The FE model is validated through real tests of two drop scenarios vertical and inclined to the side An optimization study is performed in order to determine the optimum design variables for better crash performance The effects of geometric parameters and material properties on the weights of certain components ie dogleg plate and bottom foam are investigated A surrogatebased optimization approach is used to find optimum values for the dogleg plate thickness bottom foam density and increment of the bottom foam height to minimize the weights of both components Two different surrogate models are used to predict optimization problem constraints that have a crucial role in the crash performance of the dishwasher mechanical structure and packaging module the polynomial response surface and radial basis functions The results showed that the dogleg plate mass can be slightly reduced and the bottom foam mass can be significantly reduced in order to obtain the optimum dishwasher configuration and better crashworthiness The weights of the dogleg plate and bottom foam could be lowered by as much as 595 and 248  respectively Finally multiobjective optimization is performed by minimizing a composite objective function that provides a compromise between the weights of both components The results showed that weight reductions of 23 and 215  could be obtained for the dogleg plate and bottom foam respectivelyThis research was supported by TUBITAK The Scientific and Technological Research Council of Turkey and ARCELİK AS under the TEYDEB1505 program Project number 5130016 The authors thank F Ercin of ARCELIK AS for helping with the foam material model validation tests The authors also thank M Unlusoy and GN Naymanoglu of ARCELIK AS for their contributions to this studyThe coefficients of the RBF model for the maximum displacement to the side at the dogleg plate u y for the maximum displacement to the side at the sidewalls v y for the absorbed energy at the bottom foam E A and for the effective strain at the bottom foam E S are given in Tables 1114 respectively Surrogate models for absorbed energy and effective strain at the bottom foam are shown in Figs 18 and 19 respectively


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  6. Topology optimization of composite structures with data-driven resin filling time manufacturing constraint
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