Crashworthiness Design Using Topology Optimization

Patel, Neal M.; Kang, Bongkoo; Renaud, John E.; Tovar, Andrés

doi:10.1115/1.3116256

Cited by 100 publications

(49 citation statements)

References 25 publications

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“…Although the design of energy absorption structures has been studied for many years, the implementation of TOM in this kind of problems is still relatively new [32]. Since most applications under impact events aim at maximizing the energy absorption by the structure during the collision, other structures that have shown a good performance as energy absorbers under impact loads are cellular materials.…”

Section: Topology Optimized Structures Under Impact Loadsmentioning

confidence: 99%

“…Additionally, they are good alternatives when dealing with the highly nonlinear and noisy design spaces. Examples of surrogates methods are RSM (response surface method), Kriging, artificial neural networks, and RBF (radial basis functions) [32].…”

Section: Topology Optimized Structures Under Impact Loadsmentioning

confidence: 99%

“…Consequently, these difficulties have hindered research in the structure optimization for impact loading conditions. To overcome these problems, surrogate models or non-gradient methodologies are often employed [32].…”

Section: Topology Optimized Structures Under Impact Loadsmentioning

confidence: 99%

“…These kinds of problems are complex since they require dynamic finite element and sensitivity analysis. Topology optimized structures under transient loads are of primary interest to automotive safety, specifically regarding crashworthiness [32].…”

Section: Topology Optimized Structures Under Impact Loadsmentioning

confidence: 99%

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Optimization of Functionally Graded Materials Considering Dynamical Analysis

Ramírez-Gil

Murillo-Cardoso

Silva

et al. 2016

Advanced Structured Materials

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Functionally graded materials (FGMs) are a new class of bio-inspired composite materials made from different material phases, in which their volume fraction changes gradually towards a particular direction. Accordingly, continuous changes in the composition, microstructure and porosity of the graded materials results in material properties gradients; for this reason, the material properties move smoothly and continuously from one surface to another, eliminating the interface problem. Hence, with appropriate design, FGMs can develop better properties than their homogeneous counterpart due to their better designability. One potential employment of FGMs is as damper or energy absorber in dynamic applications, in which optimization techniques such as the topology optimization method (TOM) can contribute to a better performance in relation to a non-optimized design. In this chapter, functionally graded structures are designed with and without the TOM in order to explore the advantages of the FGM concept in low-velocity impact condition, which is a special case in the world of dynamic analysis, and has interest for designing machinery parts and components.

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Section: Topology Optimized Structures Under Impact Loadsmentioning

confidence: 99%

Section: Topology Optimized Structures Under Impact Loadsmentioning

confidence: 99%

Section: Topology Optimized Structures Under Impact Loadsmentioning

confidence: 99%

Section: Topology Optimized Structures Under Impact Loadsmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Functionally Graded Materials Considering Dynamical Analysis

Ramírez-Gil

Murillo-Cardoso

Silva

et al. 2016

Advanced Structured Materials

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“…Topology optimization procedures for non-linear structures have been proposed, see e.g. Patel et al (2009), but are not yet commonly used within industry.…”

Section: Topology Optimizationmentioning

confidence: 99%

Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures

Ryberg¹

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Cover: Illustration of a continuous metamodel, developed with the estimated guiding samples approach, representing a discontinuous response in two variables.Printed by: LiU-Tryck, Linköping, Sweden, 2017 ISBN 978-91-7685-482-2 ISSN 0345-7524 Distributed by: Linköping University Department of Management and Engineering SE-581 83 Linköping, Sweden Copyright © 2017 Ann-Britt Ryberg unless otherwise notedNo part of this publication may be reproduced, stored in a retrieval system, or be transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without prior permission of the author.iii PrefaceThe work presented in this thesis has been carried out within a PhD programme at the Division of Solid Mechanics, Linköping University. Financial support has been provided by the Swedish government agency for innovation Vinnova/FFI, and it has also been a part of the SFI/ProViking project ProOpt.Some years ago when I began this journey, which I now approach the end of, I could never imagine how different some things would be today. I have learned that research is hard to plan. Setbacks, as rejection of articles, as well as happy events, as the birth of my children, have all made the journey longer than anticipated. I started my research studies as an employee of the car manufacturer Saab Automobile AB. After having spent many years working with different types of safety simulations, the intention was to find suitable methods for multidisciplinary design optimization that I could implement into the development process of the company. However, the financial situation for Saab Automobile AB became untenable and the company went into bankruptcy. I am therefore very grateful to my new employer Combitech AB that allowed me to continue my endeavours. Since Combitech AB is a technical consulting company, my focus has shifted towards improved methods rather than implementation during the latter part of the project. I am now eager to put my newly acquired knowledge into practice for our customers.A number of people have been important for the outcome of the work presented in this thesis. First and foremost, I would like to express my deepest appreciation to my supervisor Professor Larsgunnar Nilsson for his guidance and support during the course of the work. Many thanks also go to my PhD student colleague Rebecka Domeij Bäckryd for our close collaboration and very fruitful discussions during the first years of the work. Additionally, my manager Tomas Sjödin deserves special appreciation for being one of the initiators of the project and for always supporting me. I am also grateful to all my colleagues, friends, and family for their support and interest in my work.Finally, I would like to especially thank my beloved Henrik and our two lovely children Elsa and Gustav for making my life so enjoyable. I hope you will understand what is in this thesis some day and feel proud of me.Ann-Britt Ryberg, Trollhättan, October 2017 iv v Abstract Multidisciplinary design optimization (MDO) can be used...

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Topology optimization with additive manufacturing consideration for vehicle load path development

Chuang

Chen

Yang

et al. 2017

Numerical Meth Engineering

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Topology optimization has been widely studied and implemented as a powerful conceptual design tool in various engineering applications. However, the result from topology optimization has posed an implementation challenge to engineers because of the complexity of converting obtained solution into computer-aided design data and then fabricating it into real parts. Over the past few years, the advanced additive manufacturing technology with new materials and higher resolution output capabilities has opened numerous opportunities to fill the gap between topology optimization and product application. In this study, an engineering procedure is presented for the conversion of topology optimization result to ready-to-print model for additive manufacturing. The steps of post-optimization handling are outlined, and the potential practical issues for the additive manufacturing implementation are discussed. A vehicle example for full frontal impact load path development by topology optimization with inertia relief approach is used to exhibit the employed additive manufacturing implementation process with a reduced-scale part build. The arising implementation issues and needs are examined for future advance of topology optimization and additive manufacturing integration development. Figure 7. Cleanup of the topology optimization result. (a) Details of selected interrupted and disconnected features in the initial design. (b) Design after modifications.Figure 8. Additive manufacturing build for reduced-scale vehicle.

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Crashworthiness Design Using Topology Optimization

Cited by 100 publications

References 25 publications

Optimization of Functionally Graded Materials Considering Dynamical Analysis

Optimization of Functionally Graded Materials Considering Dynamical Analysis

Metamodel-Based Multidisciplinary Design Optimization of Automotive Structures

Topology optimization with additive manufacturing consideration for vehicle load path development

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