Cost and Weight Optimization of Hybrid Parts Using a Multi-material Topology Optimization Approach

Falkenberg, Paul; Türck, Eiko; Vietor, Thomas

doi:10.1007/978-3-319-67988-4_107

Cited by 2 publications

(2 citation statements)

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“…Saitou et al used GAs to simultaneously optimize the topology of a multicomponent structure in addition to the configuration of joints between components without predefining either joining domains or the quantity of joints . Falkenberg et al automatically inserted cohesive bonding elements between elements of dissimilar materials after each iteration of a hard‐kill multimaterial topology optimization approach, eliminating the need to define joining domains …”

Section: Introductionmentioning

confidence: 99%

“…[33][34][35] Falkenberg et al automatically inserted cohesive bonding elements between elements of dissimilar materials after each iteration of a hard-kill multimaterial topology optimization approach, eliminating the need to define joining domains. 36 All MMTO approaches other than three-phase SIMP suffer from either numerical instabilities, a strong dependence on the initial guess, slow convergence, or any combination of these drawbacks. 37 Moreover, all MMTO schemes proposed in the literature assume that all elements are perfectly and continuously fused together even if they have dissimilar material properties; this limitation is also known as the ideal fusing assumption.…”

Section: Introductionmentioning

confidence: 99%

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Multimaterial multijoint topology optimization

Woischwill

Kim

2018

Numerical Meth Engineering

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Summary In this paper, a methodology that solves multimaterial topology optimization problems while also optimizing the quantity and type of joints between dissimilar materials is proposed. Multimaterial topology optimization has become a popular design optimization technique since the enhanced design freedom typically leads to superior solutions; however, the conventional assumption that all elements are perfectly fused together as a single piece limits the usefulness of the approach since the mutual dependency between optimal multimaterial geometry and optimal joint design is not properly accounted for. The proposed methodology uses an effective decomposition approach to both determine the optimal topology of a structure using multiple materials and the optimal joint design using multiple joint types. By decomposing the problem into two smaller subproblems, gradient‐based optimization techniques can be used and large models that cannot be solved with nongradient approaches can be solved. Moreover, since the joining interfaces are interpreted directly from multimaterial topology optimization results, the shape of the joining interfaces and the quantity of joints connecting dissimilar materials do not need to be defined a priori. Three numerical examples, which demonstrate how the methodology optimizes the geometry of a multimaterial structure for both compliance and cost of joining, are presented.

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Section: Introductionmentioning

confidence: 99%