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2018 | OriginalPaper | Chapter

SIMP Based Topology Optimization for Injection Molding of SFRPs

Authors : Felix Ospald, Roland Herzog

Published in: Advances in Structural and Multidisciplinary Optimization

Publisher: Springer International Publishing

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Abstract

Today there exists a huge demand for technologies which enable and facilitate the mass production of fiber reinforced composites. Injection molding of Short Fiber Reinforced Plastics (SFRP) is a quite popular method especially in the automotive industry, providing high stiffness levels on the one hand and complex moldable shapes on the other hand. Due to the high cost of mold production and injection molding machines, nowadays lots of research is done to improve models and to develop software for the simulation of this process. This allows to detect problems with the mold design and optimization of the part performance and quality at an early stage of the development.
In the case of SFRP injection molding, the mechanical properties of the finished part are mainly influenced by the local fiber orientation, which itself depends on the shape/topology of the part. We investigate an approximate approach for compliance-based topology optimization for such parts, where we replace the costly filling and fiber orientation simulation by the solution of an eikonal equation which determines the principal fiber orientation approximately.
Sensitivities for compliance minimization are derived for the classical Solid Isotropic Material with Penalization (SIMP) method in combination with a transversely isotropic material law. The optimization problem is then discretized using the Finite Element Method and solved using a projected gradient method.

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previous chapter Structural Optimization of Stiffened Composite Panels for Highly Flexible Aircraft Wings
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Metadata
Title
SIMP Based Topology Optimization for Injection Molding of SFRPs
Authors
Felix Ospald
Roland Herzog
Copyright Year
2018
Book
Advances in Structural and Multidisciplinary Optimization

Print ISBN: 978-3-319-67987-7

Electronic ISBN: 978-3-319-67988-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67988-4_65

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