A feature-driven topology optimization method preserving component sequence for the 3D printing of CFRP

Dongsheng Jia, Elliot Karl Bancroft, Yu Zhang, Jihong Zhu, Vassili V. Toropov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a topology optimization method that preserves component sequence by preserving component sequence for the 3D printing of CFRP. Component sequence preservation is an intrinsic requirement in typical engineering applications, such as additive manufacturing of continuous fibre-reinforced polymer (AM-CFRP) structures, deployable chain-like structures. In this work, the chain-of-bars design variables setting scheme is developed to realize the sequential component ’ s layout, which sets the current bar ’ s end point as the next bar’s start point. A numerical example is given to demonstrate the validity and merits of the proposed method in designing structures preserving component sequence.

Original languageEnglish
Title of host publicationAIAA Aviation Forum and ASCEND, 2024
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624107160
DOIs
StatePublished - 2024
Externally publishedYes
EventAIAA Aviation Forum and ASCEND, 2024 - Las Vegas, United States
Duration: 29 Jul 20242 Aug 2024

Publication series

NameAIAA Aviation Forum and ASCEND, 2024

Conference

ConferenceAIAA Aviation Forum and ASCEND, 2024
Country/TerritoryUnited States
CityLas Vegas
Period29/07/242/08/24

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