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Research on lightweight of automobile door interior panel based on thin-walled

Published: 18 July 2022 Publication History

Abstract

This study focused on a car model for thinning the design of the door-the most significant part of the door trim- to reduce the manufacturing cost of car doors. Specifically, the modal, stiffness, and strength were analyzed through finite element analysis. Structures of doors were optimized based on the weak position of stiffness. The sampling and assembly tests were carried out on sample pieces after the panel was designed thin. It was worth mentioning that the former (sampling test) assisted in correcting the finite element analysis model, and structures were verified feasible via the latter (assembly test). According to the study, this method plays a vital role in researching the lightweight of other similar injection molded products.

References

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Yuxuan Li, Zhongqin Lin,Aiqin Jiang,et al. Use of high strength steel sheet for lightweight and crashworthy car body[J]. Materials and design,2003,24:177-18.
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Fremgen C,Mkrtchyan L,Huber U,et al. Modeling and testing of energy absorbing lightweight materials and structures for automotive applications[J]. Science and Technology of Advanced Materials, 2005, 6:883-888.
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Shin J K, Lee K H, Song S I, Automotive Door Design with the ULSAB Concept. Using Structural Optimization[J]. Structural and Multidisciplinary Optimization, 2002, 23(4):320-327.
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Shin J K, Lee K H, Song S I, Automotive door design with the ULSAB concept using structural optimization [J]. Structural and Multidisciplinary Optimization, 2002, 23(4): 320-327.
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  1. Research on lightweight of automobile door interior panel based on thin-walled

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    cover image ACM Other conferences
    IPEC '22: Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers
    April 2022
    1065 pages
    ISBN:9781450395786
    DOI:10.1145/3544109
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 18 July 2022

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