Three-Dimension Model and Rapid Prototyping of Car Interior Handle Based on Reverse Engineering
Authors: 
Hongjun Ni, Weijia Tang, Shuaishuai Lv, Yu Zhu, Xingxing Wang, Kaixuan Wang, Tiancheng Huang, Jianhua SunAuthors Info & Claims
Hongjun Ni, Weijia Tang, Shuaishuai Lv, Yu Zhu, Xingxing Wang, Kaixuan Wang, Tiancheng Huang, Jianhua SunAuthors Info & ClaimsArticle No.: 14, Pages 1 - 5
Abstract
The reverse engineering and rapid prototyping technology are used to analyze and improve the car interior handle. Digital information of the selected car interior handle are collected and sorted by hand-held laser scanner due to its structural characteristics. By the reverse design idea, the reconstruction of the inner handle surface and the 3D solid modeling are completed based on Imageware and SolidWorks software Finally, the car interior handle is obtained through rapid prototyping technology. The application of reverse engineering and rapid prototyping technology can greatly shorten the design and development cycle and effectively improve the design efficiency of products.
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Published In
October 2019
418 pages
ISBN:9781450372022
DOI:10.1145/3358331
Copyright © 2019 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 October 2019
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- Research-article
- Research
- Refereed limited
Funding Sources
- Priortity Discipline Construction Program of Jiangsu Province
- Priority Academic Program Development of Jiangsu Higher Education Institutions
- Nantong Key Laboratory of 3D printing technology and Application
- Key Research and Development Program of Jiangsu (Industry Prospects and Common Key Technologies)
- Jiangsu Wall Material Innovation Research Project
- Nantong Applied Research Project
- Nantong Science and Technology Commission of China
- Teaching Reform Project of Nantong University
- Qing Lan Project of Jiangsu Province
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AIAM 2019
AIAM 2019: 2019 International Conference on Artificial Intelligence and Advanced Manufacturing
October 17 - 19, 2019
Dublin, Ireland
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Overall Acceptance Rate 100 of 285 submissions, 35%
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