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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:船舶工程学院
学科:水声工程. 船舶与海洋结构物设计制造
办公地点:综合实验2号楼509室
联系方式:wjchen@dlut.edu.cn
电子邮箱:wjchen@dlut.edu.cn
A Realization Method for Transforming a Topology Optimization Design into Additive Manufacturing Structures
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论文类型:期刊论文
发表时间:2018-04-01
发表刊物:ENGINEERING
收录刊物:SCIE
卷号:4
期号:2
页面范围:277-285
ISSN号:2095-8099
关键字:Topology optimization; Additive manufacturing; Characteristics preservation; Adaptive fitting; Shape optimization
摘要:Topology optimization is a powerful design approach that is used to determine the optimal topology in order to obtain the desired functional performance. It has been widely used to improve structural performance in engineering fields such as in the aerospace and automobile industries. However, some gaps still exist between topology optimization and engineering application, which significantly hinder the application of topology optimization. One of these gaps is how to interpret topology results, especially those obtained using the density framework, into parametric computer-aided design (CAD) models that are ready for subsequent shape optimization and manufacturing. In this paper, a new method for interpreting topology optimization results into stereolithography (STL) models and parametric CAD models is proposed. First, we extract the skeleton of the topology optimization result in order to ensure shape preservation and use a filtering method to ensure characteristics preservation. After this process, the distribution of the nodes in the boundary of the topology optimization result is denser, which will benefit the subsequent curve fitting. Using the curvature and the derivative of curvature of the uniform B-spline curve, an adaptive B-spline fitting method is proposed in order to obtain a parametric CAD model with the fewest control points meeting the requirement of the fitting error. A case study is presented to provide a detailed description of the proposed method, and two more examples are shown to demonstrate the validity and versatility of the proposed method. (C) 2018 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.