已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

A review of topology optimization for additive manufacturing: Status and challenges

拓扑优化 航空航天 计算机科学 3D打印 拓扑(电路) 制造工程 机械工程 工程类 结构工程 有限元法 电气工程 航空航天工程
作者
Jihong Zhu,Han Zhou,Chuang Wang,Zhou Lü,Shangqin Yuan,Weihong Zhang
出处
期刊:Chinese Journal of Aeronautics [Elsevier]
卷期号:34 (1): 91-110 被引量:499
标识
DOI:10.1016/j.cja.2020.09.020
摘要

Topology optimization was developed as an advanced structural design methodology to generate innovative lightweight and high-performance configurations that are difficult to obtain with conventional ideas. Additive manufacturing is an advanced manufacturing technique building as-designed structures via layer-by-layer joining material, providing an alternative pattern for complex components. The integration of topology optimization and additive manufacturing can make the most of their advantages and potentials, and has wide application prospects in modern manufacturing. This article reviews the main content and applications of the research on the integration of topology optimization and additive manufacturing in recent years, including multi-scale or hierarchical structural optimization design and topology optimization considering additive manufacturing constraints. Meanwhile, some challenges of structural design approaches for additive manufacturing are discussed, such as the performance characterization and scale effects of additively manufactured lattice structures, the anisotropy and fatigue performance of additively manufactured material, and additively manufactured functionally graded material issues, etc. It is shown that in the research of topology optimization for additive manufacturing, the integration of material, structure, process and performance is important to pursue high-performance, multi-functional and lightweight production. This article provides a reference for further related research and aerospace applications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
热心丹南发布了新的文献求助10
1秒前
2秒前
深情安青应助张航采纳,获得10
3秒前
TMEDA发布了新的文献求助10
4秒前
5秒前
6秒前
传奇3应助热心丹南采纳,获得10
6秒前
7秒前
景Q同学发布了新的文献求助50
8秒前
Jasper应助晚风采纳,获得10
9秒前
11发布了新的文献求助10
10秒前
张航完成签到,获得积分10
10秒前
心心应助xpqiu采纳,获得30
11秒前
magiczhu发布了新的文献求助10
11秒前
12秒前
yuaner发布了新的文献求助10
13秒前
星辰大海应助孤独碧空采纳,获得10
13秒前
lc应助乐克乐克采纳,获得10
13秒前
14秒前
zs33发布了新的文献求助10
16秒前
16秒前
17秒前
中陆发布了新的文献求助10
18秒前
20秒前
okko完成签到,获得积分10
21秒前
knowledge发布了新的文献求助10
22秒前
科研通AI2S应助123456采纳,获得10
23秒前
冰冰发布了新的文献求助10
23秒前
情怀应助jiabaoyu采纳,获得10
24秒前
25秒前
华仔应助ComeOn采纳,获得10
25秒前
123应助中陆采纳,获得10
26秒前
27秒前
27秒前
下雨会打伞关注了科研通微信公众号
31秒前
zc发布了新的文献求助20
33秒前
33秒前
Diss发布了新的文献求助50
34秒前
lyly完成签到,获得积分10
36秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3307151
求助须知:如何正确求助?哪些是违规求助? 2940937
关于积分的说明 8499575
捐赠科研通 2615129
什么是DOI,文献DOI怎么找? 1428685
科研通“疑难数据库(出版商)”最低求助积分说明 663493
邀请新用户注册赠送积分活动 648355