期刊文献+

面向增材制造的正向产品建模技术 被引量:7

Product modeling for additive manufacturing
原文传递
导出
摘要 传统CAD建模技术因其自身的局限性,极大地限制了增材制造产品的设计空间.为了最大限度地发挥增材制造的技术优势,需要在产品设计阶段通过综合产品形状、大小、层次结构以及物质组成实现产品性能的最优化及制造成本的节约化.本文根据增材制造的4种特性,从复杂形状建模、复杂材料建模、复杂层次建模以及面向制造的建模等4个方面论述了国内外对于面向增材制造的正向产品建模技术的研究概况.在此基础上,本文对该领域的发展趋势进行了探讨,认为综合一体化建模与轻量化建模将成为未来发展方向. The intrinsic limitations of traditional CAD modeling severely restrain the design space of additive manufacturing(AM). In order to maximize the technological superiority of AM, great effort should be madeto optimize product performance and save manufacturing cost through considering the shape, size, hierarchical structure, and material composition in the design phase. According to AM characteristics, this paper summarizes the state-of-the-art research of AM product modeling in the following four aspects: complex shape modeling,complex material modeling, complex hierarchy modeling, and modeling for manufacturing. Based on this, future development trends in this field are discussed. Integrated modeling and lightweight modeling are considered as the potential development direction of AM product modeling.
出处 《中国科学:信息科学》 CSCD 北大核心 2015年第2期181-196,共16页 Scientia Sinica(Informationis)
关键词 增材制造 复杂形状建模 复杂材料建模 复杂层次建模 面向制造的建模 additive manufacturing complex shape modeling complex material modeling complex hierarchy modeling modeling for manufacturing
  • 相关文献

参考文献10

二级参考文献75

共引文献1087

同被引文献83

  • 1李娜,程继红,杨继全.3DP分层切片中基于点云射线投影的NURBS曲面切片算法[J].机械科学与技术,2015,34(2):242-246. 被引量:5
  • 2颜永年,张人佶,林峰.激光快速成形技术的新进展[J].新技术新工艺,2006(9):7-9. 被引量:25
  • 3温佩芝,吴晓军,吴成柯,刘伟军.自适应细分曲面算法及在快速成型数据处理中的应用[J].计算机集成制造系统,2007,13(3):608-613. 被引量:4
  • 4Gao W,Zhang Y B,Ramanujan D,et al.The status,challenges,and future of additive manufacturing in engineering[J].Computer-Aided Design,2015,69(8):65-89.
  • 5Barbero B R,Ureta E S.Comparative study of different digitization techniques and their accuracy[J].Computer-Aided Design,2011,43(2):188-206.
  • 6Curkovic M,Vucina D.3D shape acquisition and integral compact representation using optical scanning and enhanced shape parameterization[J].Advanced Engineering Informatics,2014,28 (2):111-126.
  • 7Yan F,Sharf A,Lin W,et al.Proactive 3d scanning of inaccessible parts[J].ACM Transactions on Graphics,2014,33(4):1-8.
  • 8Hashimoto T,Suzuki T,Aoshima H,et al.Multi-camera based high precision measurement approach for surface acquisition[J].Acta Polytechica Hungarica,2013,10(8):139-152.
  • 9Stark R,Grosser H,Muller P.Product analysis automation for digital MRO based on intelligent 3D data acquisition[J].CIRP Annals Manufactu-ring Technology,2013,62(1):123-126.
  • 10Liu F,Zhou H,Li D.Repair of STL errors[J].International Journal of Production Research,2009,47(1):105-118.

引证文献7

二级引证文献38

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部