首页    期刊浏览 2024年11月26日 星期二
登录注册

文章基本信息

  • 标题:A Genetic Programming Approach to Model Detailed Surface Integrity of Additive Manufacturing Parts
  • 本地全文:下载
  • 作者:Saeed Jamiolahmadi ; Saeed Jamiolahmadi ; Ahmad Barari
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:3
  • 页码:2339-2344
  • DOI:10.1016/j.ifacol.2015.06.437
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Abstract Surface integrity is a crucial issue that needs to be improved in the additive manufactured products. Precise evaluation of surface integrity demands a detailed understanding of the surface behavior. Optical surface and roughness measurement sensors only provide information of the discrete points measured from the manufactured surface without the details of the surface topography. Throughout this paper, a methodology is developed to approximate the surface behavior. This work employs a Genetic Programming approach to assess the relation between the position of the measured points and their corresponding roughness. The resulting function would assist to reconstruct the surface three dimensional topography. To validate the process, actual case study on an additive manufactured part is examined for the surface integrity.
  • 关键词:KeywordsSurface integrityGenetic programmingSurface roughnessAdditive manufacturingSurface function
国家哲学社会科学文献中心版权所有