Feature Recognition for Injection-Molded and Die-Cast Parts Conference Paper uri icon

abstract

  • In this article, a framework to perform the computer-aided Design for Manufacturability analysis of injection-molded and die-cast parts is presented. The framework includes an implemented algorithm to solve key outstanding challenges in feature recognition for manufacturability analysis. The proposed feature recognition algorithms operate on a 3D binary array obtained from the solid model of the part. Solutions to the feature recognition problems of finding the best direction of mold closure, finding the mold parting line of the part and determining planarity of the parting surface is presented in this article. The feature recognition algorithms presented here are validated through application to several test parts. The algorithms proposed here recognize the direction of mold closure, the primary mold parting surface, undercuts, holes, and bosses present on the part. In addition, an estimated part mold cost is calculated by the algorithm.

name of conference

  • ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference

published proceedings

  • Volume 3d: 8th Design for Manufacturing Conference

author list (cited authors)

  • Bidkar, R. A., & McAdams, D. A.

citation count

  • 2

complete list of authors

  • Bidkar, Rahul A||McAdams, Daniel A

publication date

  • December 2004

publisher