Feature Recognition for Injection-Molded and Die-Cast Parts
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.
Recommended Citation
R. A. Bidkar and D. A. McAdams, "Feature Recognition for Injection-Molded and Die-Cast Parts," Proceedings of the ASME Design Engineering Technical Conference, vol. 3, pp. 693 - 702, article no. 57754, American Society of Mechanical Engineers, Jan 2004.
The definitive version is available at https://doi.org/10.1115/detc2004-57754
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Automated Manufacturability Analysis; Design for Manufacturing; Die-Casting; Feature Recognition; Injection-Molding
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Mechanical Engineers, All rights reserved.
Publication Date
01 Jan 2004
