Feature Recognition for Manufacturability Analysis
William Regli, Satyandra K. Gupta, D Nau
While automated recognition of features has been attempted for a wide range of applications, no single existing approach possesses the functionality required to perform manufacturability analysis. In this paper, we present a methodology for taking a CAD model of a part and extracting a set of machinable features that contains the complete set of alternative interpretations of the part ss collections of MRSEVs (Material Removal Shape Element Volumes, a STEP-based library of machining features). The approach handles a variety of features including those describing holes, pockets, slots, and chamfering and filleting operations. In addition, the approach considers accessibility constraints for these features, has an worst-case algorithmic time complexity quadratic in the number of solid modeling operations, and modifies features recognized to account for available tooling and produce more realistic volumes for manufacturability analysis.
Proceedings of the 1994 ASME Computers in Engineering Conference
, Gupta, S.
and Nau, D.
Feature Recognition for Manufacturability Analysis, Proceedings of the 1994 ASME Computers in Engineering Conference, , USA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=821984
(Accessed December 7, 2023)