Automatic feature recognition of regular features for symmetrical and non-symmetrical cylinder part using volume decomposition method

Abstract

Feature recognition of CAD model in computer aided process planning (CAPP) is the main element to be resolved to automate process planning. Few studies of volume decomposition in recognizing features of cylindrical part model show lack of comprehensive recognition of individual features for cylindrical part in concession with uniform thickness of the delta volume. This paper focuses on individual features recognition of symmetrical and non-symmetrical cylindrical parts. Symmetrical part model with axisymmetric features including internal and external features were recognized to differentiate features that are suitable for turning or those suitable for milling operations. External features body volume will be decomposed in terms of finishing and roughing operations. Volumes of generated bodies were calculated and compared with manual overall delta volume (ODVmanual). The developed algorithm was tested for reliability with respect to time. The results show less than 0.01% of error in comparison of algorithm overall delta volume, (ODV) and ODVmanual.