Development of Complex Feature Extraction System from Prismatic Parts Using Hybrid Algorithms

Abstract

AbstractIn the current scenario most of the industries want to produce superior quality products with less production time and manufacturing cost to full fill the customer needs. The integration of computer-aided design (CAD) and computer-aided manufacturing (CAM) attain the industry's needs. However, the integration of CAD and CAM is most difficult task and facing lot of challenges. Feature recognition (FR) is the key link between integrate CAD and CAM and overcome the issues present in it. This paper presents a development of complex feature extraction system to extract different features like slant edges, bends, fillets, and chamfers from prismatic parts. A hybrid automatic feature recognition algorithm (HAFRA) combination of milling feature extraction algorithm (MFEA) and cylindrical feature extraction algorithm (CFEA) is proposed to identify the complex features using STEP file and then validation of the algorithm is done through case study. The developed hybrid automatic feature extraction system is well suited to extract the complex features from prismatic parts and thereby improve the downstream applications like process planning, CAPP, CAE, CAM, CAI, etc.KeywordsFRCADCAMFeaturesSTEP file and hybrid algorithm