Authors
Yang Shi, Yicha Zhang, Kaishu Xia, Ramy Harik
Journal
Computer-Aided Design & Applications, 17(5), 861-899.
Abstract
Feature is an essential concept during design and manufacturing. It has universal characters for specific definitions of interest. Feature Recognition (FR) is a technique to identify and extract application-specific information from input models for downstream engineering activities. FR is a necessary and important component for the integration of Computer-Aided Design (CAD), Computer-Aided Manufacturing (CAM), Computer-Aided Engineering (CAE), and Computer-Aided Process Planning (CAPP). Decades of research work in this topic has developed numerous techniques such as rule-based, graph-based, volume decomposition, and artificial neural network-based systems. However, there still exist issues that hinder FR to become a practical engineering tool. This paper presents a critical literature review of these approaches.
Keywords
feature recognition, feature extraction, CAD/CAM
Citation
Yang Shi, Yicha Zhang, Kaishu Xia, & Ramy Harik. (2020). A Critical Review of Feature Recognition Techniques. Computer-Aided Design & Applications, 17(5), 861-899. doi:https://doi.org/10.14733/cadaps.2020.861-899.
Link: https://doi.org/10.14733/cadaps.2020.861-899
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