TY - JOUR
T1 - A survey of feature modeling methods
T2 - Historical evolution and new development
AU - Li, Lei
AU - Zheng, Y.
AU - Yang, Maolin
AU - Leng, J.
AU - Cheng, Zhengrong
AU - Xie, Y.
AU - Jiang, Pingyu
AU - Ma, Yongsheng
N1 - Publisher Copyright:
© 2019
PY - 2020/2
Y1 - 2020/2
N2 - Initially developed for geometric representation, feature modeling has been applied in product design and manufacturing with great success. With the growth of computer-aided engineering (CAE), computer-aided process planning (CAPP), computer-aided manufacturing (CAM), and other applications for product engineering, the definitions of features have been mostly application-driven. This survey briefly reviews feature modeling historical evolution first. Subsequently, various approaches to resolving the interoperability issues during product lifecycle management are reviewed. In view of the recent progress of emerging technologies, such as Internet of Things (IoT), big data, social manufacturing, and additive manufacturing (AM), the focus of this survey is on the state of the art application of features in the emerging research fields. The interactions among these trending techniques constitute the socio-cyber-physical system (SCPS)-based manufacturing which demands for feature interoperability across heterogeneous domains. Future efforts required to extend feature capability in SCPS-based manufacturing system modeling are discussed at the end of this survey.
AB - Initially developed for geometric representation, feature modeling has been applied in product design and manufacturing with great success. With the growth of computer-aided engineering (CAE), computer-aided process planning (CAPP), computer-aided manufacturing (CAM), and other applications for product engineering, the definitions of features have been mostly application-driven. This survey briefly reviews feature modeling historical evolution first. Subsequently, various approaches to resolving the interoperability issues during product lifecycle management are reviewed. In view of the recent progress of emerging technologies, such as Internet of Things (IoT), big data, social manufacturing, and additive manufacturing (AM), the focus of this survey is on the state of the art application of features in the emerging research fields. The interactions among these trending techniques constitute the socio-cyber-physical system (SCPS)-based manufacturing which demands for feature interoperability across heterogeneous domains. Future efforts required to extend feature capability in SCPS-based manufacturing system modeling are discussed at the end of this survey.
KW - Engineering informatics
KW - Feature interoperability
KW - Feature modeling
KW - Feature ontology
KW - Socio-cyber-physical system
UR - http://www.scopus.com/inward/record.url?scp=85070615848&partnerID=8YFLogxK
U2 - 10.1016/j.rcim.2019.101851
DO - 10.1016/j.rcim.2019.101851
M3 - Review article
AN - SCOPUS:85070615848
SN - 0736-5845
VL - 61
JO - Robotics and Computer-Integrated Manufacturing
JF - Robotics and Computer-Integrated Manufacturing
M1 - 101851
ER -