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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2020
عنوان انگلیسی مقاله:
A survey of feature modeling methods: Historical evolution and new development
ترجمه فارسی عنوان مقاله:
مرور روشهای مدل سازی ویژگی ها: تکامل تاریخی و توسعه جدید
منبع:
Sciencedirect - Elsevier - Robotics and Computer Integrated Manufacturing, 61 (2020) 101851: doi:10:1016/j:rcim:2019:101851
نویسنده:
Lei Lia,b,c,d, Yufan Zhengd, Maolin Yange, Jiewu Lengf, Zhengrong Chengd, Yanan Xieg, Pingyu Jiange, Yongsheng Mad
چکیده انگلیسی:
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.
Keywords: Feature modeling | Feature ontology | Feature interoperability | Engineering informatics | Socio-cyber-physical system
قیمت: رایگان
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