共 50 条
- [1] Knowledge Representation for Process Planning of Mechanical Parts Based on Ontology [J]. DIGITAL MANUFACTURING & AUTOMATION III, PTS 1 AND 2, 2012, 190-191 : 101 - 105
- [2] A Cutting Parameter Optimization Method Based on Dynamic Machining Features for Complex Structural Parts [J]. 2016 IEEE 20TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2016, : 85 - 90
- [3] Collaborative manufacturing of aircraft structural parts based on machining features and software agents [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 87 (5-8): : 1421 - 1434
- [4] Collaborative manufacturing of aircraft structural parts based on machining features and software agents [J]. The International Journal of Advanced Manufacturing Technology, 2016, 87 : 1421 - 1434
- [5] Cutting tool condition recognition in NC machining process of structural parts based on machining features [J]. 9TH INTERNATIONAL CONFERENCE ON DIGITAL ENTERPRISE TECHNOLOGY - INTELLIGENT MANUFACTURING IN THE KNOWLEDGE ECONOMY ERA, 2016, 56 : 321 - 325
- [6] Real-time cutting tool state recognition approach based on machining features in NC machining process of complex structural parts [J]. The International Journal of Advanced Manufacturing Technology, 2018, 97 : 229 - 241
- [7] Real-time cutting tool state recognition approach based on machining features in NC machining process of complex structural parts [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 97 (1-4): : 229 - 241
- [8] Optimized Sequencing Method of Machining Cells for Complex Structural Parts based on Process [J]. Computer-Aided Design and Applications, 2023, 20 (03): : 414 - 426
- [9] A customizable process planning approach for rotational parts based on multi-level machining features and ontology [J]. The International Journal of Advanced Manufacturing Technology, 2020, 108 : 647 - 669
- [10] A customizable process planning approach for rotational parts based on multi-level machining features and ontology [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 108 (03): : 647 - 669