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Research Article

A twin data and knowledge-driven intelligent process planning framework of aviation parts

, &
Pages 5217-5234 | Received 23 Dec 2020, Accepted 30 Jun 2021, Published online: 19 Jul 2021

References

  • Adama, Diourté, Bugarin Florian, Bordreuil Cyril, and Segonds Stéphane. 2021. “Continuous Three-Dimensional Path Planning (CTPP) for Complex Thin Parts with Wire Arc Additive Manufacturing.” Additive Manufacturing 37: 101622. doi:10.1016/j.addma.2020.101622.
  • Armendia, Mikel, Frédéric Cugnon, Luke Berglind, Erdem Ozturk, Guillermo Gil, and Jaouher Selmi. 2019. “Evaluation of Machine Tool Digital Twin for Machining Operations in Industrial Environment.” Procedia CIRP 82: 236.
  • Bao, Jinsong, Dongsheng Guo, Jie Li, and Jie Zhang. 2019. “The Modelling and Operations for the Digital Twin in the Context of Manufacturing.” Enterprise Information Systems 13 (4): 534–556. doi:10.1080/17517575.2018.1526324.
  • Botkina, Darya, Mikael Hedlind, Bengt Olsson, Jannik Henser, and Thomas Lundholm. 2018. “Digital Twin of a Cutting Tool.” Procedia CIRP 72: 218.
  • Gao, Xin, Wenping Mou, and Peng Yu. 2016. “An Intelligent Process Planning Method Based on Feature-based History Machining Data for Aircraft Structural Parts.” Procedia CIRP 56: 585–589. doi:10.1016/j.procir.2016.10.115.
  • Kim, Samyeon, David W Rosen, Paul Witherell, and Hyonwoong Ko. 2018. “Linking Part Design to Process Planning by Design for Additive Manufacturing Ontology.” Proceedings of the 3rd International Conference on Progress in Additive Manufacturing, 308. doi:10.25341/D4HS3H.
  • Leng, Jiewu, Douxi Yan, Qiang Liu, Hao Zhang, Gege Zhao, Lijun Wei, Ding Zhang, Ailin Yu, and Xin Chen. 2019b. “Digital Twin-Driven Joint Optimisation of Packing and Storage Assignment in Large-Scale Automated High-Rise Warehouse Product-Service System.” International Journal of Computer Integrated Manufacturing 34 (3): 1–18. doi:10.1080/0951192X.2019.1667032.
  • Leng, Jiewu, Hao Zhang, Douxi Yan, Qiang Liu, Xin Chen, and Ding Zhang. 2019a. “Digital Twin-Driven Manufacturing Cyber-Physical System for Parallel Controlling of Smart Workshop.” Journal of Ambient Intelligence and Humanized Computing 10: 1155–1166. doi:10.1007/s12652-018-0881-5.
  • Leo Kumar, S.P. 2019. “Knowledge-Based Expert System in Manufacturing Planning: State-of-the-Art Review.” International Journal of Production Research 57 (15-16): 4766–4790. doi:10.1080/00207543.2018.1424372.
  • Li, Xiuzhen, Zhenyong Wu, Mark Goh, and Siqi Qiu. 2018. “Ontological Knowledge Integration and Sharing for Collaborative Product Development.” International Journal of Computer Integrated Manufacturing 31 (3): 275–288. doi:10.1080/0951192x.2017.1407876.
  • Lin, Qi, Yingfeng Zhang, Shangrui Yang, Shuaiyin Ma, Tongda Zhang, and Qinge Xiao. 2020. “A Self-Learning and Self-Optimizing Framework for the Fault Diagnosis Knowledge Base in a Workshop.” Robotics and Computer-Integrated Manufacturing 65: 101975. doi:10.1016/j.rcim.2020.101975.
  • Liu, Qiang, Jiewu Leng, Douxi Yan, Ding Zhang, Lijun Wei, Ailin Yu, Rongli Zhao, Hao Zhang, and Xin Chen. 2021. “Digital Twin-Based Designing of the Configuration, Motion, Control, and Optimization Model of a Flow-Type Smart Manufacturing System.” Journal of Manufacturing Systems 58 (0): 52–64. doi:10.1016/j.jmsy.2020.04.012.
  • Liu, Xiaojun, Zhonghua Ni, Jinfeng Liu, and Yalong Cheng. 2016. “Assembly Process Modeling Mechanism Based on the Product Hierarchy.” The International Journal of Advanced Manufacturing Technology 82 (1-4): 391–405. doi:10.1007/s00170-015-7372-z.
  • Liu, Xiaojun, Jialu Xing, Yalong Cheng, and Zhonghua Ni. 2017. “An Inspecting Method of 3D Dimensioning Completeness Based on the Recognition Of RBs.” Journal of Manufacturing Systems 42: 271–288. doi:10.1016/j.jmsy.2017.01.001.
  • Liu, JinFeng, Peng Zhao, Xuwen Jing, Xuwu Cao, Sushan Sheng, Honggen Zhou, Xiaojun Liu, and Feng Feng. 2021. “Dynamic Design Method of Digital Twin Process Model Driven by Knowledge-Evolution Machining Features.” International Journal of Production Research 2021: 1–19. doi:10.1080/00207543.2021.1887531.
  • Lynn, Roby, Tommy Tucker, Christopher Saldana, Mukul Sati, Jarek Rossignac, and Thomas Kurfess. 2018. “Realization of the 5-Axis Machine Tool Digital Twin Using Direct Servo Control from CAM.” MBE 2018: 1–5.
  • Mourtzis, Dimitris, Ekaterini Vlachou, Nikolaos Milas, Nikolaos Tapoglou, and Jorn Mehnen. 2019. “A Cloud-Based, Knowledge-Enriched Framework for Increasing Machining Efficiency Based FN Machine Tool Monitoring.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233 (1): 278–292. doi:10.1177/0954405417716727.
  • Olivieri, P., L. Birglen, X. Maldague, and I. Mantegh. 2014. “Coverage Path Planning for Eddy Current Inspection on Complex Aeronautical Parts.” Robotics and Computer-Integrated Manufacturing 30 (3): 305–314. doi:10.1016/j.rcim.2013.10.002.
  • Polini, Wilma, and Andrea Corrado. 2020. “Digital Twin of Composite Assembly Manufacturing Process.” International Journal of Production Research 58 (17): 5238–5252. doi:10.1080/00207543.2020.1714091.
  • Qi, Lei, Wang Hong, and Yuchuan Song. 2016. “Hybrid Knowledge Model of Process Planning and Its Green Extension.” Journal of Intelligent Manufacturing 27 (5): 975–990. doi:10.1007/s10845-014-0928-1.
  • Qi, Qinglin, and Fei Tao. 2018. “Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison.” IEEE Access 6: 3585–3593. doi:10.1109/access.2018.2793265.
  • Rose, Roland, Georg von Wichert, George Lo, and Kurt D. Bettenhausen. 2015. “About The Importance of Autonomy and Digital Twins for the Future of Manufacturing.” IFAC-PapersOnLine 48 (3): 572.
  • Shin, Seung-Jun, Jungyub Woo, Sudarsan Rachuri, andWonchul Seo. 2019. “An Energy-Efficient Process Planning System Using Machine-Monitoring Data: A Data Analytics Approach.” Computer-Aided Design 110: 92–109. doi:10.1016/j.cad.2018.12.009.
  • Tao, Fei, Fangyuan Sui, Ang Liu, Qinglin Qi, Meng Zhang, Boyang Song, Zirong Guo, Stephen C.-Y. Lu, and A. Y. C. Nee. 2019. “Digital Twin-Driven Product Design Framework.” International Journal of Production Research 57 (12): 3935–3953. doi:10.1080/00207543.2018.1443229.
  • Tao, Fei, and Meng Zhang. 2017. “Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing.” IEEE Access 5: 20418–20427. doi:10.1109/access.2017.2756069.
  • Urbina Coronado, Pedro Daniel, Roby Lynn, Wafa Louhichi, Mahmoud Parto, Ethan Wescoat, and Thomas Kurfess. 2018. “Part Data Integration in the Shop Floor Digital Twin: Mobile and Cloud Technologies to Enable a Manufacturing Execution System.” Journal of Manufacturing Systems 48: 25–33. doi:10.1016/j.jmsy.2018.02.002.
  • Wang, Wei, Yingguang Li, and Lingling Huang. 2018. “Rule and Branch-and-Bound Algorithm Based Sequencing of Machining Features for Process Planning of Complex Parts.” Journal of Intelligent Manufacturing 29 (6): 1329–1336. doi:10.1007/s10845-015-1181-y.
  • Wang, Jin, Yang Liu, Shan Ren, Chuang Wang, and Wenbo Wang. 2021. “Evolutionary Game Based Real-Time Scheduling for Energy-efficient Distributed and Flexible Job Shop.” Journal of Cleaner Production 293: 126093. doi:10.1016/j.jclepro.2021.126093.
  • Wang, Jinjiang, Lunkuan Ye, Robert X. Gao, Chen Li, and Laibin Zhang. 2019. “Digital Twin for Rotating Machinery Fault Diagnosis in Smart Manufacturing.” International Journal of Production Research 57 (12): 3920–3934. doi: 10.1080/00207543.2018.1552032.
  • Wen, Liang. 2016. “Study on High Efficiency Milling Process of Nickel-Based Superalloy Integrated Impeller.” Master thesis, Shanghai Jiao Tong University.
  • Xie, Yunpeng, Jianbin Tong, Yuqiang Fu, and Zhongqi Sheng. 2020. “Machining Scheme of Aviation Bearing Bracket Based on Additive and Subtractive Hybrid Manufacturing.” Journal of Mechanical Science and Technology 34 (9): 3775–3790. doi:10.1007/s12206-020-0829-5.
  • Ye, Yingxin, Tianliang Hu, Yan Yang, Wendan Zhu, and Chengrui Zhang. 2020. “A Knowledge Based Intelligent Process Planning Method for Controller of Computer Numerical Control Machine Tools.” Journal of Intelligent Manufacturing 31 (7): 1751–1767. doi:10.1007/s10845-018-1401-3.
  • Ye, Yingxin, Tianliang Hu, Chengrui Zhang, and Weichao Luo. 2018. “Design and Development of a CNC Machining Process Knowledge Base Using Cloud Technology.” The International Journal of Advanced Manufacturing Technology 94 (9-12): 3413–3425. doi:10.1007/s00170-016-9338-1.
  • Zhang, Chao, Guanghui Zhou, Jun He, Zhi Li, and Wei Cheng. 2019. “A Data- and Knowledge-Driven Framework for Digital Twin Manufacturing Cell.” Procedia CIRP. doi:10.1016/j.procir.2017.04.009.
  • Zhang, Chao, Guanghui Zhou, Junsheng Hu, and Jing Li. 2020. “Deep Learning-Enabled Intelligent Process Planning for Digital Twin Manufacturing Cell.” Knowledge-Based Systems 191: 105247. doi:10.1016/j.knosys.2019.105247.
  • Zhang, Chao, Guanghui Zhou, Qi Lu, and Fengtian Chang. 2017. “Graph Based Knowledge Reuse for Supporting Knowledge Driven Decision Making in New Product Development.” International Journal of Production Research 55 (0): 7187–7203. doi:10.1080/00207543.2017.1351643.
  • Zhao, Peng, Jinfeng Liu, Xuwen Jing, Mingming Tang, Sushan Sheng, Honggen Zhou, and Xiaojun Liu. 2020. “The Modeling and Using Strategy for the Digital Twin in Process Planning.” IEEE Access 8: 41229–41245. doi:10.1109/access.2020.2974241.
  • Zheng, Yu, Sen Yang, and Huanchong Cheng. 2019. “An Application Framework of Digital Twin and Its Case Study.” Journal of Ambient Intelligence and Humanized Computing 10 (3): 1141–1153. doi:10.1007/s12652-018-0911-3.
  • Zhou, Guanghui, Xiongjun Yang, Chao Zhang, Zhi Li, and Zhongdong Xiao. 2019. “Deep Learning Enabled Cutting Tool Selection for Special-Shaped Machining Features of Complex Products.” Advances in Engineering Software 133: 1–11. doi:10.1016/j.advengsoft.2019.04.007.
  • Zhou, Guanghui, Chao Zhang, Lu FengYi, and Zhang JunJie. 2020a. “Integrated Optimization of Cutting Parameters and Tool Path for Cavity Milling Considering Carbon Emissions.” J. Cleaner Production 250: 119454. doi:10.1016/i.jclepro.2019.119454.
  • Zhou, Guanghui, Chao Zhang, Zhi Li, Kai Ding, and Chuang Wang. 2020b. “Knowledge-Driven Digital Twin Manufacturing Cell Towards Intelligent Manufacturing.” International Journal of Production Research 58 (4): 1034–1051. doi:10.1080/00207543.2019.1607978.
  • Zhu, Wendan, Tianliang Hu, Weichao Luo, Yan Yang, and Chengrui Zhang. 2018. “A STEP-Based Machining Data Model for Autonomous Process Generation of Intelligent CNC Controller.” The International Journal of Advanced Manufacturing Technology 96 (1–4): 271–285. doi:10.1007/s00170-017-1554-9.

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