The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review
Thin-walled components are extensively utilized in the aviation, aerospace, shipping, and nuclear energy industries due to their advantages of being lightweight and easily integrated. With an increased design quality and complexity of structures, thin-walled components have rendered traditional offl...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/12/12/876 |
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| author | Gaoqun Liu Yufeng Wang Binda Huang Wenfeng Ding |
| author_facet | Gaoqun Liu Yufeng Wang Binda Huang Wenfeng Ding |
| author_sort | Gaoqun Liu |
| collection | DOAJ |
| description | Thin-walled components are extensively utilized in the aviation, aerospace, shipping, and nuclear energy industries due to their advantages of being lightweight and easily integrated. With an increased design quality and complexity of structures, thin-walled components have rendered traditional offline machining state prediction techniques inadequate for meeting the rising demands for machining quality. In recent years, advancements in intelligent manufacturing have led to the emergence of intelligent monitoring technologies that offer new solutions for enhancing the machining quality. This review categorizes technologies into online signal collection, state recognition, and intelligent decision-making, based on the implementation processes of intelligent monitoring. It summarizes the roles and current development status of various technologies within intelligent monitoring and outlines the existing challenges associated with each technology. Finally, the review discusses the challenges and future development trends of intelligent monitoring technology. |
| format | Article |
| id | doaj-art-351d18494e2f404a910e2f7e6a9f63df |
| institution | Kabale University |
| issn | 2075-1702 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj-art-351d18494e2f404a910e2f7e6a9f63df2024-12-27T14:37:02ZengMDPI AGMachines2075-17022024-12-01121287610.3390/machines12120876The Intelligent Monitoring Technology for Machining Thin-Walled Components: A ReviewGaoqun Liu0Yufeng Wang1Binda Huang2Wenfeng Ding3College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaAVIC Jincheng Nanjing Engineering Institute of Aircraft Systems, Nanjing 211106, ChinaCollege of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaThin-walled components are extensively utilized in the aviation, aerospace, shipping, and nuclear energy industries due to their advantages of being lightweight and easily integrated. With an increased design quality and complexity of structures, thin-walled components have rendered traditional offline machining state prediction techniques inadequate for meeting the rising demands for machining quality. In recent years, advancements in intelligent manufacturing have led to the emergence of intelligent monitoring technologies that offer new solutions for enhancing the machining quality. This review categorizes technologies into online signal collection, state recognition, and intelligent decision-making, based on the implementation processes of intelligent monitoring. It summarizes the roles and current development status of various technologies within intelligent monitoring and outlines the existing challenges associated with each technology. Finally, the review discusses the challenges and future development trends of intelligent monitoring technology.https://www.mdpi.com/2075-1702/12/12/876thin-walled componentsintelligent monitoringmachine learningintelligent decision |
| spellingShingle | Gaoqun Liu Yufeng Wang Binda Huang Wenfeng Ding The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review Machines thin-walled components intelligent monitoring machine learning intelligent decision |
| title | The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review |
| title_full | The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review |
| title_fullStr | The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review |
| title_full_unstemmed | The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review |
| title_short | The Intelligent Monitoring Technology for Machining Thin-Walled Components: A Review |
| title_sort | intelligent monitoring technology for machining thin walled components a review |
| topic | thin-walled components intelligent monitoring machine learning intelligent decision |
| url | https://www.mdpi.com/2075-1702/12/12/876 |
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