Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring System
This article discusses the issue of the joint use of neural network algorithms for data processing and deterministic mathematical models. The use of a new approach is proposed, to determine the discrepancy between data from a vibration monitoring system of the cutting process and the calculated data...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/22/7403 |
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| author | Lapshin Viktor Turkin Ilya Gvindzhiliya Valeriya Dudinov Ilya Gamaleev Denis |
| author_facet | Lapshin Viktor Turkin Ilya Gvindzhiliya Valeriya Dudinov Ilya Gamaleev Denis |
| author_sort | Lapshin Viktor |
| collection | DOAJ |
| description | This article discusses the issue of the joint use of neural network algorithms for data processing and deterministic mathematical models. The use of a new approach is proposed, to determine the discrepancy between data from a vibration monitoring system of the cutting process and the calculated data obtained by modeling mathematical models of the digital twin system of the cutting process. This approach is justified by the fact that some coordinates for the state of the cutting process cannot be measured, and the vibration signals measured by the vibration monitoring system (the vibration acceleration of the tip of the cutting tool) are subject to external disturbing influences. Both the experimental method and the Matlab 2022b simulation method were used as research methods. The experimental research method is based on the widespread use of modern analog vibration transducers, the signals from which undergo the process of digitalization and further processing in order to identify arrays of additional information required for virtual digital twin models. The results obtained allow us to formulate a new conceptual approach to the construction of systems for determining the degree of cutting tool wear, based on the joint use of computational virtual models of the digital twin system and data obtained from the vibration monitoring system of the cutting process. |
| format | Article |
| id | doaj-art-f9546ff77cdc444ab6c4c3cb6305b760 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-f9546ff77cdc444ab6c4c3cb6305b7602024-11-26T18:21:51ZengMDPI AGSensors1424-82202024-11-012422740310.3390/s24227403Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring SystemLapshin Viktor0Turkin Ilya1Gvindzhiliya Valeriya2Dudinov Ilya3Gamaleev Denis4Department of Automation of Production Processes, Don State Technical University, Gagarina Str. 1, Rostov-on-Don 344090, RussiaDepartment of Automation of Production Processes, Don State Technical University, Gagarina Str. 1, Rostov-on-Don 344090, RussiaDepartment of Automation of Production Processes, Don State Technical University, Gagarina Str. 1, Rostov-on-Don 344090, RussiaDepartment of Automation of Production Processes, Don State Technical University, Gagarina Str. 1, Rostov-on-Don 344090, RussiaDepartment of Automation of Production Processes, Don State Technical University, Gagarina Str. 1, Rostov-on-Don 344090, RussiaThis article discusses the issue of the joint use of neural network algorithms for data processing and deterministic mathematical models. The use of a new approach is proposed, to determine the discrepancy between data from a vibration monitoring system of the cutting process and the calculated data obtained by modeling mathematical models of the digital twin system of the cutting process. This approach is justified by the fact that some coordinates for the state of the cutting process cannot be measured, and the vibration signals measured by the vibration monitoring system (the vibration acceleration of the tip of the cutting tool) are subject to external disturbing influences. Both the experimental method and the Matlab 2022b simulation method were used as research methods. The experimental research method is based on the widespread use of modern analog vibration transducers, the signals from which undergo the process of digitalization and further processing in order to identify arrays of additional information required for virtual digital twin models. The results obtained allow us to formulate a new conceptual approach to the construction of systems for determining the degree of cutting tool wear, based on the joint use of computational virtual models of the digital twin system and data obtained from the vibration monitoring system of the cutting process.https://www.mdpi.com/1424-8220/24/22/7403virtual modelsdigital twinsneural networkscutting dynamicstool wear |
| spellingShingle | Lapshin Viktor Turkin Ilya Gvindzhiliya Valeriya Dudinov Ilya Gamaleev Denis Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring System Sensors virtual models digital twins neural networks cutting dynamics tool wear |
| title | Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring System |
| title_full | Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring System |
| title_fullStr | Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring System |
| title_full_unstemmed | Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring System |
| title_short | Development of a Conceptual Scheme for Controlling Tool Wear During Cutting, Based on the Interaction of Virtual Models of a Digital Twin and a Vibration Monitoring System |
| title_sort | development of a conceptual scheme for controlling tool wear during cutting based on the interaction of virtual models of a digital twin and a vibration monitoring system |
| topic | virtual models digital twins neural networks cutting dynamics tool wear |
| url | https://www.mdpi.com/1424-8220/24/22/7403 |
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