Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors
In view of the time-varying complexity of the heat source for the ball screw feed system, this paper proposes an adaptive inverse problem-solving method to estimate the time-varying heat source and temperature field of the feed system under working conditions. The feed system includes multiple heat...
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| Format: | Article |
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MDPI AG
2019-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/21/4694 |
| _version_ | 1811187306196893696 |
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| author | Zhenjun Li Zechen Lu Chunyu Zhao Fangchen Liu Ye Chen |
| author_facet | Zhenjun Li Zechen Lu Chunyu Zhao Fangchen Liu Ye Chen |
| author_sort | Zhenjun Li |
| collection | DOAJ |
| description | In view of the time-varying complexity of the heat source for the ball screw feed system, this paper proposes an adaptive inverse problem-solving method to estimate the time-varying heat source and temperature field of the feed system under working conditions. The feed system includes multiple heat sources, and the rapid change of the moving heat source increases the difficulty of its identification. This paper attempts to develop a numerical calculation method for identifying the heat source by combining the experiment with the optimization algorithm. Firstly, based on the theory of heat transfer, a new dynamic thermal network model was proposed. The temperature data signal and the position signal of the moving nut captured by the sensors are used as input to optimize the solution of the time-varying heat source. Then, based on the data obtained from the experiment, finite element software parametric programming was used to optimize the estimate of the heat source, and the results of the two heat source prediction methods are compared and verified. The other measured temperature points obtained by the experiment were used to compare and verify the inverse method of this numerical calculation, which illustrates the reliability and advantages of the dynamic thermal network combined with the genetic algorithm for the inverse method. The method based on the on-line monitoring of temperature sensors proposed in this paper has a strong application value for heat source and temperature field estimation of complex mechanical structures. |
| first_indexed | 2024-04-11T14:01:12Z |
| format | Article |
| id | doaj.art-1ce9c2cd2f4e418480e297399bb353e8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T14:01:12Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1ce9c2cd2f4e418480e297399bb353e82022-12-22T04:20:08ZengMDPI AGSensors1424-82202019-10-011921469410.3390/s19214694s19214694Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature SensorsZhenjun Li0Zechen Lu1Chunyu Zhao2Fangchen Liu3Ye Chen4School of Mechanical & Automation, Northeastern University, Shenyang 110819, ChinaSchool of Mechanical & Automation, Northeastern University, Shenyang 110819, ChinaSchool of Mechanical & Automation, Northeastern University, Shenyang 110819, ChinaSchool of Mechanical & Automation, Northeastern University, Shenyang 110819, ChinaSchool of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou 121001, ChinaIn view of the time-varying complexity of the heat source for the ball screw feed system, this paper proposes an adaptive inverse problem-solving method to estimate the time-varying heat source and temperature field of the feed system under working conditions. The feed system includes multiple heat sources, and the rapid change of the moving heat source increases the difficulty of its identification. This paper attempts to develop a numerical calculation method for identifying the heat source by combining the experiment with the optimization algorithm. Firstly, based on the theory of heat transfer, a new dynamic thermal network model was proposed. The temperature data signal and the position signal of the moving nut captured by the sensors are used as input to optimize the solution of the time-varying heat source. Then, based on the data obtained from the experiment, finite element software parametric programming was used to optimize the estimate of the heat source, and the results of the two heat source prediction methods are compared and verified. The other measured temperature points obtained by the experiment were used to compare and verify the inverse method of this numerical calculation, which illustrates the reliability and advantages of the dynamic thermal network combined with the genetic algorithm for the inverse method. The method based on the on-line monitoring of temperature sensors proposed in this paper has a strong application value for heat source and temperature field estimation of complex mechanical structures.https://www.mdpi.com/1424-8220/19/21/4694ball screw drive systemdynamic thermal network modelinverse methodoptimizing prediction analysistemperature sensor |
| spellingShingle | Zhenjun Li Zechen Lu Chunyu Zhao Fangchen Liu Ye Chen Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors Sensors ball screw drive system dynamic thermal network model inverse method optimizing prediction analysis temperature sensor |
| title | Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors |
| title_full | Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors |
| title_fullStr | Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors |
| title_full_unstemmed | Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors |
| title_short | Heat Source Forecast of Ball Screw Drive System Under Actual Working Conditions Based on On-Line Measurement of Temperature Sensors |
| title_sort | heat source forecast of ball screw drive system under actual working conditions based on on line measurement of temperature sensors |
| topic | ball screw drive system dynamic thermal network model inverse method optimizing prediction analysis temperature sensor |
| url | https://www.mdpi.com/1424-8220/19/21/4694 |
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