A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors
In sensor design, electromagnetic field numerical simulation techniques are widely used to investigate the working principles of sensors. These analyses help designers understand how sensors detect and respond to external signals during operation. One popular method for electromagnetic field computa...
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| Format: | Article |
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MDPI AG
2025-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/4/1115 |
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| author | Zihao Li Siguang An Guoping Zou Jianqiang Han |
| author_facet | Zihao Li Siguang An Guoping Zou Jianqiang Han |
| author_sort | Zihao Li |
| collection | DOAJ |
| description | In sensor design, electromagnetic field numerical simulation techniques are widely used to investigate the working principles of sensors. These analyses help designers understand how sensors detect and respond to external signals during operation. One popular method for electromagnetic field computation is the meshless radial point interpolation method (RPIM), where the number and distribution of nodes are critical to ensuring both accuracy and efficiency. However, traditional RPIM methods often face challenges in achieving stable and precise results, particularly in complex electromagnetic environments. In order to enhance the stability and accuracy of electromagnetic numerical calculations, a node generation and adaptive refinement algorithm for the meshless RPIM is proposed. The proposed approach includes an initial node-generation method designed to optimize the balance between computational accuracy and efficiency, as well as a dynamic error threshold and hybrid node refinement method to precisely identify and adaptively refine areas requiring additional nodes, ensuring high precision in critical regions. The proposed method was validated through its application to electrostatic fields and multi-media magnetic fields, demonstrating significant improvements in both stability and accuracy compared with conventional RPIM approaches. These findings highlight the potential of the proposed algorithm to enhance the reliability and precision of electromagnetic field simulations in sensor design and related applications. |
| format | Article |
| id | doaj-art-2ebe83c9b08845f4ad094e5b09d85bb7 |
| institution | DOAJ |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-2ebe83c9b08845f4ad094e5b09d85bb72025-08-20T03:12:12ZengMDPI AGSensors1424-82202025-02-01254111510.3390/s25041115A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of SensorsZihao Li0Siguang An1Guoping Zou2Jianqiang Han3College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaIn sensor design, electromagnetic field numerical simulation techniques are widely used to investigate the working principles of sensors. These analyses help designers understand how sensors detect and respond to external signals during operation. One popular method for electromagnetic field computation is the meshless radial point interpolation method (RPIM), where the number and distribution of nodes are critical to ensuring both accuracy and efficiency. However, traditional RPIM methods often face challenges in achieving stable and precise results, particularly in complex electromagnetic environments. In order to enhance the stability and accuracy of electromagnetic numerical calculations, a node generation and adaptive refinement algorithm for the meshless RPIM is proposed. The proposed approach includes an initial node-generation method designed to optimize the balance between computational accuracy and efficiency, as well as a dynamic error threshold and hybrid node refinement method to precisely identify and adaptively refine areas requiring additional nodes, ensuring high precision in critical regions. The proposed method was validated through its application to electrostatic fields and multi-media magnetic fields, demonstrating significant improvements in both stability and accuracy compared with conventional RPIM approaches. These findings highlight the potential of the proposed algorithm to enhance the reliability and precision of electromagnetic field simulations in sensor design and related applications.https://www.mdpi.com/1424-8220/25/4/1115adaptive algorithmsdomain decompositionradial basis functionmeshless method |
| spellingShingle | Zihao Li Siguang An Guoping Zou Jianqiang Han A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors Sensors adaptive algorithms domain decomposition radial basis function meshless method |
| title | A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors |
| title_full | A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors |
| title_fullStr | A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors |
| title_full_unstemmed | A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors |
| title_short | A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors |
| title_sort | node generation and refinement algorithm in meshless rpim for electromagnetic analysis of sensors |
| topic | adaptive algorithms domain decomposition radial basis function meshless method |
| url | https://www.mdpi.com/1424-8220/25/4/1115 |
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