Mass classification method of laminated elastomer based on k-medoids algorithm

Li Meng; Yunpeng Gu; Jiangshan Zhou; Chuang Chang; Chaochao Li; Qiuwei Hou

doi:10.1117/12.3014741

4 March 2024 Mass classification method of laminated elastomer based on k-medoids algorithm

Li Meng, Yunpeng Gu, Jiangshan Zhou, Chuang Chang, Chaochao Li, Qiuwei Hou

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129813Z (2024) https://doi.org/10.1117/12.3014741
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

From the point of view of product quality, considering the performance characteristics of laminated elastomers, this paper proposes a classification method for laminated elastomers based on the K-medoids algorithm. In addition, the author also analyzed and verified the feasibility and beneficial effects of this method. The analysis results of this paper show that the method of mass classification of laminated elastomers proposed in this paper is feasible. Moreover, according to the classification results of this method, assembling the elastic element group can further improve its performance of the elastic element group. When the elastic element group completes the same action, its required force decreases significantly and its bearing capacity further increases.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Li Meng, Yunpeng Gu, Jiangshan Zhou, Chuang Chang, Chaochao Li, and Qiuwei Hou "Mass classification method of laminated elastomer based on k-medoids algorithm", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129813Z (4 March 2024); https://doi.org/10.1117/12.3014741

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