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16 June 2023 Research on CBR-based intelligent decision-making method for final heat treatment process of new energy heavy truck gear
Xiuxu Zhao, Wenlu Li, Aojie Zhuang, Chenghui Zhu, Jiao Li
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Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127021E (2023) https://doi.org/10.1117/12.2679641
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China
Abstract
In order to ensure that the center and surface of the new energy heavy truck gear can meet different performance requirements, the final heat treatment process is carburization and low temperature tempering after quenching, which involves the determination of many process parameters. At present, these parameters are mainly determined manually, but the trial and error period is too long to ensure the effect. In order to solve this problem, this study proposes an intelligent decision-making method. On the basis of accurately describing the local similarity of process characteristic parameters, information entropy is introduced to express the impact of process characteristic parameters on decision-making, and entropy weight method is used to objectively weight process characteristic parameters. Then, the global similarity of process characteristic parameters is determined according to their local similarity and weight. The practical application shows that this method can realize the intelligent decision-making of the final heat treatment process parameters of new energy heavy truck gears.
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Xiuxu Zhao, Wenlu Li, Aojie Zhuang, Chenghui Zhu, and Jiao Li "Research on CBR-based intelligent decision-making method for final heat treatment process of new energy heavy truck gear", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127021E (16 June 2023); https://doi.org/10.1117/12.2679641
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KEYWORDS
Heat treatments
Decision making
Databases
Carbon
Diffusion
Quenching
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