Research on intelligent analogy design method of cylindrical gear metal powder injection molding process based on knowledge-driven.
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| Title: | Research on intelligent analogy design method of cylindrical gear metal powder injection molding process based on knowledge-driven. |
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| Authors: | Kong, Yan1 (AUTHOR), Yin, Zhiqin2 (AUTHOR), Zhang, Xilei1 (AUTHOR), Zhang, Zhibing1 (AUTHOR) zhangzb@hust.edu.cn, Liu, Yuqi1 (AUTHOR) |
| Source: | International Journal of Advanced Manufacturing Technology. Jan2025, Vol. 136 Issue 3, p1681-1702. 22p. |
| Subjects: | Powder injection molding, Injection molding of metals, Automatic identification, Artificial intelligence, Image processing |
| Abstract: | The metal powder injection molding (MIM) process for gears is complex, and the current process design largely depends on the experience of designers, which significantly impacts product development cycles and forming quality. To address this issue, this paper proposes an intelligent analogy design method of cylindrical gear metal powder injection molding process based on knowledge-driven. The method includes constructing a knowledge base refined to the component level, automatic recognition, intelligent retrieval, and drive design. By defining partition templates for the gear and employing automatic recognition algorithms, the gear is digitized. Subsequently, the most similar gear part is searched for in the knowledge base, and the forming process of the target gear is driven and designed based on the mature process of the similar gear and component-level knowledge, enabling knowledge reuse and knowledge-driven design. Finally, an automatic MIM gear process design system was implemented on the NX platform and applied in two MIM product manufacturing companies. Case studies and industrial applications have demonstrated the effectiveness of the system, with recognition and retrieval efficiency improving by over 98% and the number of trial moldings reduced by 75%. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | The metal powder injection molding (MIM) process for gears is complex, and the current process design largely depends on the experience of designers, which significantly impacts product development cycles and forming quality. To address this issue, this paper proposes an intelligent analogy design method of cylindrical gear metal powder injection molding process based on knowledge-driven. The method includes constructing a knowledge base refined to the component level, automatic recognition, intelligent retrieval, and drive design. By defining partition templates for the gear and employing automatic recognition algorithms, the gear is digitized. Subsequently, the most similar gear part is searched for in the knowledge base, and the forming process of the target gear is driven and designed based on the mature process of the similar gear and component-level knowledge, enabling knowledge reuse and knowledge-driven design. Finally, an automatic MIM gear process design system was implemented on the NX platform and applied in two MIM product manufacturing companies. Case studies and industrial applications have demonstrated the effectiveness of the system, with recognition and retrieval efficiency improving by over 98% and the number of trial moldings reduced by 75%. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 02683768 |
| DOI: | 10.1007/s00170-024-14891-z |
