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] |
| Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 182191417 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on intelligent analogy design method of cylindrical gear metal powder injection molding process based on knowledge-driven. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kong%2C+Yan%22">Kong, Yan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yin%2C+Zhiqin%22">Yin, Zhiqin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xilei%22">Zhang, Xilei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhibing%22">Zhang, Zhibing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zhangzb@hust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Yuqi%22">Liu, Yuqi</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. Jan2025, Vol. 136 Issue 3, p1681-1702. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Powder+injection+molding%22">Powder injection molding</searchLink><br /><searchLink fieldCode="DE" term="%22Injection+molding+of+metals%22">Injection molding of metals</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+identification%22">Automatic identification</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00170-024-14891-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1681 Subjects: – SubjectFull: Powder injection molding Type: general – SubjectFull: Injection molding of metals Type: general – SubjectFull: Automatic identification Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Image processing Type: general Titles: – TitleFull: Research on intelligent analogy design method of cylindrical gear metal powder injection molding process based on knowledge-driven. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kong, Yan – PersonEntity: Name: NameFull: Yin, Zhiqin – PersonEntity: Name: NameFull: Zhang, Xilei – PersonEntity: Name: NameFull: Zhang, Zhibing – PersonEntity: Name: NameFull: Liu, Yuqi IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 01 Text: Jan2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02683768 Numbering: – Type: volume Value: 136 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Advanced Manufacturing Technology Type: main |
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