{"title":"知识驱动的增材制造综合设计支持工具","authors":"Claudius Ellsel, Rainer Stark","doi":"10.1017/pds.2024.177","DOIUrl":null,"url":null,"abstract":"Increasing adoption of additive manufacturing (AM) makes software support for design for additive manufacturing (DfAM) more relevant. This paper presents a novel, knowledge-driven design support tool for AM that leverages a central knowledge base to provide extensible and powerful DfAM support early in the development process. The approach was implemented using Python for the knowledge base and as a plugin for Siemens NX. It offers automated design checks, optimizations, and further information through an integrated Wiki. Evaluation confirms the feasibility and benefits of the approach.","PeriodicalId":489438,"journal":{"name":"Proceedings of the Design Society","volume":"9 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A knowledge-driven, integrated design support tool for additive manufacturing\",\"authors\":\"Claudius Ellsel, Rainer Stark\",\"doi\":\"10.1017/pds.2024.177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Increasing adoption of additive manufacturing (AM) makes software support for design for additive manufacturing (DfAM) more relevant. This paper presents a novel, knowledge-driven design support tool for AM that leverages a central knowledge base to provide extensible and powerful DfAM support early in the development process. The approach was implemented using Python for the knowledge base and as a plugin for Siemens NX. It offers automated design checks, optimizations, and further information through an integrated Wiki. Evaluation confirms the feasibility and benefits of the approach.\",\"PeriodicalId\":489438,\"journal\":{\"name\":\"Proceedings of the Design Society\",\"volume\":\"9 4\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Design Society\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.1017/pds.2024.177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Design Society","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.1017/pds.2024.177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
增材制造（AM）的应用日益广泛，使得为增材制造设计（DfAM）提供软件支持变得更加重要。本文介绍了一种新颖的知识驱动型增材制造设计支持工具，该工具利用中央知识库在开发流程的早期提供可扩展且功能强大的增材制造设计支持。该方法采用 Python 作为知识库，并作为西门子 NX 的插件。它通过集成 Wiki 提供自动设计检查、优化和更多信息。评估证实了该方法的可行性和优点。
A knowledge-driven, integrated design support tool for additive manufacturing
Increasing adoption of additive manufacturing (AM) makes software support for design for additive manufacturing (DfAM) more relevant. This paper presents a novel, knowledge-driven design support tool for AM that leverages a central knowledge base to provide extensible and powerful DfAM support early in the development process. The approach was implemented using Python for the knowledge base and as a plugin for Siemens NX. It offers automated design checks, optimizations, and further information through an integrated Wiki. Evaluation confirms the feasibility and benefits of the approach.
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