Advanced Feature Semantics Modeling Methodology and Technology Development in a Smart Product and Process Engineering Regime

智能产品和过程工程体系中的高级特征语义建模方法和技术开发

• 批准号: RGPIN-2020-03956
• 负责人: Ma, Yongsheng
• 金额: $ 1.97万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=739588
• 关键词: Advanced; Feature; Semantics; Modeling; Methodology

This application proposes a continued long term research program to further advance the unified feature theory established by the applicant so far. The objective is to develop a core engineering informatics technology so that it can systematically support serious industrial software package development. Essentially, the applicant's team will demonstrate the functionality for a knowledge-rich future generation design and manufacturing information system with a set of prototype modules in a coherent and generic framework. The challenging core mechanism problems addressed are complex surface feature modeling, multi-physics manufacturing process optimization and advanced material design optimization. First, feature-based surface modeling embedded with advanced geometry processing methods, will realize rapid complex and precise surface feature creation, modification and manipulation in product modeling and further deep processing, such as mesh generation in mechanical dynamics analyses. The significant applications are in those industries where generative parametric design of complex surface product or component bodies are constantly required in a compressed time frame. Second, a digital-twin method for complex manufacturing process modeling under the Industry 4.0 framework is to be developed. Physics phenomena are to be represented as a series of interaction features with driving parameters. The cyclic evolving behaviors or performance of designed processes are to be comprehensively represented and managed by a generic, flexible, and scalable method in a coherent system across companies and industries. Third, further investigation will be carried out on computational and function-driven material topology design and optimization for non-traditional material structures with varying gradient and composite constraints. The outcome will offer self-defining material topological features that support customized material requirements from product and process engineering. The targeted applications are in aerospace, energy, construction and manufacturing industries in Canada. High quality personnel training and publishing high quality papers are planned. Students will develop pilot algorithms and prototype modules with the application prospects for industry. Eventually, industry can enhance product innovation and competitiveness on a significant scale attributing to knowledge reuse, engineering method adoption, information sharing, multi-disciplinary collaboration as well as engineering lifecycle support. Technically, this research proposal supports "phenomena-engineering-product-process-material" informatics modeling cycle with open interoperability and user compatibility. The outcome algorithms, systematic modular architecture and semantic models will be useful for new generation engineering knowledge processing technology that can support the lifecycle of virtual product development and manufacturing processes with innovative new materials.

本申请提出了一项持续的长期研究计划，以进一步推进申请人迄今为止建立的统一特征理论。其目标是开发一种核心工程信息技术，使其能够系统地支持严重的工业软件包开发。从本质上讲，申请人的团队将展示一个知识丰富的未来一代设计和制造信息系统的功能，在一个连贯和通用的框架中的一组原型模块。解决的具有挑战性的核心机制问题是复杂的表面特征建模，多物理场制造工艺优化和先进的材料设计优化。首先，基于特征的曲面造型技术与先进的几何处理方法相结合，将实现产品造型中复杂曲面特征的快速、精确创建、修改和操作，以及进一步的深加工，如机械动力学分析中的网格生成。重要的应用是在那些行业中，复杂的表面产品或组件机构的生成参数化设计不断需要在压缩的时间框架。 第二，在工业4.0框架下开发了一种用于复杂制造过程建模的数字孪生方法。物理现象被描述为一系列具有驱动参数的相互作用特征。设计过程的循环演变行为或性能将在跨公司和行业的连贯系统中通过通用，灵活和可扩展的方法进行全面表示和管理。 第三，将进一步研究计算和功能驱动的材料拓扑设计和优化的非传统材料结构与变化的梯度和复合约束。其成果将提供自定义的材料拓扑特征，支持产品和工艺工程的定制材料要求。目标应用是加拿大的航空航天、能源、建筑和制造业。高质量的人才培养和出版高质量的论文计划。学生将开发具有工业应用前景的试验算法和原型模块。通过知识重用、工程方法的采用、信息共享、多学科协作以及工程生命周期支持，工业可以显著提高产品创新能力和竞争力。 在技术上，该研究方案支持“现象-工程-产品-工艺-材料”信息学建模循环，具有开放的互操作性和用户兼容性。结果算法，系统的模块化架构和语义模型将是有用的新一代工程知识处理技术，可以支持虚拟产品开发和制造过程的生命周期与创新的新材料。