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

本申请提出了一个持续的长期研究计划，以进一步推进申请者到目前为止建立的统一特征理论。其目标是开发一项核心工程信息学技术，以便它能够系统地支持重要的工业软件包开发。基本上，申请者的团队将在一个连贯和通用的框架中用一组原型模块演示一个知识丰富的下一代设计和制造信息系统的功能。具有挑战性的核心机构问题是复杂曲面特征建模、多物理制造过程优化和先进材料设计优化。 首先，基于特征的曲面造型嵌入了先进的几何处理方法，将实现产品造型中复杂而精确的曲面特征的快速创建、修改和操纵，以及机械动力学分析中的进一步深加工，如网格生成。在复杂曲面产品或零件实体的创成式参数设计中，其重要的应用是在压缩时间范围内不断地要求。 其次，开发了在Industries 4.0框架下的复杂制造过程建模的数字孪生方法。物理现象被表示为一系列与驱动参数相互作用的特征。在跨公司和行业的连贯系统中，应使用通用、灵活且可扩展的方法来全面表示和管理设计流程的循环演变行为或性能。 第三，对具有变梯度和复合材料约束的非传统材料结构的计算和功能驱动的材料拓扑设计和优化进行了进一步的研究。结果将提供自定义材料拓扑特征，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、建筑和制造行业。计划培养高素质的人才，发表高质量的论文。学生将开发具有工业应用前景的试点算法和原型模块。最终，行业可以通过知识重用、工程方法采用、信息共享、多学科协作以及工程生命周期支持，在很大程度上提高产品创新和竞争力。 该研究方案在技术上支持“phenomena-engineering-product-process-material”信息学建模周期，具有开放的互操作性和用户兼容性。该成果算法、系统的模块化体系结构和语义模型将为新一代工程知识处理技术提供有用的支持，该技术能够支持具有创新的新材料的虚拟产品开发和制造过程的生命周期。

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.