The complex thin-walled structure model is widely used in the design of automotive, aerospace and other products. The innovative design of complex thin-walled model plays an important role in improving the independent innovation capability of important manufacturing industries in China. Generally, it is necessary to simply the complex thin-walled model through the mid-surface extraction and generate the finite element mesh for rapid analysis and design iterations, so as to verify the effectiveness of the product design quickly. However, there are still some challenges, i.e., the low efficiency of simplification, the efficient reuse of simplification results and finite element mesh, which is a major bottleneck between the product design and analysis..The project aims to solve the core problem of the integration of design and analysis of complex thin-walled models. Firstly, the techniques including face group pairing, virtual segmentation and parameter mapping are adopted to achieve the robust mid-surface abstraction of complex thin-walled models. Secondly, the reusable mid-surface model can be realized by establishing the topological and feature mapping between the thin-walled model and its corresponding mid-surface model. Lastly, mid-surface model-driven quadrilateral mesh optimization and.editing are realized by identifying the difference between the feature parameterization changes of mid-surface model and the topological structure changes. The project research helps to efficiently realize the integration of design and analysis of complex thin-walled models, thereby shorting the product development cycle and enhancing the independent innovation capability of high-tech manufacturing.
复杂薄壁结构模型广泛应用于汽车覆盖件、飞机结构件等产品设计中,复杂薄壁件的创新设计对提高我国重要制造业的自主创新能力有着重要的作用。为了快速验证产品设计的有效性,需要对复杂薄壁件模型进行中面抽取的简化并生成有限元网格以进行快速分析和迭代。然而,过程中仍然存在简化效率低,简化结果不能重用,简化结果生成的有限元网格也无法重用等问题,是横梗在产品设计与分析之间的一大瓶颈。. 本项目将着力解决复杂薄壁件模型的设计与分析集成这一核心问题。通过面组对、虚拟分割、参数映射等技术,实现面向复杂薄壁件的鲁棒中面抽取;通过建立薄壁件与中面模型的拓扑和特征映射,实现中面模型的可重用;通过识别中面模型特征参数化变更和拓扑结构变更的不同,实现中面模型变动驱动的四边形网格局部优化与编辑。项目研究结果有助于高效实现复杂薄壁件模型的设计与分析集成,进而缩短产品的研发周期、提升创新设计能力。
薄壁结构广泛应用于航空航天结构件、汽车覆盖件等复杂产品中,随着复杂产品的设计造型越发复杂,进而导致薄壁结构生成有限元网格模型的时间也越来越长。对复杂薄壁结构模型进行中面抽取的简化是目前工业界最有有效的前处理方法之一,但是常见的中面抽取方法尚不能成熟鲁棒解决中面抽取问题。.本课题创新的实现了一种鲁棒的抽取拥有复杂曲面薄壁件模型的中面简化方法,通过模型自身特征语义的识别提供中面抽取结构的可重用性,最后结合人工智能算法、将复杂产品的仿真优化效率提高,实现设计、简化、网格生成、仿真分析、迭代优化的闭环工作。.对复杂薄壁结构模型的高效设计与优化集成,协助我国相关领域设计人员更好的进行产品设计,为自主创新的设计研发都有着重要的意义。
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数据更新时间:2023-05-31
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