期刊文献+

基于知识与CAX智能集成技术的收口工艺设计优化

Knowledge-based and CAX intelligent integration technology in shell nosing design and optimization
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摘要 收口工艺成形复杂,通常要对工艺设计进行CAE分析并根据分析结果对设计进行修改。采用基于知识与CAX(计算机辅助技术)智能集成技术,能较大的提高数值模拟的智能化水平,减少数值模拟软件对用户的要求。通过智能向导,模拟案例模板等技术将模拟参数选择、有限元模型确立等过程智能化,指导和帮助设计人员准确迅速地将收口工艺的设计从CAD开发环境转换到CAE分析环境中,并对有限元分析结果智能分析,利用节点回溯算法将CAE结果反映到CAD模型上,从而指导收口工艺的再设计过程。文章以自主开发的收口工艺设计优化系统为背景,通过实际案例,对基于知识与CAX智能集成的优化技术进行了阐述,实现了CAD/CAE的无缝集成,提高了收口工艺设计的质量和效率。 The process of shell nosing is complex, so the design of shell nosing usually needs to be analyzed by CAE, and has to be redesigned based on the result of CAE. The knowledge-based and CAX intelligent integration technology can improve the intelligence of FEM simulation and decrease the requirement of the designers. By the intelligent guide and case template, the process of selecting simulation parameters and FE modeling will be more convenient. The process of translating shell nosing design from CAD to CAE will be easier and faster. Then the FEM simulation result will be analyzed and feedbacked to the CAD redesign step by node-tracing algorithnx Based on the in-house shell nosing intelligent design and optimization system, a selected case was optimized to demonstrate the functionalities of the developed toolkit. It shows that seamless integration of CAD/CAE was achieved, and the quality and efficiency of the shell nosing design were improved.
出处 《塑性工程学报》 EI CAS CSCD 北大核心 2008年第3期81-85,共5页 Journal of Plasticity Engineering
基金 国防基础科研重点项目(K1000020807)
关键词 收口 知识 CAX集成 设计优化 shell nosing knowledge-based CAX integration design and optimization
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