定制化产品智能设计关键技术研究综述
A Research Review on the Key Technologies of Intelligent Design for Customized Products
大数据和信息物理系统(CPS)等技术的发展使人们对产品设计的需求增加。产品数字设计包括使用先进的数字技术完成产品设计过程，如几何建模、运动学和动态仿真、多学科耦合、虚拟装配、虚拟现实(VR)、多目标优化(MOO)以及人机交互。定制产品智能设计的关键技术包括：客户需求的描述与分析、客户基础的产品族设计(PFD)、定制产品的配置和模块化设计、定制产品的变型设计，以及产品智能设计的知识推送。定制产品智能设计的发展趋势包括定制产品的大数据驱动智能设计技术和定制的设计工具和应用。通过计算机的高精度数控机床设计，我们验证了该方法的有效性。
The development of technologies such as big data and cyber-physical systems (CPSs) has increased the demand for product design. Product digital design involves completing the product design process using advanced digital technologies such as geometry modeling, kinematic and dynamic simulation, multi-disciplinary coupling, virtual assembly, virtual reality (VR), multi-objective optimization (MOO), and human-computer interaction. The key technologies of intelligent design for customized products include: a description and analysis of customer requirements (CRs), product family design (PFD) for the customer base, configuration and modular design for customized products, variant design for customized products, and a knowledge push for product intelligent design. The development trends in intelligent design for customized products include big-data-driven intelligent design technology for customized products and customized design tools and applications. The proposed method is verified by the design of precision computer numerical control (CNC) machine tools.
定制化产品 / 用户需求 / 变形设计 / 智能设计 / 知识推送
Customized products / Customer requirements / Variant design / Intelligent design / Knowledge push
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