Abstract: To mitigate the complexity during product design caused by inconformity between reality and ideal design process,a digital twin-based product design process and the design effort prediction method was proposed.A product design digital twin system in five dimensions was constructed.The product design digital twin in virtual space was specifically defined,which included functional digital twin,designer digital twin and design activity digital twin.From a knowledge perspective,the prediction approach for product design effort and the propagation analysis approach for function changes were proposed,which was able to provide lean service for the management of complexity during product design.A case study of system design of a cube satellite-based radio aurora explorer mission showed that the proposed method could measure,predict and manage the complexity during product design effectively.

Key words: digital twin, product design, information modeling, design effort prediction

摘要： 为解决由于实际产品设计过程和理想的仿真过程状态不一致而导致的产品设计复杂性预测不准确的问题,研究了基于数字孪生的产品设计过程及其工作量预测方法。构建了产品设计数字孪生系统五维结构模型。详细定义了虚拟空间的产品设计数字孪生模型,包括功能数字孪生模型、设计师数字孪生模型和设计活动数字孪生模型。从知识的角度出发,提出了产品设计工作量预测和功能变更传播分析方法,为产品设计复杂性管理提供了精准服务。最后,以微小卫星无线极光探测任务的系统设计为例证明了,通过所构建的产品设计数字孪生模型和系统服务,能够有效评估、预测和管理设计过程的复杂性。

关键词: 数字孪生, 产品设计, 信息模型, 设计工作量预测