Digital Twin (DT) technology, as one of the top ten strategic technology trends for 2020, has received widespread attentions and gradually being used in manufacturing system. However, for the implementation strategy of these applications, most of the current researches are focused on the digital aspect (data processing, algorithm application research, etc.), few researches have been done on the physical entity aspect to guide the design of deployment scheme, which is very important for the DT implementation effect. Motivated by this need, the implementation strategy of physical entity for manufacturing system DT is studied in this paper. This strategy firstly performs the application-oriented requirements analysis of physical entity for manufacturing system DT, and then an optimal requirements deployment scheme with Axiomatic Design (AD) theory is researched. With this effort, the implementation strategy of the application from the top level is clarified, and the implementation scheme can be more scientific, giving full play to the advantages of DT technology to solve the specific application problems of physical entities. A case study for DT based Computer Numerical Control Machine Tools (CNCMT) cutting tool life prediction is carried out to show the implementation flow of the proposed strategy, and its operability and effectiveness is verified.

数字孪生（DT）技术作为2020年十大战略技术趋势之一，受到广泛关注并逐渐应用于制造系统。然而，对于这些应用的实现策略，目前的研究大多集中在数字方面（数据处理、算法应用研究等），很少在物理实体方面进行研究来指导部署方案的设计，这对DT实现效果非常重要。受此需求驱动，本文研究了制造系统DT的物理实体实现策略。该策略首先对制造系统DT进行物理实体的面向应用的需求分析，然后研究了基于公理化设计（AD）理论的最优需求部署方案。通过这种努力，从顶层明确了应用的实现策略，实现方案可以更加科学，充分发挥DT技术的优势，解决物理实体的具体应用问题。以基于DT的计算机数控机床（CNCMT）刀具寿命预测为例，展示了该策略的实施流程，并验证了其可操作性和有效性。充分发挥DT技术的优势，解决物理实体的具体应用问题。以基于DT的计算机数控机床（CNCMT）刀具寿命预测为例，展示了该策略的实施流程，并验证了其可操作性和有效性。充分发挥DT技术的优势，解决物理实体的具体应用问题。以基于DT的计算机数控机床（CNCMT）刀具寿命预测为例，展示了该策略的实施流程，并验证了其可操作性和有效性。