Process planning is the core of guiding process production and one of the most critical parts to realize intelligent manufacturing of products. In order to realize the monitoring, simulation, prediction and control of the physical space in the intelligent manufacturing mode, the digital twin technology is used to guide the process planning. This research describes a modeling method of digital twin process model (DTPM) for manufacturing process and the contents of DT data, discusses the acquisition method of real-time data and the management method of simulation data. Aiming at the data fusion between physical space and virtual space, a hierarchical model and mapping strategy for multi-source heterogeneous data in machining process are proposed to generate the DT data. Finally, the guidance and the visualization function in process planning of DTPM is analyzed, and the effectiveness of this method is verified by choosing the design process of a key component in a marine diesel engine.

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Model-based definition (MBD) carries out a technological innovation for global manufacturing, application of MBD technology plays an important supporting in process design, product manufacturing and other development activities, rapid creation of MBD models have become a key to reduce time and cost for enterprises. However, interactive dimensioning method has severely hampered the efficiency of MBD model creation. This paper mainly studies the dimensions intelligent marking method based on the predefined features to solve the rapid modeling problem of MBD model. Firstly, the expression model of dimensions metadata is established based on the feature identifier. Secondly, by establishing an association mechanism between the dimensions and the predefined feature, the “model-feature-dimensioning” association model is formed. Thirdly, through analysis of the dimensioning type, the intelligent dimensioning algorithm process is determined. Moreover, the completeness check of the dimensions is guaranteed during the marking process. Finally, taking the connecting rod and crankshaft of marine diesel as the research object, the effectiveness of this method is verified.