A multi-dimensional evolution modeling method for digital twin process model

Abstract

Digital twin, visually monitor the dynamic evolution process of part cutting in a digital way, which has attracted widespread attention in smart manufacturing. Under this background, creating a high fidelity and evolvable virtual model has become the key to putting digital twin into practice in the manufacturing field. However, the 3D process model pays scant attention on the dynamically machining process, multi-dimensional evolutionary machining feature, and not even the coupling machining semantics. How to realize the evolution process model creation from the perspective of semantics dimension, time dimension, and feature dimension, an evolutionary concurrent modeling method is proposed based on the process knowledge and machining feature. Firstly, the geometric evolution process of typical features is analyzed, and the association mechanism between processing semantics and evolution features is constructed. Secondly, the mathematical model of the evolution feature is constructed based on the part processing information, and the creation method of processing semantics-driven evolutionary feature is proposed. Thirdly, the association mechanism of "machining semantics-process parameters-geometric features" is built, and the dynamic evolution process model which achieve synchronous evolution with the processing is created based on machining semantics. Finally, a case study is carried out with typical processing feature. The results show that the multi-dimensional evolution modeling of the digital twin process model can realize the synchronous visual monitoring and simulation of product processing. The correlation based on semantic features can improve the efficiency and quality of process model construction and provide solutions for dynamic analysis and decision-making of smart process design.