A Digital Twin Modeling Method for the Full Lifecycle of Discrete Product
摘要
The digital twin (DT), as a dynamic intelligence system that organically combines virtual and realistic models and multiple sources of data, fully combines numerical models with real-world data to monitor the operational status of products and predict their lifespan. Therefore, a system modeling approach with high fidelity and timeliness is of great significance for DT models. However, most current DT modeling approaches focus on individual objects and individual aspects of a product, while being deficient in a full lifecycle and multi-object-oriented modeling approach, which is not conducive to the mining and utilization of data on the whole product. Given this challenge, a product-level DT modeling approach based on PLM/PDM theory is proposed in this paper. It combines property model, simulation model, process model, status model, quality model, and feedback model through a digital thread communication framework to collect and utilize product lifecycle data to achieve accurate control of all aspects of the product lifecycle. The product-level DT results are presented by a visualization platform that enables interaction between customers, designers, and fabricators under real-time monitoring of the product manufacturing process throughout the system. Finally, a test case of a wind energy generator was performed to validate the proposed product-level DT modeling approach. The results revealed that the proposed approach is effective and feasible.