Xin Yupeng, Chen Yiwen, Li Wenhui, Li Xiuhong, Wu Fengfeng
College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
College of Aeronautics and Astronautics, Taiyuan University of Technology, Taiyuan 030024, China.
Micromachines (Basel). 2022 Apr 15;13(4):620. doi: 10.3390/mi13040620.
Simulation technology is widely used in computer-aided process planning (CAPP). The part machining process is simulated in the virtual world, which can predict manufacturing errors and optimize the process plan. Simulation accuracy is the guarantee of process decision-making and optimization. This article focuses on the use of digital twin technology to build a high-fidelity process model, taking the advantage of the integration of multiple systems, in order to achieve the dynamic association of real-time manufacturing data and process models. Making use of the CAPP/MES systems, the surface inspection data of the part is fed back to the CAPP system and associated with the digital twin process model. The wavelet transform method is used to reduce the noise of the high-frequency signal of the detection data, and the signal-to-noise ratio (SNR) is calculated to verify the noise reduction effect. The surface topography, after noise reduction, was reconstructed in Matlab. On this basis, the Poisson reconstruction algorithm is used to reconstruct the high-fidelity process model for the refined simulation of the subsequent processes. Finally, by comparing the two sets of simulation experiments with the real machining results, we found that the simulation results, based on the digital twin model, are more accurate than the traditional simulation method by 58%.
仿真技术在计算机辅助工艺规划（CAPP）中得到了广泛应用。在虚拟世界中对零件加工过程进行仿真，可预测制造误差并优化工艺规划。仿真精度是工艺决策和优化的保障。本文重点利用数字孪生技术构建高保真工艺模型，借助多系统集成的优势，实现实时制造数据与工艺模型的动态关联。利用CAPP/MES系统，将零件的表面检测数据反馈至CAPP系统，并与数字孪生工艺模型相关联。采用小波变换方法降低检测数据高频信号的噪声，并计算信噪比（SNR）以验证降噪效果。降噪后的表面形貌在Matlab中进行重构。在此基础上，运用泊松重建算法重构高保真工艺模型，用于后续工艺的精细仿真。最后，通过将两组仿真实验与实际加工结果进行对比，发现基于数字孪生模型的仿真结果比传统仿真方法的精度高出58%。
