Reconfigured lightweight model design method for DT-based mechatronics equipment
Reconfigured lightweight model design method for DT-based mechatronics equipment
复制标题
基于DT的机电一体化装备重构轻量化模型设计方法
DOI：
10.1007/s00170-022-10707-0
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发表时间：
2022-12
期刊：
影响因子：
--
通讯作者：
Songhua Ma
中科院分区：
文献类型：
--
作者：
Yongli Wei;Tianliang Hu;Pengjun Yue;Xin Wang;Songhua Ma
Digital twin (DT) technology, as one of the top strategic technology trends for 2020, has received widespread attention and has gradually been widely used in the smart manufacturing field. DT-based mechatronics equipment emphasizes the timeliness of online simulation decision-making and the promptness of model response. However, the established DT model covering all elements of mechatronics equipment involves multi-domain, multi-scale, and multi-dimensional. If this model is directly used for simulation analysis of specific applications, it will make the solution tedious and complicated and bring a waste of computational resources. Motivated by this need, an application-oriented reconfigured lightweight DT model design method for mechatronics equipment is studied in this paper. The method starts with an application-oriented analysis of the system decomposition, decomposition scheme evaluation, and core module identification criteria. Then, the above criteria are used as a guide to identifying the core system modules for this application, and the core system modules are optimized based on the idea of inheritance. Finally, the optimal system modules are validated and analyzed to ensure that the model-solving efficiency is improved as much as possible without losing this model’s necessary behavioral characteristics and dominant effects. A case study of virtual machining dynamic performance test bench (VM-TB) design scheme validation is carried out to show the implementation flow of the proposed method and verify its operability and effectiveness.
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机电装备数字孪生机构模型构建理论研究
DOI：
10.1007/s00170-022-09144-w
发表时间：
2022-04
期刊：
The International Journal of Advanced Manufacturing Technology
影响因子：
--
作者：
Yongli Wei;Tianliang Hu;Pengjun Yue;Weichao Luo;Songhua Ma
通讯作者：
Songhua Ma
影响因子：
9.2
作者：
X. Wang;Lihui Wang
通讯作者：
X. Wang;Lihui Wang
数控机床数字孪生模型的一致性保持方法
影响因子：
12.1
作者：
Yongli Wei;Tianliang Hu;Tingting Zhou;Yingxin Ye;Weichao Luo
通讯作者：
Weichao Luo
数字孪生的支持技术和工具
影响因子：
12.1
作者：
Qi, Qinglin;Tao, Fei;Nee, A. Y. C.
通讯作者：
Nee, A. Y. C.
影响因子：
2.1
作者：
Fei Li;Xudong Li;Hualong Xie
通讯作者：
Fei Li;Xudong Li;Hualong Xie