Consistency retention method for CNC machine tool digital twin model
| Autor: | Tingting Zhou, Tianliang Hu, Yingxin Ye, Weichao Luo, Yongli Wei |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Test bench business.product_category Operability Computer science business.industry Data management Process (computing) 02 engineering and technology Industrial and Manufacturing Engineering Machine tool Consistency (database systems) 020901 industrial engineering & automation Workflow Hardware and Architecture Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Numerical control 020201 artificial intelligence & image processing business Software Simulation |
| Zdroj: | Journal of Manufacturing Systems. 58:313-322 |
| ISSN: | 0278-6125 |
| Popis: | Computer Numerical Control Machine Tool (CNCMT) Digital Twin (DT) model is a carrier for complex, time-varying, coupled data of CNCMT, which can theoretically provide a time-varying high-fidelity model. However, there are still many difficulties in its implementation process. And the key issue is how to realize the updated DT model with performance attenuation and validate it. In order to solve this problem, a model consistency retention method for CNCMT DT model is studied and proposed in this paper. Firstly, the framework of consistency retention method for DT model is designed including both digital space and physical space. The principles of data management and performance attenuation update in digital space are elaborated. Then, the implementation method for consistency retention of CNCMT DT model is studied in terms of performance attenuation update workflow for wear and other damage separately. Finally, a case study for the establishment and application of high-fidelity test bench DT model that focusing on rolling guide-rail is carried out to show the implementation flow of the proposed method and verify its operability and effectiveness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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