Abstract: |
Addressing the current challenges in predicting the delay performance of magneto rheological time delay mechanisms, including experimental difficulty, high cost, and insufficient prediction accuracy, this study integrates digital twin technology with the working principles of magneto rheological time delay mechanisms to develop a digital twin system for magneto rheological time delay mechanisms.The overall architecture of the digital twin system of magneto rheological time delay mechanism is established, and the system’s functional modules and operational mechanisms are planned and designed. Methods for implementing the physical space, twin space, twin data, and visualization services of the digital twin system for magneto rheological time delay mechanisms are analyzed. By integrating the mechanism simulation and experimental data, and adopting the Random Forest algorithm with the help of Unity3D visualization platform, the high precision and fast simulation prediction of the delay performance of magneto rheological time delay mechanism based on the digital twin technology, along with virtual visualization, are achieved. The design and development of the digital twin system for magneto rheological time delay mechanism are conducted, and the system’s functionality is validated through experimental data, providing services for the data interaction and visualization of the whole life cycle of munition digital twin. |