Session: CIE-22-01 - AMS-CAPPD: Digital Twin: Advanced Human Modeling and Simulation in Engineering

Paper Number: 89187

89187 - Framework Design of a Digital Twin of an XY Compliant Parallel Manipulator Based on Non-Negative Matrix Factorization 

A promising multi-layer mirror-symmetry XY compliant parallel manipulator (CPM) has been recently reported to address the tradeoff between a small compact footprint and a minimized parasitic rotation. However, there is a need to depict its physical mechanical characteristics in a virtual space instantaneously to scientifically ensure the healthy operation of equipment and make maintenance decisions reasonably. The digital twin, an emerging technology, can be used to address this need by achieving a seamless convergence of physical and virtual spaces for this XY CPM. However, the high accuracy and instantaneousness requirements have hindered the application and popularization of the digital twin. This article presents a framework to build an accurate and lightweight digital twin, and in the meanwhile significantly reduces the computational budget (i.e. high computation efficiency). The proposed framework leverages the advantages of the non-negative matrix factorization to reduce the number of surrogate models from millions to dozens without appreciably compromising the prediction accuracy. Numerical simulations, sensor data, data dimensionality reduction, and visualization technology are all integrated into the construction of the digital twin. The framework is validated by an XY CPM test apparatus. The resulting results demonstrate that the proposed framework is an effective tool to build an accurate and lightweight digital twin for the XY CPM, which is also promising for other compliant mechanisms or parallel manipulators.

Presenting Author: Jiaxiang Zhu University College Cork

Presenting Author Biography: Jiaxiang is a PhD student at University College Cork

Authors:

Xueguan Song Dalian University of Technology
Kunpeng Li Dalian University of Technology
Shuo Wang Dalian University of Technology
Ziyun Kan Dalian University of Technology
Haiyang Li Dalian University of Technology
Jiaxiang Zhu University College Cork
Guangbo Hao University College Cork