Wenzhou University

Dingfang Chen

Liang Shu

Wei Chen

Ziran Wu

Guichu Wu

Bo Li

Miao Yang

Xu Zhang

Yeheng Zhang

Quanguo Lu

Marcelo J Dapino

Menglun Tao

Jie Zhang

Yanfang Yang

Yanchao Zhu

A matching control method for mechanical impedance of a magnetostrictive precision transducer includes developing a three-layer neural network model corresponding to a Young's modulus of a Terfenol-D material; acquiring sample data to form a training sample set and a testing sample set; training the model using a Bayesian regularization training algorithm, and optimizing connection weights and thresholds among layers of the tested model, so as to obtain a final three-layer neural network model; based on the final model, building an inverse model of mechanical impedance of the magnetostrictive precision transducer; using a current level of impedance of a load as an input of the inverse model to obtain a bias magnetic field, and changing a level of the bias magnetic field by changing a bias current in an excitation coil of the transducer, thereby achieving adaptive matching between the mechanical impedance of the transducer and the impedance of the load.

Matching control method for mechanical impedance of magnetostrictive precision transducer

A digital-twin modeling method for an automated testing pipeline for circuit breakers involves acquiring a three-dimensional digitalized model of each mechanical installation in the testing pipeline; modeling hierarchy according to an actual production process and motion states; performing mesh optimization on the resulting model; designing movements of each said mechanical installation, so as to obtain mechanical movement tracks of the models; combining actual movement logic and cooperative relationship among the movements to edit the mechanical movement tracks of the models; and introducing motion control, so as to conduct motion simulation in a digital-twin scene, thereby implementing virtual movements synchronous with movements of the actual testing pipeline. The method realizes centralized management of production data of the pipeline and realizes remote visualized operation, management and maintenance of the testing pipeline, thereby providing a basic platform for digitalized production of miniature circuit breakers.

Digital-twin modeling method for automated testing pipeline for circuit breakers

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Wenzhou, China

Dingfang Chen