Zhejiang University

Tingyu Wang

Jianzhong Fu

Peng Zhao

Kaipeng Ji

Hongwei Zhou

Zhengyang Dong

Jianguo Zheng

Xuechun Zhang

Chengqian Zhang

The present disclosure discloses a magnetic flexible tactile sensor structure based on a folding magnetization method, which comprises a flexible body containing a permanent magnetic material; the flexible body has a negative Poisson's ratio structure, and its set area has undergone folding magnetization treatment. The present disclosure also discloses a sensor composed of the above-mentioned sensing structure. The sensor provided by the present disclosure can be applied in sealed and wireless scenarios. The present disclosure can detect the size and position of force. The flexible sensor has broad prospects in the application of the touch skin of robots. The function between the magnetic field-based sensing magnet and the Hall element is contactless. In some cases where it is difficult to establish isolation of the connection lines, it can also be used as an unfettered tactile sensor.

Magnetic flexible tactile sensing structure and application based on folding magnetization method

The present invention discloses a model-free optimization method of process parameters of injection molding to solve the problems of frequent tests required and performing adaptive adjustment on different parameters in the existing optimization method. The method need not build a surrogate model between a product quality index and a process parameter to render the process parameter to converge nearby the optimal solution by an on-line iteration method. The present invention calculates the gradient direction of a current point by an iterative gradient estimation method, and uses adaptive moment estimation algorithm to allocate an adaptive step for each parameter. The method can significantly reduce the cost and time required in the process parameter, which greatly helps improving the optimization efficiency of process parameters of injection molding.

Model-free optimization method of process parameters of injection molding

Growing community of inventors

Hangzhou, China

Tingyu Wang