A Regularized Regression Thermal Error Modeling Method for CNC Machine Tools under Different Ambient Temperatures and Spindle Speeds.

Establishing a mathematical model to predict and compensate for the thermal error of CNC machine tools is a commonly used approach. Most existing methods, especially those based on deep learning algorithms, have complicated models that need huge amounts of training data and lack interpretability. Therefore, this paper proposes a regularized regression algorithm for thermal error modeling, which has a simple structure that can be easily implemented in practice and has good interpretability.

Sliding sensor using fiber Bragg grating for mechanical fingers.

A sliding sensor based on a fiber Bragg grating (FBG) was proposed to enable mechanical fingers to softly grasp an object. FBG strain sensors are embedded in a polymeric material as a sensing element to obtain sliding information. This study expounded the structural design of the sliding sensor and the mechanism of sliding sensation, which were verified using the finite element simulation.