Thermal coefficients modification of high speed ball bearing by multi-object optimization method

Currently higher requirements on accurate thermal analysis of rolling bearing are put forward for high precision bearing-spindle system. To this end, this paper first presents a reverse solution method for thermal transfer analysis of high speed ball bearing, based on the internal multi-point temperature data by direct experimental method. Firstly, temperatures of bearing rotating components were obtained by a novel non-contact quantum dots fluorescence method and were treated as the target variables, and thermal convection coefficients and bearing temperature field obtained by traditional empirical formula were treated as the initial conditions. Parameters such as thermal convection coefficients between bearing inner ring/cage and lubricant, bearing housing and the air were optimized via the multi-objective optimization method. As evaluation, thermal elongation of a precision bearing-spindle was tested and the results prove the necessity of the coefficients optimization and the reliability of the presented method in this paper.