Abstract
The friction heat of spindle bearing has a significant impact on the precision and dynamic performance of spindle unit, which is the main factor restricting the machining precision and efficiency of the machine tool (MT). In this research, fractal theory, which characterizes rough surface by fractal dimension and surface characteristic parameters, hybrid genetic algorithm is used to study the temperature field of a FANUC machining center spindle. The thermal contact resistance (TCR) of each contact surface is computed according to the geometric characteristics and assembly load characteristics of each contact surface of the spindle. Adopting central composite design experiment and finite element method, an in-deep analysis of the thermal characteristics of machine tool in different thermal boundary conditions was conducted and the influence of thermal contact resistances and instability of thermal boundary conditions on the temperature field analysis of machine tool was discussed. Through the temperature rise experiment on the machine tool, the results of simulation analysis and experiment show that the method introduced in this research to calculate the temperature field of machine tool is effective. The work introduced in this research is helpful for the thermal analysis of spindle in machine tool, which can be seen as a guide on spindle’s design and performance optimization.
Published Version
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