To predict the temperature field of spindle-bearing system more accurately and monitor the temperature rise of key parts
a transient thermal network model with the coupling of the temperature field and deformation was established. The radial compound stress-deformation equation under the initial assembly stress
centrifugal stress and thermal stress was derived following thermo-elasticity theory. The key system components were picked out as the heat nodes according to thermal network optimization. Taking both temperature-viscosity effect and radial compound stress-deformation into account
several key thermal parameters
such as heat source and thermal boundary conditions
were modified in real time. The coupled temperature field and deformation of spindle-bearing system were analyzed. The transient temperature curves of bearings under different conditions and the transient properties of key thermal parameters were obtained numerically. The results shows that the higher of the spindle speed
the higher of the equilibrium temperature
and the shorter of the equilibrium time. The iterative step can only affect the equilibrium time but not the equilibrium temperature. A comparison with a set of experiments indicates that the transient thermal network model enables to reduce errors remarkably in predicting the temperature field of spindle-bearing system.
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references
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