• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2017, Vol. 53 ›› Issue (23): 129-136.doi: 10.3901/JME.2017.23.129

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The Temperature Prediction Mode of High Speed and High Precision Motorized Spindle

ZHANG Lixiu1,2, LI Chaoqun1,2, LI Jinpeng1,2, ZHANG Ke1,2, WU Yuhou1,2   

  1. 1. School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168;
    2. National-Local Jiont Engineering Laboratory of NC Machining Equipment and Technology of High-Grade Stone, Shenyang Jianzhu University, Shenyang 110168
  • Received:2016-11-09 Revised:2017-03-11 Published:2017-12-05

Abstract: A prediction model of a high speed and high precision motorized spindle temperature rise is presented, which combined with the finite element model and test data, in order to accurately predict the temperature field of motorized spindle under different working conditions; The finite element model of the motorized spindle flow field and temperature field is built, and the influence of the cooling system and the lubrication system parameters on the motorized spindle temperature field is analyzed. The motorized spindle loss testing method is designed considering the operation speed and load, the total loss of the motorized spindle is measured as the basis of the motor and bearing heat basis. Considering the influence of the cooling system, lubrication system parameters and environmental conditions on the heat transfer coefficient, based on the test data of surface temperature of motorized spindle, the least square algorithm is applied to optimize the heat transfer coefficient of motorized spindle, and the optimized heat transfer coefficients are used as the boundary condition of the finite element model. A prediction model of temperature rise of 170SD30-SY motorized spindle is established, the temperature field simulation data with the heat transfer coefficient before and after optimization are compared with the test data. The results show that the prediction accuracy of the model is improved by 4.78% after the optimization of the heat transfer coefficient, the prediction model of motorized spindle temperature rise has higher prediction precision.

Key words: finite element, heat transfer coefficient, least square method, motorized spindle, temperature field

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