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Appl. Sci. 2017, 7(10), 1091; https://doi.org/10.3390/app7101091

Hybrid Prediction Model of the Temperature Field of a Motorized Spindle

1
Test and Analysis Center, Shenyang Jianzhu University, No. 9, Hunnan East Road, Hunnan New District, Shenyang 110168, China
2
School of Mechanical Engineering, Shenyang Jianzhu University, No. 9, Hunnan East Road, Hunnan New District, Shenyang 110168, China
*
Author to whom correspondence should be addressed.
Received: 26 September 2017 / Revised: 17 October 2017 / Accepted: 18 October 2017 / Published: 22 October 2017
(This article belongs to the Special Issue Soft Computing Techniques in Structural Engineering and Materials)
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Abstract

The thermal characteristics of a motorized spindle are the main determinants of its performance, and influence the machining accuracy of computer numerical control machine tools. It is important to accurately predict the thermal field of a motorized spindle during its operation to improve its thermal characteristics. This paper proposes a model to predict the temperature field of a high-speed and high-precision motorized spindle under different working conditions using a finite element model and test data. The finite element model considers the influence of the parameters of the cooling system and the lubrication system, and that of environmental conditions on the coefficient of heat transfer based on test data for the surface temperature of the motorized spindle. A genetic algorithm is used to optimize the coefficient of heat transfer of the spindle, and its temperature field is predicted using a three-dimensional model that employs this optimal coefficient. A prediction model of the 170MD30 temperature field of the motorized spindle is created and simulation data for the temperature field are compared with the test data. The results show that when the speed of the spindle is 10,000 rpm, the relative mean prediction error is 1.5%, and when its speed is 15,000 rpm, the prediction error is 3.6%. Therefore, the proposed prediction model can predict the temperature field of the motorized spindle with high accuracy. View Full-Text
Keywords: motorized spindle; temperature field; prediction model; heat transfer coefficient; finite element motorized spindle; temperature field; prediction model; heat transfer coefficient; finite element
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Zhang, L.; Li, C.; Wu, Y.; Zhang, K.; Shi, H. Hybrid Prediction Model of the Temperature Field of a Motorized Spindle. Appl. Sci. 2017, 7, 1091.

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