NDLI: Boundary conditions optimization of spindle thermal error analysis and thermal key points selection based on inverse heat conduction

Content Provider	Springer Nature Link
Author	Li, Yang Zhao, Wanhua Wu, Wenwu Lu, Bingheng
Copyright Year	2016
Abstract	Thermal error of the spindle is one of the primary contributors of the inaccuracy of the precision machine tools. In order to study the thermal characteristics of the spindle, finite element analysis has been widely used. However, the accuracy of numerical simulation is highly dependent on the boundary conditions especially the coefficients of convection heat transfer. In this paper, the inverse heat conduction theory is introduced and used for optimizing the coefficients of convection heat transfer. Then, the temperature field and thermal error of the spindle are simulated in ANSYS. Based on the simulation results, a new method called mean impact value is proposed to select the thermal key points in the spindle system. Finally, the verification experiments are conducted on a precision horizontal machining center. By comparing the simulation results with the experimental data, the correctness and effectiveness of the heat convection coefficient optimization are verified. In addition, the results of thermal error modeling based on multiple variables including the temperatures of the thermal key points show that the result of the thermal key point selection is satisfying.
Starting Page	2803
Ending Page	2812
Page Count	10
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	90
Issue Number	9-12
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2016-10-22
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Thermal error Coefficients of convection heat transfer Thermal key point Inverse heat transfer Mean impact value Industrial and Production Engineering Media Management Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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