Operational Temperature Effect on Positioning Accuracy of a Single-Axial Moving Carrier

This study investigated the ambient environmental temperature effect on the positioning accuracy of a periodically-moving carrier. The moving carrier was operated in an environmental chamber in which the operational temperature could be controlled by an air conditioning system. Different operational temperature modes, including a stable environment, a rise in temperature, a decline in temperature, summer daytime hours, and winter nighttime hours in terms of seasonal climate change in Taiwan, were generated within the environmental chamber by an air conditioning system to investigate the operational temperature’s effect on positioning accuracy. From the experimental measurements of a periodically-moving carrier, it is found that the operational temperature conditions can significantly affect the positioning accuracy of the moving carrier, especially in the case of an operational temperature decline. Under stable operational conditions, the positioning accuracy of the moving carrier can be considerably improved. In comparison to the case of an operational temperature decline, the positioning accuracy improvement can reach 29.6%. Moreover, the effect of the temperature distributions within the chamber on the positioning accuracy was further investigated. It was found that, with a parallel flow pattern in the chamber, the positioning accuracy can be further enhanced.

[1]  Christian Brecher,et al.  Thermal issues in machine tools , 2012 .

[2]  Jason R. W. Merrick,et al.  A Bayesian Semiparametric Analysis of the Reliability and Maintenance of Machine Tools , 2003, Technometrics.

[3]  Toshimichi Moriwaki,et al.  Thermal Deformation of Machining Center due to Temperature Change in the Environment. , 1991 .

[4]  Wei-Yao Hsu,et al.  Characterizations and models for the thermal growth of a motorized high speed spindle , 2003 .

[5]  David Dornfeld,et al.  A comparative analysis of the environmental impacts of machine tool manufacturing facilities , 2015 .

[6]  Wendai Wang,et al.  Fitting the Weibull log-linear model to accelerated life-test data , 2000, IEEE Trans. Reliab..

[7]  Andrew P. Longstaff,et al.  Flexible modelling and compensation of machine tool thermal errors , 2005 .

[8]  Arpad Horvath,et al.  Green Manufacturing and Sustainable Manufacturing Partnership Title Environmental Analysis of Milling Machine Tool Use in Various Manufacturing Environments , 2022 .

[9]  Shi Tielin,et al.  Experimental research on factors influencing thermal dynamics characteristics of feed system , 2010 .

[10]  Bhupesh Kumar Lad,et al.  Reliability and Maintenance Based Design of Machine Tools , 2013 .

[11]  Aun-Neow Poo,et al.  Thermal error measurement and modelling in machine tools.: Part I. Influence of varying operating conditions , 2003 .

[12]  Eiji Shamoto,et al.  Analysis of Thermal Deformation of an Ultraprecision Air Spindle System , 1998 .

[13]  Sun-Kyu Lee,et al.  Effect of thermal deformation on machine tool slide guide motion , 2003 .

[14]  Bin Li,et al.  A thermal error model for large machine tools that considers environmental thermal hysteresis effects , 2014 .

[15]  O. P. Gandhi,et al.  Reliability evaluation and analysis of CNC cam shaft grinding machine , 2015 .

[16]  Aun-Neow Poo,et al.  Error compensation in machine tools — a review: Part II: thermal errors , 2000 .

[17]  Yang Zhao-ju Progress in the Research of Reliability Technology of Machine Tools , 2013 .

[18]  Andrew P. Longstaff,et al.  Efficient estimation by FEA of machine tool distortion due to environmental temperature perturbations , 2013 .

[19]  Guixiang Shen,et al.  Reliability Analysis for CNC Machine Tool Based on Failure Interaction , 2011, ICIC 2011.