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Adaptive input selection for thermal error compensation models
CIRP Annals, 2020Abstract The presented method selects optimal inputs for compensation models based on the Thermal Adaptive Learning Control methodology. The number of inputs and the individual inputs for each considered thermal error are automatically adapted. The intelligent combination of k-means clustering and Time Series Cluster Kernel enables the approach to ...
Nico Zimmermann +3 more
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Thermally Induced Errors Modeling and Control for PCMA
Chinese Optics Letters, 2014We develop the kinematic model of portable coordinate measuring arm (PCMA) based on the research on its mechanical characteristics and working principle, and present a comprehensive thermally-induced error correction model for PCMA. Based on the model and nominal data provided by a highly accurate coordinate measuring machine, the technique for ...
Wanli Liu Wanli Liu +2 more
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Thermal Errors Simulation and Modeling of Motorized Spindle
Advanced Materials Research, 2010Thermal errors of motorized spindle are of great importance to affect final machining precision of CNC machine tool. Thermal characteristics simulation analysis of motorized spindle is realized by ANSYS; thermal errors test measurement is completed based on 5-point method; and prediction models of thermal errors are constructed by multiple linear ...
Liang Yu Cui +4 more
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Dynamic modeling for thermal error in motorized spindles
The International Journal of Advanced Manufacturing Technology, 2014This paper proposes a new modeling methodology to predict thermal error in motorized spindles. The dynamic model predicts thermal errors that are caused by deformation in the motorized spindle structure due to heat flow from internal sources. These thermally induced errors become more serious and dominate the total error when it comes to high speed and
Baomin Wang +3 more
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Novel thermal error modeling method for machining centers
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2014Thermal deformation is one of the main contributors to machining errors in machine tools. In this paper, a novel approach to build an effective thermal error model for a machining center is proposed. Adaptive vector quantization network clustering algorithm is conducted to identify the temperature variables, and then one temperature variable is ...
Xiaolong Zhu, Sitong Xiang, Jianguo Yang
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Thermal Error Modeling of Rotary Axis Based on Convolutional Neural Network
, 2021Rotary axes are the key components for five-axis computerized numerical control machines, while their motions are dramatically influenced by thermal issues. To precisely model the thermal error of rotary axis, a convolutional neural network (CNN) model
Cheng Wu, Sitong Xiang, Wansheng Xiang
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Variable Parameters Model of Machine Tool Thermal Error
2011 Third International Conference on Measuring Technology and Mechatronics Automation, 2011Due to the ambiguous influencing factors on thermal error and difficulties in determining temperature measuring points, an on-line grey GM(1,1) prediction model with variable parameters is advanced. By virtue of modeling on thermal error with single sequence, the method has no necessity to consider thermal error extraneous affecting factors.
Zhang Ting +3 more
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Recent Patents of Thermal Error Modeling and Thermal Error Prediction of CNC Machine Tool Spindle
Recent Patents on Engineering: With the development of machine tools to high precision and high automation, thermal error has become the key reason to hinder the improvement of thermal stability of machine tools. The spindle electrothermal error is an important factor affecting the machining accuracy of highspeed CNC machine tools.
Zhaolong Li, Benchao Sun
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Thermal Error Modeling of a CNC Machine Tool
Applied Mechanics and Materials, 2013The purpose of this research is to improve the machining accuracy of a CNC machine tool through thermal error modeling and compensation. In this paper, a thermal error model based on back propagation networks (BPN) is presented, and the compensation is fulfilled.
Chong Zhi Mao, Qian Jian Guo
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Dynamic Modeling for Machine Tool Thermal Error Compensation
Manufacturing Engineering, 2001Abstract This paper presents a new thermal error modeling methodology called the Dynamic Thermal Error Modeling which improves the accuracy and robustness of the machine tool thermal error model. The characteristics of the thermoelastic system are investigated from the dynamic system viewpoint. The pseudo-hysteresis effect is revealed to
Hong Yang, Jingxia Yuan, Jun Ni
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