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Examining the experimental effects of concentration and temperature on the viscosity of nanofluid containing graphene oxide, suggesting a correlation, and developing a neural network. [PDF]

Sci Rep
Aghayari R, Keyvani B, Toghraie D, Salahshour S.   +3 more
europepmc   +1 more source

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Thermal error modeling and compensation based on Gaussian process regression for CNC machine tools

Precision Engineering, 2022
Xinyuan Wei, Honghan Ye, Enming Miao
exaly   +2 more sources

Research on Thermal Error Modeling of CNC Machine Tool

Advanced Materials Research, 2010
Four key temperature points of a CNC machine tool were obtained in this paper, and a thermal error model based on the four key temperature points was proposed by using based back propagation neural network. A thermal error compensation system was developed based on the proposed model, and which has been applied to the CNC machine tool in daily ...
Qian Jian Guo, Jian Guo Yang
openaire   +2 more sources

MA-CNN based spindle thermal error modeling using the depth feature analysis with thermal error mechanism

Measurement
Guoqiang Fu, Sen Mu, Yue Zheng, Caijiang Lu, Xi Wang, Tao Wang   +5 more
openaire   +2 more sources

The temperature-sensitive point screening for spindle thermal error modeling based on IBGOA-feature selection

Precision engineering, 2022
Thermal error compensation is a simple and efficient method to reduce thermal errors of machine tools, and the compensation effect largely depends on the temperature-sensitive points screened for the thermal error modeling.
Guolong Li, Tang Xiaodong, Zheyu Li, Kai Xu, Chuanzhen Li   +4 more
semanticscholar   +1 more source

Research on optimal multivariate thermal error modeling based on finite-element analysis

Proceedings of the Institution of mechanical engineers. Part E, journal of process mechanical engineering, 2023
To improve the nonlinear fitting ability of multiple linear regression model in thermal error prediction of machine tools, an optimized thermal error modeling method based on test and simulation is proposed in this paper.
Liang Peng, Zhenlei Chen, Leilei Cheng, Changfa Wang   +3 more
semanticscholar   +1 more source

Thermal error modeling of machine tool based on dimensional error of machined parts in automatic production line.

ISA transactions, 2022
Thermally induced error has proven to be the major source of machining error for the machine tool working in a non-temperature-controlled workshop. Current research on thermal error modeling and compensation is implemented based on the measured thermal ...
Hu Shi, Yao Xiao, X. Mei, T. Tao, Haitao Wang   +4 more
semanticscholar   +1 more source

Integrated thermal error modeling of machine tool spindle using a chicken swarm optimization algorithm-based radial basic function neural network

International Journal of Advanced Manufacturing Technology, 2019
Guoqiang Fu, Hongli Gao, Fu Guoqiang
exaly   +2 more sources

Thermal Error Modelling in CNC Machines

Applied Mechanics and Materials, 2014
Latest trend in increasing the performance characteristics of precision machines is reducing error in machines. Today research is focused on Machine tool accuracy. The effect of thermal error contributes to major part of 70% of volumetric error. The present study aims to establish a new compensation method for CNC Turning centre.
R. Jamuna, U. Natarajan
openaire   +1 more source