Modeling and compensation of small-sample thermal error in precision machine tool spindles using spatial–temporal feature interaction fusion network
Precision machine tools play a pivotal role in high-accuracy machining across diverse
sectors, from aerospace to medical devices. Among the factors affecting machining …
sectors, from aerospace to medical devices. Among the factors affecting machining …
Thermal error modeling and compensation based on Gaussian process regression for CNC machine tools
X Wei, H Ye, E Miao, Q Pan - Precision Engineering, 2022 - Elsevier
Thermal errors are one of the main factors affecting the accuracy of high-precision computer
numerical control machine tools. Modeling and compensation are the most common …
numerical control machine tools. Modeling and compensation are the most common …
A thermal displacement prediction system with an automatic LRGTVAC-PSO optimized branch structured bidirectional GRU neural network
PH Kuo, YW Chen, TH Hsieh, WY Jywe… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Considering technology's rapid development, traditional manufacturing methods are
insufficient to achieve the high accuracy demanded by aerospace, national defense, and …
insufficient to achieve the high accuracy demanded by aerospace, national defense, and …
Spindle thermal error prediction modeling using vision-based thermal measurement with vision Transformer
G Fu, Y Zheng, G Lei, C Lu, X Wang, T Wang - Measurement, 2023 - Elsevier
Modeling and compensation of thermal errors is one important way to enhance the
machining accuracy of the machine tool. This paper proposes a thermal error prediction …
machining accuracy of the machine tool. This paper proposes a thermal error prediction …
Transfer learning-based thermal error prediction and control with deep residual LSTM network
The thermal error is a dominant factor that seriously hinders the high-accuracy machining of
complex parts. The weak robustness and low predictive accuracy have always been barriers …
complex parts. The weak robustness and low predictive accuracy have always been barriers …
A novel weakly supervised adversarial network for thermal error modeling of electric spindles with scarce samples
Thermal error modeling (TEM) stands as a pivotal factor in maintaining the machining
accuracy of electric spindles. Deep learning (DL) techniques have shown promising …
accuracy of electric spindles. Deep learning (DL) techniques have shown promising …
[HTML][HTML] Thermal displacement prediction model with a structural optimized transfer learning technique
Thermal deformation of the spindle accounts for a large proportion of existing errors. After
gathering data on thermal deformation through an experiment with a machine tool, AI …
gathering data on thermal deformation through an experiment with a machine tool, AI …
Theoretical and experimental study on rotating heat pipe towards thermal error control of motorized spindle
The thermal equilibrium time (TET) is extremely long, and the thermal elongation (TE) is
obvious because the heat dissipation performance (HDP) is weak and the temperature …
obvious because the heat dissipation performance (HDP) is weak and the temperature …
A four-terminal-architecture cloud-edge-based digital twin system for thermal error control of key machining equipment in production lines
Production lines are important for the high-accuracy and efficient machining of parts. The
thermal error of key machining equipment in production lines has a significant effect on the …
thermal error of key machining equipment in production lines has a significant effect on the …
Correlation analysis-based thermal error control with ITSA-GRU-A model and cloud-edge-physical collaboration framework
To improve the machining accuracy of machine tools, a correlation analysis-based thermal
error control is realized on the basis of the improved tunicate swarm algorithm-gated …
error control is realized on the basis of the improved tunicate swarm algorithm-gated …