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 …

Thermal error modeling of motorized spindle based on Elman neural network optimized by sparrow search algorithm

Z Li, B Zhu, Y Dai, W Zhu, Q Wang, B Wang - The International Journal of …, 2022 - Springer
The thermal error of the motorized spindle is an essential factor affecting the machining
accuracy of high-speed numerically controlled machines. The establishment of a high-speed …

New machine learning application platform for spatial–temporal thermal error prediction and control with STFGCN for ball screw system

H Gui, J Liu, C Ma, M Li, S Wang - Mechanical Systems and Signal …, 2023 - Elsevier
The big data platform, which has a high control accuracy and efficiency, is expected to
realize the high-accuracy prediction and real-time control of the thermal error (TE) for the …

An adaptive modelling approach using a novel modified AOA/SVR for prediction of drilling-induced delamination in CFRP/Ti stacks

H Yao, K Zhang, H Cheng, CAO Sipeng… - Journal of Manufacturing …, 2023 - Elsevier
Delamination is the most critical damage in drilling the CFRP/Ti stacks under the impact of
drilling parameters and tool structure, which makes the traditional theoretical or empirical …

A review of the application of machine learning techniques in thermal error compensation for CNC machine tools

Y Wang, Y Cao, X Qu, M Wang, Y Wang, C Zhang - Measurement, 2024 - Elsevier
Thermal error is a key factor that affects the overall error of CNC machine tools and the
machining accuracy of workpieces. Effectively addressing the impact of thermal errors has …

An improved robust thermal error prediction approach for CNC machine tools

H Ye, X Wei, X Zhuang, E Miao - Machines, 2022 - mdpi.com
Thermal errors significantly affect the accurate performance of computer numerical control
(CNC) machine tools. In this paper, an improved robust thermal error prediction approach is …

[HTML][HTML] Buried pipeline collapse dynamic evolution processes and their settlement prediction based on PSO-LSTM

Y Zhou, Z Teng, L Chi, X Liu - Applied Sciences, 2023 - mdpi.com
Based on the unit life and death technology, the dynamic evolution process of soil loss is
considered, and a pipe-soil nonlinear coupling model of buried pipelines passing through …

Improving machining accuracy of complex precision turning-milling machine tools

TC Chan, JD Li, U Farooq, A Ullah - The International Journal of Advanced …, 2024 - Springer
To improve stability and accuracy during machining, the structural performance of machine
tools must be predicted in advance. This study aims to improve the performance of a large …

Real-time thermal error prediction and compensation of ball screw feed systems via model order reduction and hybrid boundary condition update

L Cao, CH Park, SC Chung - Precision Engineering, 2022 - Elsevier
Thermal deformation of a ball screw is a quasi-static process and incurs positioning error. To
obtain a rapid prediction model to compensate for this deformation error, a reduced-order …

Thermal image-driven thermal error modeling and compensation in CNC machine tools based on deep attentional residual network

C Cui, T Zan, S Ma, T Sun, W Lu, X Gao - The International Journal of …, 2024 - Springer
Thermal error is a critical factor influencing the machining accuracy of CNC machine tools,
so it is essential to comprehensively model and compensate for thermal errors in CNC …