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3-axis computer numerical control machine positioning error dataset for thermal error compensation [PDF]

open access: yesData in Brief
This article reports on a comprehensive dataset detailing positioning errors in a 3-axis milling center machine (MCM) with computer numerical control (CNC) specifically curated for thermal error compensation.
Adalto Farias   +3 more
doaj   +4 more sources

Year-Round Thermal Error Modeling and Compensation for the Spindle of Machine Tools Based on Ambient Temperature Intervals [PDF]

open access: yesSensors, 2022
The modeling and compensation method is a common method for reducing the influence of thermal error on the accuracy of machine tools. The prediction accuracy and robustness of the thermal error model are two key performance measures for evaluating the ...
Xinyuan Wei, Honghan Ye, Xugang Feng
doaj   +2 more sources

Thermal Error Prediction in High-Power Grinding Motorized Spindles for Computer Numerical Control Machining Based on Data-Driven Methods [PDF]

open access: yesMicromachines
The thermal error of the high-power grinding motorized spindle, caused by heating, seriously affects machining accuracy. In this paper, an ensemble learning algorithm is used to predict the thermal error of a high-precision motorized spindle.
Quanhui Wu   +5 more
doaj   +2 more sources

Research on optimization of temperature sensitive points of machine tool thermal error based on independent variable selection criteria [PDF]

open access: yesScientific Reports
In order to improve the prediction accuracy and robustness of the machine tool thermal error model, a method to select temperature sensitive points of the machine tool thermal error model based on independent variable selection criteria is proposed ...
Huadong Li, Jingjun Liu, Yang Li
doaj   +2 more sources

Thermal Error Analysis of Hydrostatic Turntable System

open access: yesMachines
The thermal error caused by the temperature rise in the service condition of the hydrostatic turntable system has a significant impact on the accuracy of the machine tool.
Jianlei Wang   +3 more
doaj   +2 more sources

Minimum-error discrimination of thermal states [PDF]

open access: yesPhysical Review A, 2021
We study several variations of the question of minimum-error discrimination of thermal states. Besides of providing the optimal values for the probability of error, we also characterize the optimal measurements. For the case of a fixed Hamiltonian, we show that for a general discrimination problem the optimal measurement is the measurement in the ...
Seyed Arash Ghoreishi, Mario Ziman
openaire   +2 more sources

Study on Thermal Error Modeling for CNC Machine Tools Based on the Improved Radial Basis Function Neural Network

open access: yesApplied Sciences, 2023
The thermal error modeling technology of computer numerical control (CNC) machine tools is the core of thermal error compensation, and the machining accuracy of CNC machine tools can be improved effectively by the high-precision prediction model of ...
Zhiming Feng   +4 more
doaj   +1 more source

Thermal Error Analysis of Five-Axis Machine Tools Based on Five-Point Test Method

open access: yesLubricants, 2022
The accuracy of five-axis machine tools is a key performance indicator. Among the various error sources of high precision five-axis machine tools, thermal and geometric errors occupy the majority.
Yu Li   +3 more
doaj   +1 more source

Analysis of Thermal Characteristics of MEMS Sensors for Measuring the Rolling Period of Maritime Autonomous Surface Ships

open access: yesJournal of Marine Science and Engineering, 2022
Recently, with the emergence of maritime autonomous surface ships (MASS), ensuring seaworthiness has increased with the operation of MASS. Ship stability is important for safety, and technical methods for controlling a ship’s motion are required to ...
Hee-Jin Lee, Deuk-Jin Park
doaj   +1 more source

Thermal error modelling for real-time error compensation [PDF]

open access: yesThe International Journal of Advanced Manufacturing Technology, 1996
A modelling strategy for the prediction of both the scalar and the position-dependent thermal error components is presented. Two types of empirical modelling method based on the multiple regression analysis (MRA) and the artificial neural network (ANN) have been proposed for the reaLtime prediction of thermal errors with multiple temperature ...
Chen, J. S., Yuan, J., Ni, Jun
openaire   +2 more sources

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