Integrating machine learning and feature analysis for predicting and managing thermal deformation in machine tools
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Publisher
Elsevier BV
Reference31 articles.
1. A proposal of models for thermal compensation in machine tools based on a formulation for in-series heat transfer;Zoppellari;Int. J. Adv. Manuf. Technol.,2023
2. Thermal deformation and economic analysis of a multiobject cooling system for spindles with varied coolant volume control;Li;Int. J. Adv. Manuf. Technol.,2023
3. Robust modeling method for thermal error of CNC machine tools based on random forest algorithm;Zhu;J. Intell. Manuf.,2023
4. The spindle axial time-varying thermal error compensation method for horizontal boring and milling machine tool based on edge computing;Song;Int. J. Adv. Manuf. Technol.,2023
5. Establishment of low-cost and stable prediction modals applied for thermal displacements in three axes;Luo;IEEE Sensor. J.,2022
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