Adjustment of uncertain model parameters to improve the prediction of the thermal behavior of machine tools
Author:
Funder
German Science Foundation
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference18 articles.
1. Industrial Relevance and Causes of Thermal Issues in Machine Tools;Putz,2018
2. Thermal Issues in Machine Tools;Mayr;CIRP Annals,2012
3. Design Optimization and Development of CNC Lathe Headstock to Minimize Thermal Deformation;Mori;CIRP Annals,2009
4. A Novel Cooling System to Reduce Thermally-Induced Errors of Machine Tools;Donmez;CIRP Annals,2007
5. An Adaptive Self-Learning Compensation Approach for Thermal Errors on 5-Axis Machine Tools Handling an Arbitrary Set of Sample Rates;Mayr;CIRP Annals,2018
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1. A proposal of models for thermal compensation in machine tools based on a formulation for in-series heat transfer;The International Journal of Advanced Manufacturing Technology;2023-12-19
2. Intelligent digital-twin prediction and reverse control system architecture for thermal errors enabled by deep learning and cloud-edge computing;Expert Systems with Applications;2023-09
3. Cloud-based thermal error compensation with a federated learning approach;Precision Engineering;2023-01
4. Thermal Compensation of Sudden Working Space Condition Changes in Swiss-Type Lathe Machining;Lecture Notes in Production Engineering;2023
5. Mechanical interfaces in machine tools;CIRP Annals;2022
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