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What is Intelligent Thermal Error Sensing in CNC Spindles about?

This paper proposes an intelligent sensing method for detecting thermal errors in CNC machine tool spindles by integrating multi-source information, including temperature, thermal deformation, and operating parameters. The method utilizes a radial basis function neural network for feature integration, achieving high prediction accuracy of up to 99.3% in thermal-error sensing experiments. The research aims to enhance the performance and maintenance of machine tool spindle systems through improved thermal-err

Author

kapilhealthjob

Language

EN