Thermal errors account for more than 40% of the machining errors in CNC machine tools. and even reach 70% in precision and ultra-precision machine tools. One approach to reducing thermal errors is to build thermal error prediction models by monitoring the temperature field of machine tools with the data-driven modeling approaches. Usually the data-driven approaches have over-fitting a... https://www.roneverhart.com/Globe-The-All-Time-Black-Rose-35-Kicktail-Longboard/