英文摘要 |
In general, CNC machine tools aim at achieving high speed and high precision. There are many factors in affecting machining accuracy and the influence of thermal displacement accounts for more than 50% of the overall errors. Therefore, predicting thermal displacement with compensation algorithm becomes one of the important factors for high precision of machine tools. This paper first measures the temperature changes of each casting components and the relative displacement between the tool tip point and the platform under different spindle speed conditions. Then a sorting and screening mechanism of the thermometer is established to determine the key temperature measurement points. Finally, the thermal displacement compensation model of the machine spindle is developed by using the neural network. It is used to verify the thermometer sequencing and screening mechanism established in this paper, and it is proved that the mechanism can improve the prediction accuracy of the thermal displacement compensation model. |