A Prediction Method of Thermal Deformation of Spindle Assembly Based on Real-time Data of CNC Machine Tool

Abstract

The invention belongs to the thermal deformation prediction correlation technology field and discloses a main shaft component thermal deformation prediction method based on numerical-control machine-tool real-time data. The method comprises the following steps of (1) operating and testing a G code program by a numerical-control machine tool, simultaneously collecting a thermal deformation amount of a main shaft component, a current of a main shaft, a speed and a displacement signal during a processing process in real time, and according to collected real-time data, calculating a relation of the thermal deformation amount, and the current of the main shaft, the speed and the displacement signal so as to establish a thermal deformation prediction model; (2) setting a heat error compensation value adjusting coefficient so as to adjust a thermal deformation prediction model; and (3) putting the collected and real-time current of the main shaft, the speed and the displacement into the thermal deformation model so as to predict a corresponding thermal deformation amount. By using the main shaft component thermal deformation prediction method, design and prediction cost is reduced, prediction precision is increased, flexibility is high and versatility is good.

Description

technical field [0001] The invention belongs to the technical field related to thermal deformation prediction, and more specifically relates to a method for predicting thermal deformation of a spindle assembly based on real-time data of a numerically controlled machine tool, and is especially suitable for a machine tool without a temperature sensor. Background technique [0002] When processing products, the spindle of the small drilling and tapping center rotates at high speed, generating a large amount of heat, which leads to serious thermal deformation of the spindle assembly; the deformation is large, with a maximum of more than 0.12mm; the heat balance time is long, and the average heat-up time is 120 minutes; In view of the above problems, there are mainly the following solutions at this stage: [0003] (1) Improve the cooling system and increase the heat dissipation rate. Improve the external circulation oil-water cooling system of the built-in motor, reasonably sele...

AI Technical Summary

Problems solved by technology

When using this compensation method, the processing time of each part is required to be long, otherwise the error of the predicted thermal deformation of the spindle assembly will increase due to the long stop time of the spindle, and the generality of this compensation method is poor, different The processing program needs to establish different compensation models

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