Thin-walled workpiece cutter back-off deformation error prediction model building method and application thereof

Abstract

The invention discloses a thin-walled workpiece cutter back-off deformation error prediction model building method and application thereof, and belongs to the field of machining error prediction, and the method comprises the steps: building a cutting force model through a finite element analysis method, and taking cutter parameters, machining process parameters and material cutting force parameters of an actual production line under different machining conditions as the input of the cutting force model; outputting cutting force and cutter back-off deformation errors corresponding to each group of parameters to obtain a training data set; obtaining cutting force and corresponding cutter back-off deformation errors of multiple sets of machining sites, and obtaining a test data set; adding a data enhancement module between an input layer and a first hidden layer of the neural network, and establishing a small sample learning model for predicting a cutter relieving deformation error according to the cutting force; and training and testing the small sample learning model by using the training data set and the test data set respectively to obtain a thin-walled workpiece cutter back-off deformation error prediction model. The prediction precision of the cutter back-off deformation error in the thin-walled workpiece machining process can be improved.

Description

technical field

[0001] The invention belongs to the field of machining error prediction, and more specifically relates to a method for establishing a thin-walled part tooling deformation error prediction model and its application. Background technique

[0002] During the processing of thin-walled parts, there is a significant nonlinear relationship between the deformation error of the cutting tool and various measurable signals such as cutting force signals and vibration signals. Thin-walled components are widely used in the aerospace field. There are many types of products and fast replacement, which puts forward a high demand for rapid response in the processing process. The service performance of thin-walled parts depends largely on the level of machining accuracy. Most aerospace parts belong to free-form surfaces in space and are made of difficult-to-machine materials. The processing relies on multi-axis linkage CNC machine tools. The load is large during the cutting pr...

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