Numerical control machine tool generalized space cutting stability prediction and optimization method

Abstract

The present invention relates to a numerical control machine tool generalized space cutting stability prediction and optimization method, belonging to the numerical control machine tool field. Known sample information is constructed, an approximate function relation of least limit cutting depth, which is a cutting stability characteristic index, and machine tool space position coordinates is established based on the Kriging method to predict a cutting stability space evolution rule, the improved particle swarm optimization is employed to determine the processing position having the least limit cutting depth maximum value, a cutting experiment is employed to determine a machine tool easy flutter mode so as to determine a machine tool weak joint portion based on the energy distribution theory, a joint portion dynamic stiffness optimization configuration scheme is provided to improve the least limit cutting depth value, predict the cutting stability space differentiation features and enlarge the stability region selection range. The deficiency is made up that a traditional space cutting stability analysis neglects correlation characteristics of a variable in a processing space to form an optimal processing position scheme on this basis so as to obtain the optimal cutting parameter scheme of the processing space.

Description

technical field [0001] The invention belongs to the field of numerical control machine tools, and relates to a method for predicting and optimizing cutting stability in a generalized space of a numerical control machine tool. Background technique [0002] Chatter instability in the cutting process is a key factor limiting the realization of high-speed, high-efficiency and high-precision machining of CNC machine tools. In order to avoid flutter instability in the machining process, researchers have proposed a variety of effective methods, the most commonly used of which is to draw the cutting stability lobe diagram, by selecting the appropriate processing parameters such as spindle speed and cutting depth to meet the stable cutting conditions. At present, the chatter model solution method is mainly used to obtain stable cutting conditions. This method must be based on the cutting stability algorithm, and it is necessary to obtain the structural dynamic characteristics of th...

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Problems solved by technology

In the existing analytical method, when establishing the mathematical prediction model describing the relationship between the cutting stability of the CNC machine tool and the position and attitude, the spatial correlation of the sample data is not considered, which leads to false interpretation of the analysis of the spatial data and reduces the cutting stability prediction. At the same time, there is no further discussion on the optimal method of machining position, resulting in the predicted cutting parameters not having the optimality of the machining space, wasting the actual cutting capacity of the machine tool

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