Evaluation method for dynamic characteristic decay of numerically-controlled machine tool

Abstract

The invention provides an evaluation method for dynamic characteristic decay of a numerically-controlled machine tool. The evaluation method is characterized by comprising the following steps: step 1, obtaining the characteristic data sequence of certain characteristic points of the numerically-controlled machine tool at an initial time k0 as a reference characteristic data sequence X0; step 2, obtaining the characteristic data sequence of the certain characteristic points at a to-be-tested time Ki as a comparison characteristic data sequence Xi; step 3, computing the Minkowski close degree Ni of the X0 and Xi; step 4, evaluating the dynamic characteristic decay of the numerically-controlled machine tool on the basis of the value of the Ni. According to the evaluation method for the dynamic characteristic decay of the numerically-controlled machine tool, the dynamic characteristic decay degree of the numerically-controlled machine tool can be visually and quantitatively displayed through Ni, and the evaluation method is simple, easy, accurate and reliable, and is suitable for popularization and application in workshops of plants.

Description

technical field [0001] The invention relates to a fuzzy evaluation technology for the decay of dynamic characteristics of a numerical control machine tool, in particular to a method for evaluating the decay of dynamic characteristics of a numerical control machine tool based on Minkowski closeness. Background technique [0002] CNC machine tool is a typical complex electromechanical coupling system, and its dynamic performance is a comprehensive performance of the dynamic characteristics of the machine tool structure, joint surface, spindle, servo feed system and cutting technology and other subsystems. Dynamic characteristics are an important technical index to evaluate the performance of CNC machine tools. It is closely related to the machining performance of the machine tool and directly affects the machining quality, machining accuracy and cutting efficiency of the machine tool. During the use of the machine tool, with the wear of bearings, transmission gears, lead screw...

AI Technical Summary

Problems solved by technology

The theoretical analysis method establishes the dynamic model of the machine tool by abstracting and simplifying the structure of the parts, so as to analyze the dynamic characteristics of the machine tool. Due to the complexity and uncertainty of the factors, it is difficult for the theoretical model to truly simulate the actual situation of the machine tool, so the accuracy of the theoretical analysis method is low

The experimental test method obtains the dynamic characteristic parameters of the machine tool through the modal test of the machine tool. However, it is difficult to calculate the environmental interference signal during the modal test, and the test equipment is expensive.

The method of combining theoretical analysis and experimental testing establishes the dynamic model of the machine tool structure, and uses the modal data obtained from the experimental test to correct the theoretical model, so that the corrected theoretical model can accurately simulate the actual situation of the machine tool. This method can improve the dynamics of the machine tool. The theoretical analysis accuracy of the characteristics, but the steps are more complicated and cumbersome

[0004] The above three methods obtain the dynamic characteristic parameters of the machine tool in different ways, but all of them can only qualitatively evaluate the dynamic characteristics of the CNC machine tool. At present, there is still no effective method for quantitatively evaluating the decay of the dynamic characteristic of the CNC machine tool.

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