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Processing parameter optimization method based on fuzzy entropy weight comprehensive evaluation method-grey correlation analysis method and surface quality evaluation system

A technology for surface quality and evaluation system, applied in manufacturing computing systems, data processing applications, instruments, etc., and can solve problems such as inability to combine and compare applications

Pending Publication Date: 2020-12-18
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

At present, the results obtained by the two methods are still relatively isolated, and it is not yet possible to combine them for comparison and application.

Method used

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  • Processing parameter optimization method based on fuzzy entropy weight comprehensive evaluation method-grey correlation analysis method and surface quality evaluation system
  • Processing parameter optimization method based on fuzzy entropy weight comprehensive evaluation method-grey correlation analysis method and surface quality evaluation system
  • Processing parameter optimization method based on fuzzy entropy weight comprehensive evaluation method-grey correlation analysis method and surface quality evaluation system

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Embodiment 1

[0076] according to figure 1 The flow chart of the present invention method comprises the following steps:

[0077] (1) Establish a surface quality evaluation system index set;

[0078] (2) Construct the evaluation set of the surface quality evaluation system;

[0079] (3) Determination of the membership function of each index of the surface quality evaluation system;

[0080] (4) Establish a single-index fuzzy evaluation matrix for the surface quality evaluation system;

[0081] (5) Using the entropy weight method to calculate the weight set of the surface quality evaluation system;

[0082] (6) Comprehensive evaluation of the surface quality evaluation system;

[0083] (7) Calculate the gray correlation coefficient of each index of the surface quality evaluation system by using the gray relational analysis method based on the membership degree of each index;

[0084] (8) Calculation of the gray correlation degree of each index of the surface quality evaluation system; ...

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Abstract

The invention provides a processing parameter optimization method based on a fuzzy entropy weight comprehensive evaluation method-grey correlation analysis method and a surface quality evaluation system. The processing parameter optimization method comprises the following steps: (1) establishing a surface quality evaluation system index set; (2) constructing a surface quality evaluation system evaluation set; (3) determining a membership function of each index of the surface quality evaluation system; (4) establishing a single-index fuzzy evaluation matrix of the surface quality evaluation system; (5) calculating a surface quality evaluation system weight set by using an entropy weight method; (6) comprehensively evaluating the surface quality evaluation system; (7) calculating a gray correlation coefficient of each index of the surface quality evaluation system by using a gray correlation analysis method based on the membership degree of each index; (8) calculating the grey correlation degree of each index of the surface quality evaluation system; (9) determining an optimal machining parameter combination of the surface quality evaluation system based on the grey correlation degree; and (10) determining an optimal machining parameter combination of the surface quality evaluation system. By means of the optimized machining parameter combination, the surface quality evaluation system can be optimal.

Description

technical field [0001] The invention proposes a processing parameter optimization method based on a fuzzy entropy weight comprehensive evaluation method-gray correlation analysis method and a surface quality evaluation system, which belongs to the technical field of high-efficiency precision processing. Background technique [0002] In the process of high-efficiency precision machining of ultra-high-strength steel, titanium alloy, nickel-based superalloy and other difficult-to-machine materials, the machining parameters are closely related to surface roughness, residual stress, and microhardness. Changes in machining parameters will cause surface roughness, residual stress, and The microhardness changes. The surface roughness, residual stress, and microhardness of difficult-to-machine materials after processing affect the wear resistance of the workpiece, the stability of the workpiece fit, fatigue strength, corrosion resistance, and service life. In order to make the surfa...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/04
CPCG06Q10/04G06Q10/06395G06Q10/06393G06Q50/04Y02P90/30
Inventor 丁文锋刘飞徐九华傅玉灿苏宏华陈燕杨长勇张全利赵正彩殷景飞
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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