Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for determining optimal particle size of second phase of AgSnO2 contact material based on fuzzy comprehensive evaluation

A technology of fuzzy comprehensive evaluation and contact material, applied in the direction of instruments, data processing applications, prediction, etc., can solve the problems of no quantification, evaluation and determination, no objective specific data examples, etc.

Pending Publication Date: 2018-06-22
HEBEI UNIV OF TECH
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] CN106841545A "Tea sensory quality evaluation method based on improved fuzzy comprehensive evaluation method" uses improved fuzzy comprehensive evaluation to evaluate tea sensory quality, but the weighting method only uses the AHP of improved triangular fuzzy numbers, which is more subjective and cannot Fully reflect the gradual change of the importance of each evaluation element
CN106779276A "A method for risk assessment of heat exchangers using fuzzy comprehensive evaluation method" is to apply the fuzzy comprehensive evaluation method to the risk assessment of heat exchangers, but the membership function is the Cauchy distribution function, and the distribution characteristics of the distribution function determine Therefore, it cannot better reflect the fuzzy relationship between the evaluation elements and evaluation levels of contact materials after normalization, so it cannot be applied to the performance evaluation of contact materials and determine the AgSnO 2 Optimum particle size of the second phase of contact material
CN104200404A "A method for evaluating the state of distribution switches based on fuzzy comprehensive evaluation", which uses principal component analysis to determine the weight of each state quantity and evaluates the state of distribution switches, but the obtained results do not have a clear range and cannot reflect well The location of the comprehensive index, and there are no objective and specific data examples in the specific examples, it is only a qualitative analysis, there is no quantitative result, and there are also limitations that cannot be applied to the performance evaluation of contact materials and determine the AgSnO 2 Optimum particle size of the second phase of contact material
Applying the fuzzy comprehensive evaluation method to the performance evaluation of contact materials and determining the optimal particle size of the second phase has not been described in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for determining optimal particle size of second phase of AgSnO2 contact material based on fuzzy comprehensive evaluation
  • Method for determining optimal particle size of second phase of AgSnO2 contact material based on fuzzy comprehensive evaluation
  • Method for determining optimal particle size of second phase of AgSnO2 contact material based on fuzzy comprehensive evaluation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0134] In this paper, the subjective weight is calculated using the improved analytic hierarchy process. exist figure 1 On the basis of the hierarchical structure of the evaluation elements shown, experts are invited to compare the importance of the four indicators of arcing energy, arcing time, contact resistance and welding force, and establish a comparison matrix A.

[0135]

[0136] Calculate the importance ranking index r of the four evaluation elements i , the calculation results are shown in Table 2:

[0137] Table 2 Importance ranking index table of each evaluation element

[0138]

[0139] Combined with the data in Table 2, the judgment matrix B is calculated

[0140]

[0141] Based on the judgment matrix B, the optimal transfer matrix C is calculated

[0142]

[0143] Then further calculation to get the quasi-optimal consistent matrix D

[0144]

[0145] Calculate the quasi-optimal consistency matrix to obtain the standardized eigenvector Z1=[0.46 0...

Embodiment 2

[0177] The difference is that the oxidant CuO is added, and the rest are the same.

[0178] Subjective weights are not affected by the original data, so in AgSnO 2 The subjective weight vector of each evaluation element in the evaluation process of the / CuO contact material performance remains unchanged: Z=[0.16 0.07 0.03 0.34 0.1 0.2 0.1]

[0179] AgSnO under the condition of different second phase particle size 2 Table 4 shows the test data of each indicator of the / CuO contact material.

[0180] Table 4 AgSnO 2 Raw data of each evaluation element of CuO contact material

[0181]

[0182] to AgSnO 2 The measured actual values ​​of each evaluation element of the / CuO contact material were normalized to obtain a standardized matrix Y.

[0183]

[0184] The calculated entropy value of each evaluation element is:

[0185] H=[0.88 0.88 0.88 0.84 0.89 0.84 0.82]

[0186] The entropy weight (objective weight vector) of each evaluation element is calculated as:

[0187...

Embodiment 3

[0207] The difference is that the additive Bi 2 o 3 , and the rest are the same.

[0208] Subjective weights are not affected by the original data, so in AgSnO 2 / Bi 2 o 3 The subjective weight vector of each evaluation element of contact material performance is: Z=[0.16 0.07 0.03 0.34 0.1 0.2 0.1]

[0209] AgSnO under the condition of different second phase particle size 2 / Bi 2 o 3 The test data of various indicators of the contact material are shown in Table 5.

[0210] Table 5 AgSnO 2 / Bi 2 o 3 Raw data of each evaluation element of contact material

[0211]

[0212] to AgSnO 2 / Bi 2 o 3 The measured actual values ​​of each evaluation element of the contact material are normalized to obtain a standardized matrix Y.

[0213]

[0214] The calculated entropy value of each evaluation element is:

[0215] H=[0.86 0.83 0.88 0.8 0.87 0.88 0.88]

[0216] The entropy weight (objective weight vector) of each evaluation element is calculated as:

[0217] E=[0.14...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for determining the optimal particle size of a second phase of AgSnO2 contact material based on fuzzy comprehensive evaluation, which applies the fuzzy comprehensiveevaluation to the performance evaluation of AgSnO2 contact material and determines the optimal particle size of the second phase, quantitatively analyze the performance of AgSnO2 contact material, soas to obtain a more intuitive and specific and clear overall evaluation. The objects to be evaluated are sequenced to select an optimal object, then the purpose of selecting the optimal value of the second phase granularity in the AgSnO2 contact material can be achieved, which reflects the working performance of the AgSnO2 contact material more accurately. By adopting the idea of combining the subjective weight and the objective weight obtained by the modified hierarchical analysis method and using Lagrange multiplier optimization method to calculate the combined weight of each evaluation element, the subjectivity of the weight calculation is sufficiently reduced and the information contained in the original data is excavated, so that the determination of the weight of each index is more accurate, and the performance of AgSnO2 contact material under different second phase granularity conditions is comprehensively evaluated.

Description

technical field [0001] The present invention relates to the determination of AgSnO 2 The method for the optimal particle size of the second phase of the contact material, specifically based on fuzzy comprehensive evaluation of AgSnO 2 contact materials for performance evaluation and identified AgSnO 2 A method for optimal particle size of the second phase of contact material. Background technique [0002] 70% of the failures in low-voltage switching appliances are caused by electrical contact failures, and the failure of electrical contacts is the main cause of electrical contact failures. AgSnO 2 The contact material is a new type of environmentally friendly contact material with wide application prospects, but AgSnO 2 The contact material has shortcomings such as large contact resistance, high temperature rise, high hardness, and difficulty in processing and forming. This is mainly due to the SnO 2 High hardness and poor electrical conductivity lead to a larger resis...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/06393
Inventor 王海涛王连峥梁磊王景芹朱艳彩
Owner HEBEI UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com