Application of Multivariate Fuzzy Pattern Recognition in Grading of Carbides in Tool Steels

Li Angui; Liu Guoquan; Zu Kejun; Ceng Qingli

doi:10.13374/j.issn1001-053x.1994.02.010

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Li Angui, Liu Guoquan, Zu Kejun, Ceng Qingli. Application of Multivariate Fuzzy Pattern Recognition in Grading of Carbides in Tool Steels[J]. Chinese Journal of Engineering, 1994, 16(2): 144-147. doi: 10.13374/j.issn1001-053x.1994.02.010

Citation:

Li Angui, Liu Guoquan, Zu Kejun, Ceng Qingli. Application of Multivariate Fuzzy Pattern Recognition in Grading of Carbides in Tool Steels[J]. Chinese Journal of Engineering, 1994, 16(2): 144-147. doi: 10.13374/j.issn1001-053x.1994.02.010

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Application of Multivariate Fuzzy Pattern Recognition in Grading of Carbides in Tool Steels

doi: 10.13374/j.issn1001-053x.1994.02.010

1. Department of Mathematics and Mechanics, USTB, Beijing 100083, PRC;
2. Department of Materials Science and Engineering;
3. National Key Lab of New Metallic Materials;
4. Beijing United University, College of Electricity

Received Date: 1993-06-17
Available Online: 2021-11-13

Abstract

Abstract

In this paper, how to use membership function to describe the non-uniformity of carbides in alloy tool steels are studied.A method for carbide grading has been proposed and tested by a calculation experiment.
- carbides,
- fuzzy pattern recognition,
- membership function/carbide grading