Fracture Characteristics of AISI D2 Tool Steel at Different Tempering Temperatures Using Acoustic Emission and Fuzzy C-Means Clustering

被引：12

作者：

Mohamad, Fotouhi ^{[1
]}

Cevat, Teymuri Sindi ^{[1
]}

Mehdi, Ahmadi ^{[1
]}

Farzad, Pashmforoush ^{[1
]}

机构：

[1] Amirkabir Univ Technol, Dept Mech Engn, Nondestruct Testing Lab, Tehran 15914, Iran

来源：

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2013年 / 38卷 / 08期

关键词：

Acoustic emission; Heat treatments; Failure analysis; Fuzzy C-means clustering; TENSILE DEFORMATION; FAILURE; BEHAVIOR; TESTS;

D O I：

10.1007/s13369-013-0579-0

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this paper, the effect of tempering on crack propagation and fracture mechanism of a cold-work tool steel is investigated. Acoustic emission (AE) monitoring with fuzzy C-means (FCM) clustering was developed in order to detect the different fracture mechanisms during fracture toughness tests of specimens tempered at 5 different temperatures from 0 to 575 A degrees C. The obtained AE signals were analyzed by considering AE parameters such as amplitude, count, frequency, energy, and classified using FCM. Scanning electron microscopy (SEM) observation was also used to determine the different fracture mechanisms. The results show that the AE characteristics and FCM classification are efficient tools in the analysis of AE signals to detect fracture mechanism, and there is a good agreement with the results of these tools and microscopic observation by SEM.

引用

页码：2205 / 2217

页数：13

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