An attempt to find an empirical model between Barkhausen noise and stress

被引：4

作者：

Sorsa, Aki ^{[1
]}

Ruusunen, Mika ^{[1
]}

Leiviska, Kauko ^{[1
]}

Santa-aho, Suvi ^{[2
]}

Vippola, Minnamari ^{[2
]}

Lepisto, Toivo ^{[2
]}

机构：

[1] Univ Oulu, Control Engn Lab, POB 4300, FIN-90014 Oulu, Finland

[2] Tampere Univ Technol, Inst Mat Sci, FIN-33101 Tampere, Finland

来源：

INTERNATIONAL CONFERENCE ON RESIDUAL STRESSES 9 (ICRS 9) | 2014年 / 768-769卷

关键词：

Barkhausen noise; elastic stress; empirical model identification; genetic algorithm; RESIDUAL-STRESS; HARDENED STEEL; EMISSION;

D O I：

10.4028/www.scientific.net/MSF.768-769.209

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A nonlinear empirical model between stress and Barkhausen noise is identified in this study. The identification procedure uses a genetic algorithm followed by a Nelder-Mead optimization procedure. The model is identified with the data set where an external load is applied to RAEX400 low alloyed hot-rolled steel samples. The results of the study show that the identified model performs well in stress predictions. The identified model includes three terms which are in accordance with the literature.

引用

页码：209 / +

页数：2

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