Performance of non-destructive evaluation by diffracted SH ultrasonic waves in predicting degree of fatigue in cyclic bending of ferritic steel

Mikio Fukuhara; Yoshiyuki Kuwano; Kiyoshi Saito; Taiji Hirasawa; Ichiro Komura

doi:10.1016/S0963-8695(97)00041-8

Performance of non-destructive evaluation by diffracted SH ultrasonic waves in predicting degree of fatigue in cyclic bending of ferritic steel

Mikio Fukuhara, Yoshiyuki Kuwano, Kiyoshi Saito, Taiji Hirasawa, Ichiro Komura

New Industry Creation Hatchery Center (NICHe)

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

The degree of fatigue in ferritic wrought steel during cyclic bending was determined by anaylsis of diffracted SH ultrasonic waves with the aid of multiple regression analysis. As the degree of fatigue increases, accompanied by residual stress, the incident waves curve to the interior region with positive stress field owing to the acoustoelastic effect. As a result, the propagation time of the launched waves lengthens, leading to a modulation of the received waveform. Multiple regression analysis for the waveform modulation produces a reliable estimation, with correlation coefficient of 0.948, for the degree of fatigue.

Original language	English
Pages (from-to)	211-216
Number of pages	6
Journal	NDT and E International
Volume	31
Issue number	3
DOIs	https://doi.org/10.1016/S0963-8695(97)00041-8
Publication status	Published - 1998 Jun

Keywords

Fatigue prediction
Ferritic steel
SH ultrasonic waves

ASJC Scopus subject areas

Materials Science(all)
Condensed Matter Physics
Mechanical Engineering

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10.1016/S0963-8695(97)00041-8

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title = "Performance of non-destructive evaluation by diffracted SH ultrasonic waves in predicting degree of fatigue in cyclic bending of ferritic steel",

abstract = "The degree of fatigue in ferritic wrought steel during cyclic bending was determined by anaylsis of diffracted SH ultrasonic waves with the aid of multiple regression analysis. As the degree of fatigue increases, accompanied by residual stress, the incident waves curve to the interior region with positive stress field owing to the acoustoelastic effect. As a result, the propagation time of the launched waves lengthens, leading to a modulation of the received waveform. Multiple regression analysis for the waveform modulation produces a reliable estimation, with correlation coefficient of 0.948, for the degree of fatigue.",

keywords = "Fatigue prediction, Ferritic steel, SH ultrasonic waves",

author = "Mikio Fukuhara and Yoshiyuki Kuwano and Kiyoshi Saito and Taiji Hirasawa and Ichiro Komura",

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T1 - Performance of non-destructive evaluation by diffracted SH ultrasonic waves in predicting degree of fatigue in cyclic bending of ferritic steel

AU - Fukuhara, Mikio

AU - Kuwano, Yoshiyuki

AU - Saito, Kiyoshi

AU - Hirasawa, Taiji

AU - Komura, Ichiro

PY - 1998/6

Y1 - 1998/6

N2 - The degree of fatigue in ferritic wrought steel during cyclic bending was determined by anaylsis of diffracted SH ultrasonic waves with the aid of multiple regression analysis. As the degree of fatigue increases, accompanied by residual stress, the incident waves curve to the interior region with positive stress field owing to the acoustoelastic effect. As a result, the propagation time of the launched waves lengthens, leading to a modulation of the received waveform. Multiple regression analysis for the waveform modulation produces a reliable estimation, with correlation coefficient of 0.948, for the degree of fatigue.

AB - The degree of fatigue in ferritic wrought steel during cyclic bending was determined by anaylsis of diffracted SH ultrasonic waves with the aid of multiple regression analysis. As the degree of fatigue increases, accompanied by residual stress, the incident waves curve to the interior region with positive stress field owing to the acoustoelastic effect. As a result, the propagation time of the launched waves lengthens, leading to a modulation of the received waveform. Multiple regression analysis for the waveform modulation produces a reliable estimation, with correlation coefficient of 0.948, for the degree of fatigue.

KW - Fatigue prediction

KW - Ferritic steel

KW - SH ultrasonic waves

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Performance of non-destructive evaluation by diffracted SH ultrasonic waves in predicting degree of fatigue in cyclic bending of ferritic steel

Abstract

Keywords

ASJC Scopus subject areas

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