Evaluation of condition of low-carbon steels experiencing plastic deformation using the effect of acoustic birefringence

Mishakin, V. V.; Гончар, А. В.; Kirikov, S. V.; Klyushnikov, V. A.

doi:10.1080/10589759.2020.1728266

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Therefore, defects (dislocations, disclinations, mesodefects, etc. ), formed in the volume of material, have a predominant orientation and affect the propagation velocity of shear bulk waves 37 . We assume that the development of such predominantly oriented defects caused the monotonic decrease in acoustic birefringence.…”

Section: Discussionmentioning

confidence: 99%

“…In principle, changes in acoustic birefringence can result from several different physical phenomena: texture evolution due to plastic deformation, 30,31,33,34,37,41,[46][47][48] applied or residual stresses, 41,46-48 phase transformation, 27 and formation of oriented defects. 30,48 With regard to this study, we are guided by the following considerations.…”

Section: Acoustic Birefringence Measurementsmentioning

confidence: 99%

“…To date, several different techniques have been developed for assessing fatigue microstructural damage of metal using ultrasonic bulk waves. 8,[22][23][24][25][26][27] It also seems promising to use the well-known acoustic birefringence technique, which has already been successfully applied to monitor metal degradation during plastic deformation [28][29][30][31][32][33][34][35][36][37] and creep. 29,30,34 The acoustic birefringence technique has several engineering advantages.…”

Section: Introductionmentioning

confidence: 99%

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Fatigue life prediction of structural steel using acoustic birefringence and characteristics of persistent slip bands

Гончар

Kurashkin

Andreeva

et al. 2021

Fatigue Fract Eng Mat Struct

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Nondestructive evaluation methods provide additional information about the material fatigue behavior and enhance the comprehension of damage evolution thanks to relationship between microstructure and physical properties. This paper deals with optical and ultrasonic investigations of structural steel specimens tested for low-cycle fatigue. The development of persistent slip bands observed on the surface with an optical microscope was quantified using a previously trained neural network and fractal analysis. A surface damage parameter was defined as the ratio of total area of detected slip bands to the area of observed surface. Relationships between the rate of change and critical value of the damage parameter, the strain range, and the fatigue life were established. A single square relationship between relative number of cycles and ratio of the surface damage parameter to its critical value was obtained.Acoustic birefringence was measured by the echo method. The effect of the strain range on the rate of change in acoustic birefringence was investigated. A single linear relationship between relative number of cycles and change in acoustic birefringence was established. An algorithm for predicting the material remaining life, combining optical and ultrasonic data, was proposed.

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Section: Discussionmentioning

confidence: 99%