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Quantitative damage evaluation of LY225 steel under monotonic tensile loading based on acoustic emission entropy
Abstract The purpose of this paper is to establish a quantitative relationship between acoustic emission (AE) signal acquisition data and the void growth model (VGM) of low yield point steel LY225 under monotonic tensile loading, to realize the real-time evaluation of plastic damage and the prediction of ductile fracture of materials. A series of material tests, finite element analysis and scanning electron microscope (SEM) tests were carried out to calibrate the VGM fracture parameters of LY225 steel, including the characteristic length l ∗ and the critical value of VGI. It is found that the AE signals under monotonic tensile loading have a prominent two-stage characteristic and the cumulative AE entropy of AE signals in LY225 steel is proportional to the volume of material involved with plastic deformation. Then a bilinear function model between cumulative AE entropy and void growth index VGI is proposed and calibrated with monotonic tensile test results from a set of standard rectangular section specimens, and the effectiveness of the proposed model in more complex stress and strain state is verified by tests of a set of variable cross-section flat specimens.
Graphical abstract Display Omitted
Highlights VGM fracture parameters of LY225 steel are calibrated. A quantitative damage evaluation method of LY225 steel based on AE monitoring technology is proposed. A bilinear model between cumulative AE entropy and void growth index VGI is established. The proposed model can be used in quantitative damage evaluation and ductile fracture prediction. The effectiveness of the model in more complex stress and strain state is verified by a series of tests.
Quantitative damage evaluation of LY225 steel under monotonic tensile loading based on acoustic emission entropy
Abstract The purpose of this paper is to establish a quantitative relationship between acoustic emission (AE) signal acquisition data and the void growth model (VGM) of low yield point steel LY225 under monotonic tensile loading, to realize the real-time evaluation of plastic damage and the prediction of ductile fracture of materials. A series of material tests, finite element analysis and scanning electron microscope (SEM) tests were carried out to calibrate the VGM fracture parameters of LY225 steel, including the characteristic length l ∗ and the critical value of VGI. It is found that the AE signals under monotonic tensile loading have a prominent two-stage characteristic and the cumulative AE entropy of AE signals in LY225 steel is proportional to the volume of material involved with plastic deformation. Then a bilinear function model between cumulative AE entropy and void growth index VGI is proposed and calibrated with monotonic tensile test results from a set of standard rectangular section specimens, and the effectiveness of the proposed model in more complex stress and strain state is verified by tests of a set of variable cross-section flat specimens.
Graphical abstract Display Omitted
Highlights VGM fracture parameters of LY225 steel are calibrated. A quantitative damage evaluation method of LY225 steel based on AE monitoring technology is proposed. A bilinear model between cumulative AE entropy and void growth index VGI is established. The proposed model can be used in quantitative damage evaluation and ductile fracture prediction. The effectiveness of the model in more complex stress and strain state is verified by a series of tests.
Quantitative damage evaluation of LY225 steel under monotonic tensile loading based on acoustic emission entropy
Sun, Feifei (author) / Xiao, Ben (author) / Zhang, Yunfeng (author)
2021-07-11
Article (Journal)
Electronic Resource
English
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