2023
DOI: 10.1016/j.engfailanal.2023.107587
|View full text |Cite
|
Sign up to set email alerts
|

Methods for evaluating fracture patterns of polycrystalline materials based on the parameter analysis of ductile separation dimples: A review

Pavlo Maruschak,
Ihor Konovalenko,
Andrii Sorochak
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 19 publications
(4 citation statements)
references
References 69 publications
0
4
0
Order By: Relevance
“…Such an approach would make it possible to quantify the degree of degradation of steels after their long-term operation based on the quantitative analysis of fractographic digital images of fractures of steel specimens in the initial state and after long-term operation [60]. However, its implementation is impossible without the use of computer processing of fractographic digital images.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Such an approach would make it possible to quantify the degree of degradation of steels after their long-term operation based on the quantitative analysis of fractographic digital images of fractures of steel specimens in the initial state and after long-term operation [60]. However, its implementation is impossible without the use of computer processing of fractographic digital images.…”
Section: Discussionmentioning
confidence: 99%
“…Based on even a cursory analysis of the traditional dimple relief of the specimens, it was suggested that both the degradation and hydrogenation of WM can contribute to the separation from the matrix of not only large inclusions but also small ones, leaving only their traces at the bottom of the dimples. This was evidenced by some discrepancy between the number of inclusions and their traces at the bottom of the dimples, observed on Such an approach would make it possible to quantify the degree of degradation of steels after their long-term operation based on the quantitative analysis of fractographic digital images of fractures of steel specimens in the initial state and after long-term operation [60]. However, its implementation is impossible without the use of computer processing of fractographic digital images.…”
Section: Fractographic Features Induced By Operational Degradation An...mentioning
confidence: 99%
“…The data science approaches including a convolutional neural network (CNN) and persistent homology (PH) have been applied to the image analyses [46][47][48][49][50][51][52]. A CNN can be used for segmenting or annotating images [46] and predicting the properties related to the images [47].…”
Section: Introductionmentioning
confidence: 99%
“…The data science approaches including a convolutional neural network (CNN) and persistent homology (PH) have been applied to the image analyses [46][47][48][49][50][51][52]. A CNN can be used for segmenting or annotating images [46] and predicting the properties related to the images [47]. In addition, gradient-weighted class activation mapping (Grad-CAM) has been used for explaining the CNN predictions with low interpretability [48].…”
Section: Introductionmentioning
confidence: 99%