Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Fracture Vol. 17, No. 63 (2023)

Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process

Author and affiliation details
  • Akshansh Mishra Corresponding author School of Industrial and Information Engineering, Politecnico di Milano, Milan, Italy ORCID iD0000-0003-4939-359X akshansh.mishra@mail.polimi.it
  • Vijaykumar S Jatti Department of Mechanical Engineering, Symbiosis Institute of Technology, Pune, India ORCID iD0000-0001-7949-2551
  • Nitin K Khedkar Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune 412115, India
  • Rahul B. Dhabale Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune 412115, India
  • Ashwini V Jatti Symbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune 412115, India
DOI
10.3221/IGF-ESIS.63.18
Pages
234-245
Published
Licence
CC BY 4.0
Published inVol. 17, No. 63 (2023)Go to the issue

Abstract

A variant of neural network for processing with images is a convolutional neural network (CNN). This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the classification, detection, and many other tasks. In the present work, U-Net convolutional neural network is implemented on Jupyter platform by using Python programming for fracture surface image segmentation in Oil Hardening Non-Shrinking (OHNS) die steel after the machining process. The results showed that the fracture cracks can be validated by testing with higher accuracy.

Keywords

Article history

  1. ReceivedUntil the next stage: 29 days
  2. RevisedUntil the next stage: 3 days
  3. AcceptedUntil the next stage: 19 days
  4. Published

How to cite

APA

Mishra, A., S Jatti, V., K Khedkar, N., B. Dhabale, R., & V Jatti, A. (2022). Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process. Fracture and Structural Integrity, 17(63), 234–245. https://doi.org/10.3221/IGF-ESIS.63.18

IEEE

A. Mishra, V. S Jatti, N. K Khedkar, R. B. Dhabale, and A. V Jatti, “Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process,” Fracture and Structural Integrity, vol. 17, no. 63, pp. 234–245, 2022, doi: 10.3221/IGF-ESIS.63.18.

MLA

Mishra, Akshansh, et al. “Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process.” Fracture and Structural Integrity, vol. 17, no. 63, 2022, pp. 234–245. https://doi.org/10.3221/IGF-ESIS.63.18.

Chicago

Mishra, Akshansh, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, and Ashwini V Jatti. 2022. “Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process.” Fracture and Structural Integrity 17 (63): 234–245. https://doi.org/10.3221/IGF-ESIS.63.18.

Harvard

Mishra, A., S Jatti, V., K Khedkar, N., B. Dhabale, R. and V Jatti, A. (2022) ‘Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process’, Fracture and Structural Integrity, 17(63), pp. 234–245. doi: 10.3221/IGF-ESIS.63.18.

Vancouver

Mishra A, S Jatti V, K Khedkar N, B. Dhabale R, V Jatti A. Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process. Fracture and Structural Integrity. 2022;17(63):234-245. doi:10.3221/IGF-ESIS.63.18

BibTeX

@article{mishra2022, author = {Mishra, Akshansh and S Jatti, Vijaykumar and K Khedkar, Nitin and B. Dhabale, Rahul and V Jatti, Ashwini}, title = {Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process}, journal = {Fracture and Structural Integrity}, year = {2022}, volume = {17}, number = {63}, pages = {234--245}, doi = {10.3221/IGF-ESIS.63.18}, url = {https://doi.org/10.3221/IGF-ESIS.63.18}, issn = {1971-8993} }

RIS

TY - JOUR AU - Mishra, Akshansh AU - S Jatti, Vijaykumar AU - K Khedkar, Nitin AU - B. Dhabale, Rahul AU - V Jatti, Ashwini TI - Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2022 DA - 2022/12/21 VL - 17 IS - 63 SP - 234 EP - 245 DO - 10.3221/IGF-ESIS.63.18 UR - https://doi.org/10.3221/IGF-ESIS.63.18 SN - 1971-8993 ER -

Licence

Creative Commons Attribution 4.0 International

May be shared and adapted, provided appropriate credit is given. Copyright © 2022 Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti.

Copyright 
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.  

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