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

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 tas...

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Main Authors: Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti
Format: Article
Language:English
Published: Gruppo Italiano Frattura 2022-12-01
Series:Fracture and Structural Integrity
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Online Access:https://3.64.71.86/index.php/fis/article/view/3955
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author Akshansh Mishra
Vijaykumar S Jatti
Nitin K Khedkar
Rahul B. Dhabale
Ashwini V Jatti
author_facet Akshansh Mishra
Vijaykumar S Jatti
Nitin K Khedkar
Rahul B. Dhabale
Ashwini V Jatti
author_sort Akshansh Mishra
collection DOAJ
description 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.
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institution Kabale University
issn 1971-8993
language English
publishDate 2022-12-01
publisher Gruppo Italiano Frattura
record_format Article
series Fracture and Structural Integrity
spelling doaj-art-50da2c60445d4b218f265978d7530ac12025-01-03T00:39:28ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932022-12-011763Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining processAkshansh Mishra0Vijaykumar S Jatti1Nitin K Khedkar2Rahul B. Dhabale3Ashwini V Jatti4School of Industrial and Information Engineering, Politecnico di Milano, Milan, ItalyDepartment of Mechanical Engineering, Symbiosis Institute of Technology, Pune, IndiaSymbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune 412115, IndiaSymbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune 412115, IndiaSymbiosis Institute of Technology, Symbiosis International (Deemed) University, Pune 412115, India 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. https://3.64.71.86/index.php/fis/article/view/3955Artificial IntelligenceComputer VisionFracture CracksSegmentationU-Net
spellingShingle Akshansh Mishra
Vijaykumar S Jatti
Nitin K Khedkar
Rahul B. Dhabale
Ashwini 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
Artificial Intelligence
Computer Vision
Fracture Cracks
Segmentation
U-Net
title Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process
title_full Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process
title_fullStr Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process
title_full_unstemmed Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process
title_short Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process
title_sort computer vision algorithm for the detection of fracture cracks in oil hardening non shrinking ohns die steel after machining process
topic Artificial Intelligence
Computer Vision
Fracture Cracks
Segmentation
U-Net
url https://3.64.71.86/index.php/fis/article/view/3955
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