UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRCJ06148


Registration ID:
211183

Page Number

700-705

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Title

Evaluation of Interfacial Fractured Surface in Aluminum–Brass Joint by Friction welding process through Image Processing Technique.

Abstract

Welded Interfacial cracks in the friction welding of dissimilar metals are most important aspect for assessment of welding quality and welding strength. Manual inspection of the friction welded joint is purely depends on the skilled operators observations and experience in evaluating porosities, irregularities, cracks, and voids. The defects are traced by manual inspection based on experts experience and knowledge with respect to the combination of two dissimilar metals and their compatibility. In this research, an attempt has been made to apply the effectively technique for image assessment of the welded surface known as Image segmentation technique (IST) in determining the welded surface quality of dissimilar joint by friction welding. The weld bonding quality between dissimilar metals in friction welding is dependent on coefficient of friction between the welding surfaces. In order to explore the capabilities of the image segmentation technique friction welding experiments were conducted with various factors such as Coefficient of friction, Friction time, Friction pressure, speed, Torque of rotating work piece.Experiments were validated with the image processing results and claimed that the proposed image processing technique is an effective method in the assessment of fractured surfaces. Image processing technique is found to be easier in interfacial crack detection, reducing the computation cost, high-speed method with more accuracy in tracing welded defects. This method has a significant improvement in the quantification of fractured surface, crack detection and non-welded areas detectionin terms of segment Pixels at the desired welded region and easy when comparedto conventional detection techniques by using operator's decisions.

Key Words

Friction Welding, Aluminum, Brass, Dissimilar Joint, Image Processing Technique

Cite This Article

"Evaluation of Interfacial Fractured Surface in Aluminum–Brass Joint by Friction welding process through Image Processing Technique.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.700-705, May-2019, Available :http://www.jetir.org/papers/JETIRCJ06148.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Evaluation of Interfacial Fractured Surface in Aluminum–Brass Joint by Friction welding process through Image Processing Technique.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp700-705, May-2019, Available at : http://www.jetir.org/papers/JETIRCJ06148.pdf

Publication Details

Published Paper ID: JETIRCJ06148
Registration ID: 211183
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 700-705
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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