Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Issue: August 2022

Volume 7 | Issue 8

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Use of Machine Vision Technique to Analyze Friction Stir Weld Bead Surface of AA6082-T6 formed by Scroll shoulder Tool
Authors Name: Dr. R. Rajashekar
Unique Id: IJSDR1902038
Published In: Volume 4 Issue 2, February-2019
Abstract: In Friction Stir Welding (FSW) tool shoulder plays an important role in solid state joining of materials. It interacts with materials to be joined, generating required frictional heat and hydrostatic pressure during welding along weld line. Tool shoulder enables to plasticize and hold the material beneath the shoulder, preventing it to flow out of the weld cavity. In the present investigation the interaction of tool shoulder in forming the friction stir welds of AA6082-T6 using scroll shoulder tool geometry is understood by analyzing the images of weld bead surface using Machine Vision technique. The weld bead surface have arc shaped banded bead texture, which is formed by merging of shoulder-driven material with pin-driven material behind the tool during the weld. The image data acquired via histogram and Gray Level Co-occurrence Matrix (GLCM) as first and second order statistical image parameters quantify the weld bead texture along good and defect weld regions. This enables digital image correlation to assess the weld quality.
Keywords: Friction Stir Welding, Machine Vision, Digital Image Correlation, Statistical Image Parameters, Shoulder Geometry
Cite Article: "Use of Machine Vision Technique to Analyze Friction Stir Weld Bead Surface of AA6082-T6 formed by Scroll shoulder Tool ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 2, page no.234 - 238, February-2019, Available :http://www.ijsdr.org/papers/IJSDR1902038.pdf
Downloads: 000101748
Publication Details: Published Paper ID: IJSDR1902038
Registration ID:190118
Published In: Volume 4 Issue 2, February-2019
DOI (Digital Object Identifier):
Page No: 234 - 238
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner