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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 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| 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: | 000337209 |
| 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 |
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