ISSN2456-3315
Impact Factor10.57
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ESTD2016
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Paper Title
Multi response Optimization of Submerged Arc Welding Process using Taguchi Method
Authors
Dr. Sudipto Chaki , Sunay Kr. Pal
Keywords
submerged arc welding, optimization, Taguchi method, weld bead hardness, weld bead width
Abstract
Submerged arc welding of different grades of steels is widely used in industry. In the present work, an attempt has been made to optimize the weld bead width and weld bead hardness of submerged arc welded joints of mild steel plates using Taguchi Method. Experimentation has been conducted using L9 experimental design where welding current (A), arc voltage (V) and welding speed (m/min) are considered as variable process parameters. Optimised input parameter setting for maximum weld bead hardness and weld bead width are welding current =250 A, Arc Voltage =30V and welding speed = 1.2 m/min respectively. Significant improvement in weld quality has been achieved with optimized parameter setting. Arc voltage is found to affect the weld quality most significantly in the operating range of process parameters.
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How To Cite
"Multi response Optimization of Submerged Arc Welding Process using Taguchi Method ", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.2, Issue 7, page no.1 - 6, June-2017, Available :https://ijrti.org/papers/IJRTI1707001.pdf
Issue
Volume 2 Issue 7,
June-2017
Pages : 1 - 6
Other Publication Details
Paper Reg. ID: IJRTI_170405
Published Paper Id: IJRTI1707001
Downloads: 205,619
Research Area: Engineering
Country: Howrah, West bengal, India
Published Paper PDF: https://ijrti.org/papers/IJRTI1707001
Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI1707001
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ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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