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An Insight into the Scope of Implementation of Intelligent Welding in Welding of Titanium
Author(s) -
V.K. Bupesh Raja,
K. Palanikumar,
Puskaraj D. Sonawwanay,
Anurag Sharma,
P. Kumar,
E. V. V. Ramana Murthy,
M. Sairam,
A. V. R. Sundar Kasyap,
S. Krishna Raj
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1969/1/012018
Subject(s) - welding , robot welding , automation , mechanical engineering , electrogas welding , computer science , manufacturing engineering , electric resistance welding , materials science , engineering , gas tungsten arc welding , metallurgy , arc welding
Traditionally welding is considered as an art rather than a science. The quality of the weld is dependent on the skill and intuition of the welder. The welding process is mostly not reliable and labor-intensive. The solution to the problems in welding lies in utilizing intelligent welding techniques where in the selection of weld parameters like voltage, current, speed etc and defect control is done intelligently by the automated welding system. The intelligent welding system shall comprise elements, viz., control system, sensing, design and modeling of process and application of artificial intelligence. The application of intelligent welding system has developed into a new field of automation called as ‘Integrated Computational Welding Engineering (ICWE)’. The welding of titanium and its alloys is predominantly dependent on the skill of the welder. Majority of research and industrial practice is based on the traditional manual welding process and hence it is prone to defects deterioration of metallurgical, mechanical and corrosion properties. There is scope in adopting ICWE in welding of titanium and its alloys.

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