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OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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Proceedings <strong>of</strong> the National Conference on<br />

Trends and Advances in Mechanical Engineering,<br />

<strong>YMCA</strong> <strong>University</strong> <strong>of</strong> <strong>Science</strong> & <strong>Technology</strong>, Faridabad, Haryana, Oct <strong>19</strong>-<strong>20</strong>, <strong>20</strong>12<br />

7. CONCLUSION<br />

In this study, a automatic robotic arc welding system has been deigned to study the effect <strong>of</strong> welding speed on<br />

the depth <strong>of</strong> penetration and the deepest depth <strong>of</strong> penetration obtained is 4.4 mm at the speed <strong>of</strong> 110.43 mm/min.<br />

Hence it can be concluded that increasing the speed <strong>of</strong> travel and maintaining constant arc voltage and current will<br />

increase penetration but at an optimum speed, penetration will be maximum. The welding torch speed has to be<br />

fixed at this speed to attain maximum penetration otherwise results decrease in penetration. Finally it is<br />

concluded that robotic arc welding system is capable to maintain the arc length and welding speed to get the<br />

weld quality.<br />

REFERENCES<br />

[1] Gunnar Bolmsjo, Magnus Olsson and Per Cederberg “Robotic Arc Welding-Trends and Developments for<br />

Higher Autonomy” Industrial Robot: An International Journal, vol. 29, pp. 98-104, <strong>20</strong>02<br />

[2] K.Luksa and Z.Rymarski “Collection <strong>of</strong> Arc Welding Process Data” , vol. 17, pp. 377-380, <strong>20</strong>06<br />

[3] J.Norberto Pires, T.Godinho and P.Ferreira “CAD Interface for Automatic Robot Welding Programming”<br />

Industrial Robot: An International Journal, vol. 31, pp. 71-76, <strong>20</strong>04<br />

[4]. J. Norberto Pires, A. Loureiro, P. Ferreira, B. Fernando and J. Margado, “Using Object Oriented and<br />

Distributed S<strong>of</strong>tware to Assist Industrial Robot Welding Applications”, Submitted to IEEE Robotics and<br />

Automation Magazine, pp. 1-24, <strong>20</strong>01<br />

[5]. Kailing Li, Ran Liu, Guiheng Bai, Peng Zhang “Development <strong>of</strong> an Intelligent Jig and Fixture Design<br />

System”, pp. 1-5, <strong>20</strong>06<br />

[6]. Xiumei Kang and Qingjin Peng “Recent Research on Computer-Aided Fixture Planning” Recent Patents on<br />

Mechanical Engineering, vol. 2, pp. 8-18, <strong>20</strong>09<br />

[7]. Ai-Min Li, Chuan-Hui Zhang, Hai-Lin Li, Zhi-Yang Xu, Xiao-Hui Chen, Guang-Le Qin, Sheng-Wei Ye,<br />

“Design <strong>of</strong> Automatic Welding Machine Based on PLC”, Fourth International Conference on Intelligent<br />

Computation <strong>Technology</strong> and Automation, <strong>20</strong>11, pp. 627-630, <strong>20</strong>11<br />

[8] S.P. Tiwari, Ankur Gupta, Jyoti Prakash, “Effect <strong>of</strong> Welding Parameters on the Weldability <strong>of</strong> Material”,<br />

International journal <strong>of</strong> Engineering <strong>Science</strong> and <strong>Technology</strong>, vol. 2(4), pp. 512-516, <strong>20</strong>10<br />

[9] Brent L. Adams et al., “Metallography and Microstructures” ASM International Publication, Vol. 9, <strong>20</strong>04.<br />

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