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Kinematic Modeling and Simulation of Manipulator for Executing Welding Operations with Arbitrary Weld Joint Profiles

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 396))

Abstract

Current investigation deals with the development of an automated seam tracking methodology for the weld joints accessible in PC motor-assisted style setting. To perform welding operations, an industrial robot has been modeled in the CAD platform with three degrees of freedom. Later, kinematic models have been developed in order to navigate the end effector through the obtained weld seam path. Simulation results for different weld joints show the robustness of the developed methodology.

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References

  1. Ali T. Hasan, A.M.S. Hamouda, N. Ismail, H.M.A.A. Al-Assadi, (2006) An adaptive-learning algorithm to solve the inverse kinematics problem of a 6 D.O.F serial robot manipulator, Advances in Engineering Software, 37(7), pp. 432–438.

    Google Scholar 

  2. Deepak, B. B. V. L., Parhi, D. R., & Raju, B. M. V. A. (2014). Advance particle swarm optimization-based navigational controller for mobile robot. Arabian Journal for Science and Engineering, 39(8), 6477–6487.

    Google Scholar 

  3. Eliot, E., Deepak, B., Parhi, D., & Srinivas, J. (2013), Design & Kinematic Analysis of an Articulated Robotic Manipulator. International Journal of Mechanical and Industrial Engineering, 3(1), 105–108.

    Google Scholar 

  4. Deepak, B. B. V. L., Parhi, D. R., &Jha, A. K. (2011). Kinematic Model of Wheeled Mobile Robots. Int. J. on Recent Trends in Engineering & Technology, 5(04).

    Google Scholar 

  5. Parhi, D. R., & Deepak, B. B. V. L. (2011). Kinematic model of three wheeled mobile robot. Journal of Mechanical Engineering Research, 3(9), 307–318.

    Google Scholar 

  6. Dayal R P, Deepak B, Nayak D, Anand A. (2012), Forward and Inverse Kinematic Models for an Articulated Robotic Manipulator, International Journal of Artificial Intelligence and Computational Research, 4 (2): 103–109.

    Google Scholar 

  7. Bae, K. Y., Lee, T. H., &Ahn, K. C. (2002). An optical sensing system for seam tracking and weld pool control in gas metal arc welding of steel pipe. Journal of Materials Processing Technology, 120(1), 458–465.

    Google Scholar 

  8. Yoo, W. S., & Na, S. J. (2003). Determination of 3-D weld seams in ship blocks using a laser vision sensor and a neural network. Journal of manufacturing systems, 22(4), 340–347.

    Google Scholar 

  9. Deepak, B. B. V. L., Parhi, D. R., & Kundu, S. (2012). Innate immune based path planner of an autonomous mobile robot. Procedia Engineering, 38, 2663–2671.

    Google Scholar 

  10. Deepak, B. B. & Parhi, D. R. (2013, December). Target seeking behaviour of an intelligent mobile robot using advanced particle swarm optimization. In Control, Automation, Robotics and Embedded Systems, 2013 International Conference on (pp. 1–6). IEEE.

    Google Scholar 

  11. E.J Van Henten, J Hemming, B.A.J Van Tuijl, J.G Kornet and J Bontsema, (2003), Collision-free Motion Planning for a Cucumber Picking Robot, Biosystems Engineering, 86(2), pp. 135–144.

    Google Scholar 

  12. Deepak, B. B. & Parhi, D. (2013). Intelligent adaptive immune-based motion planner of a mobile robot in cluttered environment. Intelligent Service Robotics, 6(3), 155–162.

    Google Scholar 

  13. B.B.V.L. Deepak & Dayal R. Parhi (2016), Control of an automated mobile manipulator using artificial immune system, Journal of Experimental & Theoretical Artificial Intelligence, 28:1–2, 417-439.

    Google Scholar 

  14. K.K. Kumar, Dr. A. Srinath, G. J. Anvesh, R. P. Sai and M. Suresh, Kinematic analysis and simulation of 6- DOF KUKAKr5 robot for welding application, International journal of Engineering Research and Applications, Vol. 3, no. 2, 2013, PP. 820–827.

    Google Scholar 

  15. M.V.A. Raju Bahubalendruni, Deepak B B V L Bibhuti Bhusan Biswal, (2016), “An advanced immune based strategy to obtain an optimal feasible assembly sequence”, Assembly Automation, Vol. 36 Iss 2, doi:10.1108/AA-10-2015-086.

    Google Scholar 

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Correspondence to B. B. V. L. Deepak .

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© 2016 Springer India

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Deepak, B.B.V.L., Rao, C.A., Raju, B.M.V.A., Singh, P.K. (2016). Kinematic Modeling and Simulation of Manipulator for Executing Welding Operations with Arbitrary Weld Joint Profiles. In: Lobiyal, D., Mohapatra, D., Nagar, A., Sahoo, M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, vol 396. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3589-7_32

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  • DOI: https://doi.org/10.1007/978-81-322-3589-7_32

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-3587-3

  • Online ISBN: 978-81-322-3589-7

  • eBook Packages: EngineeringEngineering (R0)

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