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Articles

Vol. 2 No. 1 (2015)

Intelligent Power Grasp Through Layered Magnetization by A Serial Arm Field Robot Pages

DOI
https://doi.org/10.15377/2409-9694.2015.02.01.1
Submitted
May 10, 2015
Published
10.05.2015

Abstract

Field applications of serial-arm static robotic system for material handling operations pose serious technological challenges under unstructured environments, in contrast to the same in situations with known perspectives of the obstacles therein. The present paper describes the design, analysis and development of a novel magnetic gripper, along with its sensorized peripherals, deployed in a non-coherent unstructured workspace. The prototype gripper was augmented with a four degrees-of-freedom SCARA type industrial robot and the field-unit was programmed to perform the intended operation of handling steel bearing races of various categories round-the-clock. The robotic cell was equipped with multiple sensors, hardware interfaces and safety measures (e.g. electronic light barrier), designed indigenously. The paper also analyses the performance of the magnetic gripper in the field through mathematical model, pertaining to this maiden application of robotics in Indian steel industries.

References

  1. Adly AA, Mayergoyz ID, Gomez R and Burke ER. Computation of magnetic fields in hysteretic media. IEEE Trans Magn 1993; 29: 2380-2382. http://dx.doi.org/10.1109/20.281010
  2. Delta Torre Edward. A preisach Model For Accommodation. IEEE Trans Magn. Sept. 1994; 30(5): 2701-2707. http://dx.doi.org/10.1109/20.312509
  3. Chiampi M, Chiarabaglio D, Repetto M. A Jiles-Atherton and Fixed-Point Combined Technique For Time Periodic Magnetic Field Problems With Hysteresis. IEEE Trans Magn. Nov 1995; 31(6): 4306-4311. http://dx.doi.org/10.1109/20.488295
  4. Guarnieri M, Stella A, Trevison F. A Methodological Analysis of Different Formulations for Solving Inverse Electromagnetic Problems. IEEE Trans Magn 1990; 26(2): 622-625. http://dx.doi.org/10.1109/20.106394
  5. Dlala E, Saitz J and Arkkio A. Inverted and Forward Preisach Models For Numerical Analysis of Electromagnetic Field Problems. IEEE Trans Magn 2006; 42(8): 1963-1973. http://dx.doi.org/10.1109/TMAG.2006.877463
  6. Alotto PG, Girdinio P and Molfino P. A 2-D Finite Element Procedure For Magnetic Analysis Involving Non-linear and Hysteretic Materials. IEEE Trans Magn 1994; 30: 3379-3382. http://dx.doi.org/10.1109/20.312663
  7. Jiles DC and Atherton DL. Theory of ferromagnetic hysteresis. Journal of Magnetism and Magnetic Materials. 1986; 61: 48-60. http://dx.doi.org/10.1016/0304-8853(86)90066-1
  8. Papazov SP and Borshukova VD. Solution of Inverse Problems by Using FEM and Structural Functions. IEEE Trans Magn 1995; 31(6): 4297-4305. http://dx.doi.org/10.1109/20.488294
  9. Peng T, Gu CL, Rosseel K, Vanacken J and Herlach F. Advanced Numerical Simulation of Pulsed Magnets With a Finite Element Method. Measurement Science and Technology.2005; 16: 562-568. http://dx.doi.org/10.1088/0957-0233/16/2/032
  10. Caletka D, Deyhim A, Waterman D, Hunter-Dunn J and Blomqvist KI. FEA of Magnetic Loads on MAX II 46.6mm EPU Girders. Proceedings of the ninth International Conference on Synchrotron Radiation Instrumentation, Daegu, Exco, Korea 2006: 2; paper no. CP#010.
  11. Kildishev AV, Salon SJ, Chari MVK and Kwon OM. Spatial Harmonic Analysis of FEM Results in Mmagnetostatics. IEEE Trans Magn 2003; 39(5) Part 2: 3034-3036.
  12. Chiampi M, Negro A and Tartaglia M. A Finite-Element Method to Compute Three Dimensional Magnetic Field Distribution in Transformer Cores. IEEE Trans Magn 1980; 16: 1413-1419. http://dx.doi.org/10.1109/TMAG.1980.1060882
  13. Chiampi M, Chiarabaglio D and Repetto M. An Accurate Investigation on Numerical Methods for Non-linear Magnetic Field Problems. Journal of Magnetism and Magnetic Materials 1994; 133: 591-595. http://dx.doi.org/10.1016/0304-8853(94)90630-0
  14. Tsukerman I. Symbolic Algebra as a Tool For Understanding Edge Elements. IEEE Trans Magn 2003; 39(3): Part 1: 1111- 1114.
  15. Tonti E. Finite Formulation of Electromagnetic Field. IEEE Trans Magn 2002; 38(2): Part 1: 333-336.
  16. Dittrich R, Schrefl T, Forster H, Suess D, Scholz W, Fidler J et al. Finite Element Simulation of Discrete Media With Granular Structure. IEEE Trans Magn 2002; 38(5): Part 1: 1967-1969.
  17. Jabbar MA, Zhejie Liu and Jing Dong. Time-stepping FiniteElement Analysis For the Dynamic Performance of a Permanent Magnet Synchronous Motor. IEEE Trans Magn 2003; 39(5): Part 2: 2621-2623.
  18. Simkin J and Trowbridge W. Optimization Problems in Electromagnetics. IEEE Trans Magn 1991; 27: 4016-4019. http://dx.doi.org/10.1109/20.104982
  19. Gottvald A, Preis K, Magele C, Biro O and Savini A. Global Optimization Methods for Computational Electromagnetics. IEEE Trans Magn1992; 28(2): 1537-1540. http://dx.doi.org/10.1109/20.123990
  20. Mifune T, Isozaki S, Iwashita T and Shimasaki M. Algebraic Multigrid Preconditioning For 3-D Magnetic Finite-Element Analyses Using Nodal Elements and Edge Elements. IEEE Trans Magn April 2006; 42(4): 635-638. http://dx.doi.org/10.1109/TMAG.2006.871617
  21. Liu Yuanqing and Yuan Jiansheng. A Finite Element Domain Decomposition Combined With Algebraic Multigrid Method For Large-Scale Electromagnetic Field Computation. IEEE Trans Magn. April 2006; 42(4): 655-658. http://dx.doi.org/10.1109/TMAG.2006.872464
  22. Vouvakis MN, Zhao Kezhong and Lee Jin-Fa. Finite-Element Analysis of Infinite Periodic Structures With Nonmatching Triangulations. IEEE Trans Magn 2006; 42(4): 691-694. http://dx.doi.org/10.1109/TMAG.2006.872483
  23. Trlep M, Hamler A, Jesenik M and Stumberger B. The FEMBEM Analysis of Complex Grounding Systems. IEEE Trans Magn 2003; 39(3): Part 1: 1155-1158.
  24. Li Q and Lee KM. An Adaptive Meshless Method For Magnetic Field Computation. IEEE Trans Magn 2006; 42(8): 1996-2003. http://dx.doi.org/10.1109/TMAG.2006.876126
  25. Webb JP. An Estimator For Force Errors in Finite-Element Analysis. IEEE Trans Magn 2003; 39(3): Part 1: 1428-1431.
  26. Fu WN, Zhou P, Lin D, Stanton S and Cendes ZJ. Magnetic Force Computation in Permanent Magnets Using a Local Energy Coordinate Derivative Method. IEEE Trans Magn 2004; 40(2): 683-686. http://dx.doi.org/10.1109/TMAG.2004.824774
  27. Lee I and Goldwasser SM. A Distributed Test Bed For Active Sensory Processing. Proceedings of the IEEE International Conference on Robotics and Automation 1995; 925-930.
  28. Kirubarajan T, Wang H, Bar-Shalom Y and Pattipati KR. Efficient Multisensor Fusion Using Multidimensional Data Association. IEEE Trans Aerospace and Electronic Systems 2001; 37(2): 386-398. http://dx.doi.org/10.1109/7.937457
  29. Kalandros M and Pao LY. Covariance Control for Multisensor Systems. IEEE Trans Aerospace and Electronic Systems 2002; 38(4): 1138-1157. http://dx.doi.org/10.1109/TAES.2002.1145739
  30. Luo RC, Liu MH and Scherp RS. The Issues and Approaches of a Robot Multi-sensor Integration. Proceedings of the IEEE International Conference on Robotics and Automation 1987; 1941-1946.
  31. Thomopoulos SCA. Sensor Integration and Data Fusion. Journal of Robotic Systems 1990; 7(3): 337-372. http://dx.doi.org/10.1002/rob.4620070305
  32. Chen H, Kirubarajan T and Bar-Shalom Y. Performance Limits of Track-to-Track Fusion versus Centralized Estimation: Theory and Application. IEEE Trans Aerospace and Electronic Systems 2003; 39(2): 386-400. http://dx.doi.org/10.1109/TAES.2003.1207252
  33. Chair Z and Varshney PK. Optimal Data Fusion in Multiple Sensor Detection Systems. IEEE Trans Aerospace and Electronic Systems 1986; AES-22(1): 98-101. http://dx.doi.org/10.1109/TAES.1986.310699
  34. Gan Q and Harris CJ. Comparison of Two Measurement Fusion Methods for Kalman-Filter-Based Multisensor Data Fusion. IEEE Trans Aerospace and Electronic Systems 2001; 37(1): 273-280. http://dx.doi.org/10.1109/7.913685
  35. Kaplan LM. Local Node Selection for Localization in a Distributed Sensor Network. IEEE Trans Aerospace and Electronic Systems. January 2006; 42(1): 136-146. http://dx.doi.org/10.1109/TAES.2006.1603410
  36. Roy D and Deb SR. A Stochastic Model and Performance Measure of a Multi-sensory System For Robotized Assembly Operation. Proceedings of the IEEE International Conference on Industrial Automation and Control India 1995: 285-290. http://dx.doi.org/10.1109/IACC.1995.465827
  37. Roy Debanik. A New Approach Towards Performance Measure of a Sensor-Augmented Remote Control System of Robots Aided by Stochastic Model. Proceedings of the International Conference on Knowledge Based Computer Systems ("KBCS-2000"), Mumbai India 2000; 517-528.
  38. Roy Debanik. Modelling and Development of a Sensorintegrated Industrial Robotic System For Handling Steel Bearing Races in an Unstructured Environment. Proceedings of the 17th. All India Manufacturing Technology, Design and Research Conference, Warangal, India 1997; 229-235.
  39. Roy D. Development of a Sensor-augmented Industrial Robotic System For Handling Steel Bearing Races in an Unstructured Environment. Journal of Intelligent and Robotic Systems 2005; 43(1): 55-76. http://dx.doi.org/10.1007/s10846-005-2963-9
  40. Roy D. On The Algorithmic Path Planning of Industrial Robots in a Cluttered Spatial Manifold: A Case Study Using Visibility Map Paradigms. Proceedings of the International Conference on Knowledge Based Computer Systems ("KBCS-2000"), Mumbai, India 2000: 529-541.