industrial engineering
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karali


    Karali Patra, Ph.D., Assistant Professor Department of Mechanical Engineering, Indian Institute of Technology Patna, Patliputra Colony, Patna-800013, India.

    Education:
    - Assistant Professor, Department of Mechanical Engineering, IIT Patna (December 2008- till date);
    - Research associate, Robotics research center, Nanyang Technological University (2007-2008).

    Field of specialization: Manufacturing

    Current research interest: Modeling and simulation in micro-fabrication, tool condition monitoring, smart materials

    Invited talk:
    - Medical Devices for Cancer Treatment, Seminar on Bio-Engineering, IIT Patna, May 31, 2012;
    - Overview of Some Research Activities in IIT Patna: From Micromachining to Robotics Research, Institute for Machining Technology (ISF), TU Dormund, Germany, June 4, 2012;
    - Study on Mechanical and Dielectric Behavior of VHB 4910 for Sensors and Actuators Applications, Chair of Applied Mechanics, University of Erlangen-Nurenberg, Germany, July 3, 2012;
    - Multisensor based intelligent tool condition monitoring in micromachining, Budapest University of Technology and Economics, Budapest, Hungary, September 18, 2014.

    Awards and fellowship:
    - Young scientist project award by DST, India, 2010;
    - DAAD research stay fellowship (May-July, 2012).

    Journal and Conference Review:Institute of Engineers (India) Part C, Journal of Engineering Tribology, International Journal of Advanced Manufacturing Technology, Applied Soft Computing, AIMTDR2010, iNaCoMM 2013.

    Publications in International Journals and Conferences:
    1. K. Patra, S. K. Pal and K. Bhattacharyya, Artificial Neural Network based prediction of Drill Flank Wear from Motor Current Signals, Applied Soft Computing, Vol. 7, pp. 929-935, 2007.
    2. K. Patra, S. K. Pal and K. Bhattacharyya, Application of wavelet packet transform in drill wear monitoring, Machining Science &Technology, Vol. 11, pp. 413-432, 2007.
    3. S. Garg, K. Patra, S. K. Pal, Debabrata Chakrabory, Effect of different basis functions on a radial basis function network in prediction of drill flank wear from motor current signals, Soft computing A Fusion of Foundations, Methodologies and Applications, Vol. 12, No. 8, pp. 777-787, 2008.
    4. K. Patra, K. Bhattacharyya and S. K. Pal, Neural network based prediction of drill wear from theoretically analyzed and experimentally measured values of thrust force and torque, International Journal of Machining and Machinability of Materials, Vol. 5, No. 2/3, pp. 207-231, 2009.
    5. K. Patra, S. K. Pal and K. Bhattacharyya, Application of wavelet packet transform based normalized radial basis function network in a machining process, International Journal of Materials and Product Technology, Vol. 35, No 1-2, pp. 184 198, 2009.
    6. N. Raghavendra, R. Koranne, K. Patra, and S. K. Pal, A neuro ant colony Optimized model for drill wear prediction, International journal for manufacturing science & production, Vol. 10, no. 3-4, pp. 169 -184, 2009.
    7. S. Garg, K. Patra, V. Khetrapal, S. K. Pal, D. Chakraborty, Genetically evolved radial basis function network based prediction of drill flank wear, Engineering Applications of Artificial Intelligence, Vol. 23, pp. 1112-1120, 2010.
    8. K. Patra, S. K. Pal and K. Bhattacharyya, Fuzzy radial basis function (FRBF) network based tool condition monitoring system using vibration signals, Machining Science &Technology Vol. 14, No. 2, pp. 280-300, 2010.
    9. K. Patra, S. K. Pal and K. Bhattacharyya, Strategies for intelligent drill wear prediction using multiple sensor signals, International Journal of Mechatronics and Manufacturing Systems, Vol. 6, No 5-6, pp. 493 512, 2013.
    10. T. Szalay, K. Patra and B. Zs. Farkas, Experimental investigations of tool breakage in micro drilling of EN AW-5083 aluminium, Key Engineering Materials, Vol. 581, pp. 119-124, 2014.
    11. R. S. Anand, K. Patra, M. Steiner, Size Effect in Micro Drilling of Carbon Fiber Reinforced Plastic Composite, Production Engineering Research and Development, Vol. 8, pp. 301-307, 2014.
    12. S. Garg, K. Patra and S. K. Pal, Particle Swarm Optimization of a Neural Network Model in a Machining Process, Sadhana, Vol. 39, No. 3, pp. 533-548, 2014.
    13. R. S. Anand and K. Patra, Modeling and Simulation of Mechanical Micromachining - A Review, Machining Science and Technology, Vol. 18, No. 3, pp. 323-347, 2014.
    14. K. Patra, R. S. Anand, M. Steiner, D. Biermann (2014), Experimental analysis of cutting force in micro-drilling of austenitic stainless steel (X5CrNi18-10), Materials and Manufacturing processes (accepted).
    15. K. Patra, S. K. Pal and K. Bhattacharyya (2006), Drill Wear Monitoring through Current Signature Analysis using Wavelet Packet Transform and Artificial Neural Network, IEEE- ICIT-2006, 15-17 December, 2006, Mumbai, India, pp. 1344-1348.
    16. R., Rajeev, A. Kumar, Patra, K., Pal, S. K., and Samantaray, Arun K., Prediction of drill flank wear using a neuro-GA model, CPIE-2007, NIT Jalandhar, India, 2007.
    17. K. Patra, S. K. Pal and K. Bhattacharyya, Artificial neural network based tool condition monitoring in drilling using vibration signal analysis, ICTACEM, IIT Kharagpur, India, 2007.
    18. K. Patra, S. K. Pal and Kingshook Bhattacharyya, Strategies for Intelligent Tool Wear Prediction in a Machining Process, COMADEM 2010, pp. 623-626, June 28 to July 2, 2010 Nara, Japan.
    19. K. Patra, Acoustic Emission based Tool Condition Monitoring System in Drilling, WCE 2011, Imperial College, London, 6-8 July, 2011.
    20. T. Szalay and K. Patra, Experimental investigation of microdrilling for developing tool condition monitoring (TCM), International GTE Conference, 14-16 November, 2012, Budapest, Hungary.
    21. K. Patra, R. S. Anand, M. Steiner, D. Biermann, Analysis of Cutting Forces and Surface Roughness in Micro-drilling of CFRP Composite using Response Surface Methodology, CPIE 2013, 29-31 March, 2013, NIT Jalandhar, India.
    22. T. Szalay , B. Zs. Farkas, V. Csala and K. Patra, Investigation on micro drilling of the stainless steel material in the aspects of energetics and tool wear, International Conference on Innovative Technologies, IN-TECH 2013, Budapest, 10. - 12.09.2013. pp. 289-292.
    23. A. K. Jha, K. Patra and T. Szalay, Monitoring of prefailure phase and detection of tool breakage in mechanical micro-drilling using thrust force and torque signals, Proceedings of 2nd International Conference on Intelligent Robotics, Automation, and Manufacturing (IRAM 2013), 16-18 December, 2013, pp. 339-347, Indore, India.
    24. T. Szalay, I. Biro, A. K. Jha, K. Patra, Szerszamkopas: becslese mikrofuras eseten mesterseges neuralis halo alkalmazasaval (Estimation of the wear of micro drill using artificial neural network) XXII. Nemzetkozi Gepeszeti Talalkozo - OGET 2014. Nagyszeben (Sibiu), Romania, 2014.04.24-2014.04.27. pp. 355-359 (22nd International Workshop of Mechanical Engineers).
    25. T. Pratap and K. Patra, Machining of microchannels using micro-milling process, International Colloquium on Materials, Manufacturing and Metrology (ICMMM2014), 8-9 August, 2014, IIT Madras, Chennai, India.
    26. T. Szalay and K. Patra, "Investigation of micro drilling for development of tool condition monitoring system," International Conference on Innovative Technologies, IN-TECH 2014, Leira, Portugal, 10. - 13.09.2014.