Faculty

Admission Query

Dr. Rudra Pratap Singh

  • Associate Professor
    Institute of Engineering & Technology
  • Department

    Department of Mechanical Engineering
  • Contact Details:

    Email : rudra.singh@gla.ac.in

    Contact Number :9457265122

  • Experience

  • Qualifications

    Ph.D.: U.T.U. Dehradun,2015

    M.Tech.: U.P.T.U. Lucknow,2009

  • Ph.D

    Thesis Supervised

  • Awarded / Completed-

    Working-

  • Postgraduate

    Thesis Supervised

  • Awarded / Completed-

    Working-

Journal

  • 01Singh, R.P. et al, 2012. Prediction of weld bead geometry in shielded metal arc welding under external magnetic field using artificial neural networks. International Journal of Manufacturing Technology and Research, Vol. 8, number 1, pp. 9-15.
  • 02Singh, R.P. et al, October, 2012. Application of artificial neural network to analyze and predict the mechanical properties of shielded metal arc welded joints under the influence of external magnetic field. International Journal of Engineering Research & Technology, Vol. 1, Issue 8, pp. 1-12.
  • 03Singh, R.P. et al, November–December, 2012. Application of ANN to predict reinforcement height of weld bead under magnetic field. International Journal of Emerging Trends & Technology in Computer Science, Vol. 1, Issue 4. pp. 70-74.
  • 04Singh, R.P. et al, December 2012.The Effect of process parameters on penetration in shielded metal arc welding under magnetic field using artificial neural networks. International Journal of Application or Innovation in Engineering & Management. Vol. 1, Issue 4. pp. 12-17.
  • 05Singh, R.P. et al, January, 2013.Application of artificial neural network for prediction of hardness of shielded metal arc welded joints under the influence of external magnetic field. International Journal of Engineering Research and Development, Vol. 5, Issue 7, pp. 84-88.
  • 06Singh, R.P. et al, January, 2013.Prediction of weld width of shielded metal arc weld under magnetic field using artificial neural networks. International Journal of Computational Engineering Research, Vol. 3, Issue 1, pp. 58-64.
  • 07 Singh, R.P. et al, January 2013.Application of artificial neural network to analyze and predict the tensile strength of shielded metal arc welded joints under the influence of external magnetic field, International Journal of Engineering and Science, Vol. 2, Issue 1, pp. 53-57.
  • 08Singh, R.P. et al, January, 2013. Application of artificial neural network to analyze and predict the toughness of shielded metal arc welded joints under the influence of external magnetic field. International Journal of Innovative Research & Development. Vol. 2, Issue 1. pp. 191-200.
  • 09Singh, R.P. et al, February, 2013.Application of ANN to analyze and predict impact strength and hardness of shielded metal arc welded joints under the influence of external magnetic field. International Journal of Pure and Applied Research in Engineering and Technology, Vol. 1, Issue 6. pp. 26-36.
  • 10Singh, R.P. et al, February, 2013.Analysis of depth of penetration and bead width of shielded metal arc weld under magnetic field applying artificial neural networks. International Journal of Science, Engineering and Technology Research. Vol. 2, Issue 2. pp. 235-242.
  • 11Singh, R.P. et al, January, February, March, 2013. Application of ANN to analyze and predict tensile strength and impact strength of shielded metal arc welded joints under the influence of external magnetic field. Bookman International Journal of Mechanical and Civil Engineering. Vol. 2,Issue 1. pp. 1-6.
  • 12Singh, R.P. et al, April, 2013. Analysis of bead width and reinforcement height during shielded metal arc welding under magnetic field using artificial neural networks. International Journal of Mechanical Engineering and Robotics Research. Vol. 2, Issue 2. pp. 1-10.
  • 13Kumari, P. and Singh, R.P., 2015. Development of mathematical models for prediction of weld bead geometry of hardfaced steel.International Journal of Applied Engineering Research. Volume 10, Number 17. pp 38509-38525.
  • 14Kumari, P. and Singh, R.P., August, 2015. Abrasive wear mathematical model of 140MXC nano structured hardfacing. International Journal of Innovative Research in Science, Engineering and Technology.Vol. 4, Issue 8. pp.7321-7330.
  • 15Sharma, S., Singh, R.P. and Kumar, S., June, 2016. Mechanical anisotropy of AA 1050 and aluminium alloy AA 6016 produced by accumulative roll bonding. International Journal of Innovations in Engineering and Technology. Vol. 7, Issue 1. pp.350-356.
  • 16 Sharma, S., Singh, R.P. and Kumar, S., July, 2016. Development of nano-structured metals processed by severe plastic deformation. Indian Journal of Science and Technology. Vol. 9, Issue 27. pp. 01-07.
  • 17Sharma, S., Singh, R.P. and Kumar, S., Oct-Nov 2016. Bonding Characteristics of Al and Al-Alloy Strips: Processed by Severe Plastic Deformation. International Journal of Engineering and Technology. Vol. 8, No 5. Pp.1893-1898.
  • 18Singh, C.R. and Singh, R.P., 2016. Prediction of output parameters in wire electrical discharge machining of EN-31 steel by artificial neural networks. International Journal of Advanced Technology and Engineering Exploration, Vol 3(22). pp.137-144.
  • 19Sharma, S., Singh, R.P. and Kumar, S., Oct-Nov 2016. Mechanical Properties of Aluminum Sheets after Accumulative Roll Bonding using Two and Four-High Rolling Mill. Global Journal of Advanced Engineering Technologies and Sciences. Vol. 4, No 2. pp.8-13.
  • 20 Rathore, P.S., Rathore, S, Singh, R.P. and Agnihotri, S, To be published.. Solar Power Utility Sector in India: Challenges and Opportunities. Renewable and Sustainable Energy Reviews, Elsevier.

International Conferences

  • 01K. Pratibha and Singh, R.P., 18-22, January, 2016. Optimization of welding parameters for weld dilution in GMAW using genetic algorithm. Vth International Symposium on fusion of Science and Technology. New Delhi, pp 422-427.

National Conferences

  • 01Singh, R.P. and Singh, M.K., 27-28, June, 2008. Performance analysis of power shovel using multiple regression and linear goal programming. National Conference on Emerging Technologies in Mechanical Engineering. KIET, Ghaziabad, pp 276-185.
  • 02Singh, R.P. et al, 25-26, March, 2011. Recent developments in shielded metal arc welding process. National Conference on Recent Advances in Mechanical Engineering (RAME-2011), BSACET, Mathura, pp. 182-188.
  • 03Singh, R.P. et al, 8-9, June-2012. ANN assisted prediction of weld bead geometry in shielded metal arc welding under external magnetic field. National Conference on Recent Advances in Mechanical Engineering (RAME-2012), HGST, Mathura, pp. 103-108.
  • 04Singh, C.R., Singh, R.P. and Bansal, G., 28-29, March, 2016. Optimization of wire electrical discharge machining process of EN-31 for surface roughness and material removal rate using artificial neural networks. National Conference on Recent Advances in Science and Engineering (RASE 2016), ISM, Dhanbad.
  • 05Singh, C.R. and Singh, R.P., 28-29, May, 2016. Prediction of output parameters in wire electrical discharge machining of EN-31 steel by artificial neural networks. National Conference on Process automation and Control (NCPAC 2016), NIT, Jaipur.