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Faculty Profile

Dr. Rudra Pratap Singh
Associate Professor
Institute of Engineering and Technology
Department of Mechanical Engineering

Contact Details:

Email: rudra.singh@gla.ac.in

Contact Number: 9457265122

EXPERIANCE:

1. Teaching Experience: About Seventeen years teaching experience in engineering field from 02-03-1999 to till date in GLAITM (now GLA University) Mathura.

(a)  Lecturer from 02-03-1999 to 30-06-2004

(b)  Senior Lecturer from 01-07-2004 to28-02-2009

(c)  Reader from 01-03-2009 to 31-08-2014

(d)  Associate Professor from 01-09-2014 to till date    

 2. Industrial Experience: Six years and Five months in engineering field (Quality Control Engineer) from 27-08-1992 to 15-02-999 in Jindal Aluminum Ltd. Bangalore.

3. Administrative experience:

            (a) Program coordinator of Mechanical engineering department in GLAITM Mathura from 21-07-08 to 30-01-2011

            (b) Class advisor and counselor for many classes in many semesters in GLAITM       Mathura.

            (c) Hostel warden in GLAITM Mathura from March 1999 to February 2000,

            (d) Member of flying squad for 12 semester exams of UPTU Lucknow

QUALIFICATION:

 

S.No.

 Examination

Main Subject

 Board/University

   Year

1.

Ph.D.

Arc Welding (Mech. Engineering)

U.T.U. Dehradun

2015

2.

M.Tech.

Mechanical Engineering

U.P.T.U. Lucknow

2009

3.

B.E.

Mechanical Engineering

Gorakhpur  University

1992

4.

Intermediate

Science (Maths.)

U.P.Board

1986

5.

High School

Science

U.P.Board

1984

 

  • Summer on job training with Indian Telephone Industries Mankapur, Gonda during B.E. Course of Four years.
  • Topper (gold medal with 97% Marks) by IIT Kanpur for online course of manufacturing process Technology-2, run by NPTEL.

 

Thesis of B. E., M. Tech and Ph D

 

  1. Experimental and Theoretical Investigation into the Effect of Welding-Parameters and Magnetic-Field on Structure and Properties of Weld in Arc-Welding. (Ph.D.)
  2. Performance Analysis of Power Shovel using Multiple Regression & Linear Goal Programming. (M.Tech.)
  3. Design of Centrifugal Blower. (B.E.)

 

Research Papers and Conference Papers

 

Papers Presented In National Conferences:                 Five

Papers Presented In International Conferences:          One

Papers Published In International Journals:                 Nineteen

B.Tech Thesis Guided:                                                 Ten

M Tech Thesis Guided:                                                 One

Ph D Thesis Guided:                                                     One (Awarded Degree)

Ph D Thesis Guiding:                                                    One (Submitted)

Reviewer/Member of Editorial Committee:                  Three International Journals

 

List of Mentioned Publications:

 

(a)               PAPERS PUBLISHED  IN INTERNATIONAL JOURNALS

    1. Singh, 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.

     2. Singh, 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.

    3. Singh, 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.

    4. Singh, 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.

    5. Singh, 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.

 6. Singh, 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.

   7. 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.

   8. Singh, 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.

   9. Singh, 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.

   10. Singh, 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.

   11. Singh, 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.

   12. Singh, 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.

    13.  Kumari, 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.

    14. Kumari, 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.

    15. Sharma, 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.

     17. Sharma, 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.

     18. Singh, 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.

    19. Sharma, 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.

 

 (B)  PAPERS PUBLISHED IN INTERNATIONAL CONFERENCE

            1.  K. 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.  

 

(C)  PAPERS PUBLISHED IN NATIONAL CONFERENCES

            1. Singh, 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.

             2. Singh, 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.

             3. Singh, 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.

             4. Singh, 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.

             5. Singh, 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.

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