Contact Information

E-mail : sspanda[*AT]iitp.ac.in
Personal Webpage : http://sudhansusekhar.panda.googlepages.com/homepages

Phone : +91-612-2552037 (office)

Fax :     +91-612-2277383

Research Interest

Tool condition monitoring, Soft Computing, Metal Cutting and Machining, Industrial application of Soft computing technique in Machining, Designing of experiments, Statistical modelling

Teaching

M/c Drawing

Workshop Practice

Manufacturing Technology

Advanced analytical method

Professional Experience

1. Lecturer, Department of Mechanical Engineering, NIT Rourkela, July'2007- Feb'2009
2. Lecturer, Department of Mechanical Engineering, CVRCE Bhubaneswar, Orissa, India, Nov'2001-May'03
3. Lecturer, Department of Mechanical Engineering, KIIT Bhubaneswar, Orissa, India, May'2001-Nov'03
4. Guest faculty member, Department of Mechanical Engineering, UCE Burla, Orissa, India, Jan'1998-June'99
 

Publications

Journal:

1. Panda S.S., Singh A.K., Pal S.K., Chakraborty D., Predicting drill wear using an artificial neural network, International Journal of Advance Manufacturing Technology (2006), 28 (5-6), 456-462.
2. Panda S.S., Singh A.K., Pal S.K., Chakraborty D., Drill Wear Monitoring using Back Propagation Neural Network, Journal of Material Processing Technology (2006), 172 (2), 283-290.
3. Panda S.S., Chakraborty D., Pal S.K., International Journal of Advance Manufacturing Technology, Monitoring of drill flank wear using fuzzy back propagation neural network (2006), 34, 3-4, 227-235
4. Panda S. S., Chakraborty D., Pal S. K., Flank wear prediction in drilling cast iron using Back Propagation neural network and radial basis function network, Journal of Applied Soft Computing (2008), 8(2), 858-871.
5. Panda S. S., Chakraborty D., Pal S. K., Drill Wear Prediction using Different Neural Network Architecture, Journal of Knowledge-Based & Intelligent Engineering Systems, IOS Press (2008),12 (5-6),327-338
 

Conferences:

6. Panda Sudhansu Sekhar, international conference on emerging technology, Bhubaneswar titled as Determination of extrusion pressure for different sections of dies using SERR technique`, 2003.

7. Panda S.S., Chakraborty D., Pal S.K., Prediction of drill flank wear using radial basis function neural network, National conference on Soft computing technique in engineering application (2006), Rourkela.
 

8. Panda S.S., Online monitoring of hole qualities and cutting tool condition using Intelligent Technique, National Conference on Quality, Reliability and Maintainability aspect in Engineering systems (2007), NIT Hamirpur.

9. Panda S.S, Mahapatra S.S, Parametric optimisation of multi response drilling process using Grey based Taguchi method, International, AIMS international conference on management, 2008
 

Last updated : 13th May, 2010