B. Surekha
Associate Professor
Dr. B. Surekha received her B.Tech in Mechanical Engineering from Jawaharlal Nehru Technological University, Hyderabad-500085, India and M.Tech in Computer Integrated Manufacturing from National Institute of Technology, Warangal-506004, India in 2000 and 2003, respectively. She received her PhD from Jawaharlal Nehru Technological University, Hyderabad-500085 in 2015. At present, she is working as an Associate Professor in the School of Mechanical Engineering, KIIT Deemed to be University, Bhubaneswar, India-751024. She taught courses like Manufacturing Technology, Advanced manufacturing process, Materials Engineering, CNC & AC and Robotics for both undergraduate and graduate students. She got DST SERB sponsored funded research project in 2019. Her research interests include advanced casting methods, Functionally graded materials, modelling and simulation of manufacturing systems and soft computing. She has published about 50 technical papers.
Profile Links
Email :
[email protected]
Google Scholar :
https://scholar.google.co.in/citations?hl=en&user=d-XomZAAAAAJ
Social Links
Ph. D.
Research Interests
Advanced casting methods, Functionally graded materials, modelling and simulation of manufacturing systems and soft computing
Projects
Development of continuous gradient Functionally Graded Materials (FGMs) by using gravity die casting. (DST-TARE Scheme)
Administrative Responsibility
Robotics Lab Co-FiC
Outreach Activity
Convener for ICAMME-2019, KIITEE Observer and Education for all seminar organized at Visakhapatnam
Journals:
1. Pandu R. Vundavilli, M.B. Parappagoudar, K. Shyam Prasad and B. Surekha, Fuzzy logic based expert system for prediction of depth of cut in abrasive water jet machining process, Knowledge Based Systems, Vol. 27, pp. 456-464, March 2012.
2. K. Shanmukhi, Pandu R. Vundavilli and B. Surekha, Modeling of ECDM micro drilling process using GA and PSO trained radial basis function neural network, Soft Computing, Vol. 19, No. 8, pp. 2193-2202, Aug 2015.
3. B. Surekha, D. Hanumantha Rao, G. Krishna Mohana Rao, Pandu R. Vundavilli and Mahesh B. Parappagoudar, Prediction of resin bonded sand core properties using fuzzy logic, Journal of Intelligent and Fuzzy Systems, Vol. 25, pp. 595-604, June 2013.
4. B. Surekha, Pandu R. Vundavilli and M.B. Parappagoudar, “Forward and reverse mappings of the cement bonded sand mould system using fuzzy logic”, International Journal of Advanced Manufacturing Technology, Vol. 61, No. 9-12, Aug 2012, pp. 843-854.
5.B. Surekha, Lalith K. Kaushik, Abhishek K. Pandey and Pandu R. Vundavilli, “Multi-objective optimization of green sand mould system using evolutionary algorithms”, International Journal of Advanced Manufacturing Technology, Vol. 58, No. 1-4, pp. 9-17, Jan. 2012.
6. B. Surekha, Pandu R. Vundavilli, M.B. Parappagoudar and A. Srinath, “Design of genetic-fuzzy system for forward and reverse mapping of green sand mould system”, International Journal of Cast Metal Research, Vol. 24, No. 1, (2011), pp. 53-64.
7. B. Surekha, Pandu R. Vundavilli, R.P. Bhat and M.B. Parappagoudar, “Forward and reverse mappings in metal casting – A step towards quality casting and automation”, AFS Metal Congress.
8. Akash Deep Chhabra, R. Vinod Kumar, Pandu R Vundavilli and B. Surekha, Design and analysis of higher order exponential horn profiles for ultrasonic machining, Journal for Manufacturing Science and Production, Vol. 16, No.1 pp. 13-19, Jan-Mar 2016.
9. Kar, C., & Surekha, B. (2019). Effect of red mud and TiC on friction and wear characteristics of Al 7075 metal matrix composites. Australian Journal of Mechanical Engineering, 1-10.
10. Surekha, B., Sree Lakshmi, T., Jena, H., & Samal, P. (2019). Response surface modelling and application of fuzzy grey relational analysis to optimise the multi response characteristics of EN-19 machined using powder mixed EDM. Australian Journal of Mechanical Engineering, 1-11.
Conferences:
1.B. Surekha, D. Hanumanta Rao, G. Krishna Mohana Rao and Pandu R. Vundavilli, Experimental studies on properties chromite-based resin bonded sand system, Recent Advances in Robotics, Aeronautical and Mechanical Engineering, Vouliagmeni, Athens, Greece, pp. 230-238, May 14-16, 2013
2.B. Surekha, P.G. Rao, B.B. Nayak and V.S. Sai, Surface characteristics of EN19 steel machined by EDM using graphite mixed dielectric medium, International Conference on Materials processing and Characterization, Organized by Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, 16-18th March 2018.
3.G. Mondal, B. Surekha and S.D. Choudhury, Investigation on the influence of different powder mixed dielectric in electric discharge machining, International Conference on Materials processing and Characterization, Organized by Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, 16-18th March 2018.
4.S.D. Choudhury, N.J. Saharia, B. Surekha and G. Mondal, Study on the influence of hybridized powder mixed dielectric in electric discharge machining of alloy steels, International Conference on Materials processing and Characterization, Organized by Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, 16-18th March 2018.