Bijaya Bijeta Nayak
Associate Professor
Bijaya Bijeta Nayak completed her doctoral degree from the Department of Mechanical Engineering, National Institute of Technology Rourkela, India. She obtained her BTech degree from Biju Patnaik University of Technology and MTech degree from Kalinga Institute of Industrial Technology (KIIT) University Bhubaneswar Odisha India. Currently, she is a Faculty at KIIT University. She has more than seven years of experience in teaching. Her current area of research includes manufacturing processes, non-conventional machining processes, process modelling, and quality engineering. She has published ten research papers in international journals and presented in more than thirty international conferences.
Profile Links
Email :
[email protected]
Scopus Id :
56352342500
Google Scholar :
https://scholar.google.co.in/citations?user=27mG3swAAAAJ&hl=en
Social Links
Ph. D.
Research Interests
Advanced Manufacturing Processes, Optimization and Modelling, Sustainable manufacturing
Administrative Responsibility
Examination Committee member
1. Choudhary, R., Kanaujia, N., Mitra, S., Lenka, S. P., Debnath, P., Nayak, B. B., ... & Routara, B. C. (2024). Machinability study of Inconel-825 using TiAlN coated carbide
tool insert. Materials Today: Proceedings.
2. Sahu, S. B. B. P. J., Nayak, S., Sahu, S., Mohapatra, J., Khuntia, S. K., Sahoo, P. K., ... & Nayak, B. B. (2023). Extraction and Characterization of Natural CASCABELA
Thevetia Bast Fibers: A Potential Candidate as Reinforcement in Epoxy Composites. Journal of Natural Fibers, 20(2), 2272215.
3. Nayak, S., Mohapatra, J., Muduli, K., Khuntia, S. K., Malla, C., Patra, S. K., Nayak, B.B. & Jena, P. K. (2023). Mechanical and thermal properties of Careya arborea bast
fiber–reinforced chitosan composites for packaging industries. Biomass Conversion and Biorefinery, 1-8.
4. Jena, H., Satpathy, S., Sahoo, S., Sahu, S., & Nayak, B. B. (2023). Corrosion Protection Practices and Integrity Management Challenges in Oil and Gas Pipeline. In
Transportation Systems Technology and Integrated Management (pp. 141-162). Singapore: Springer Nature Singapore.
5. Nayak, B. B., Kundu, S., Sahu, S., Roy, S., & Das, S. S. (2023). Support Vector Regression approach for prediction of delamination at entry and exit during drilling of GFRP
Composites. In E3S Web of Conferences (Vol. 391, p. 01162). EDP Sciences.
6. Sahoo, A. K., Panda, A., Nayak, B. B., Kumar, R., Das, R. K., & Nayak, R. K. (2021). Machinability model and multi-response optimisation of process parameters through
regression and utility concept. International Journal of Process Management and Benchmarking, 11(3), 390-414.
7. Das, D., Chakraborty, V., Nayak, B. B., Satpathy, M. P., & Samal, C. (2020). Machining of aluminium-based metal matrix composite-a particle swarm optimisation approach.
International Journal of Machining and Machinability of Materials, 22(1), 79-97.
8. Nayak, B. B., & Mahapatra, S. S. (2019). Effect of deep cryogenic treatment on performance measures in wire electrical discharge machining process during taper cutting
operation. International Journal of Productivity and Quality Management, 26(1), 1-20.
9. Nayak, B. B., & Mahapatra, S. S. (2017). An intelligent approach for multi-response optimisation of WEDM parameters. International Journal of Industrial and Systems
Engineering, 25(2), 197-227.
10.Nayak, B. B., & Mahapatra, S. S. (2016). Optimization of WEDM process parameters using deep cryo-treated Inconel 718 as work material. Engineering Science and Technology, an
International Journal, 19(1), 161-170.
Patents:
1. Patent Title: Drone-based autonomous construction with deep augmented learning.
Patent No.: 202111044800, Patent Status: Published
2. Patent Title: Bone replacement implants with mechanically biocompatible cellular material.
Patent No.: 202241039963 Patent Status: Published
3. Patent Title: Design and development of underground pipe installation and restoration technique
Patent No.: 202231039764 Patent Status: Published
4. Patent Title: A system and method for detecting recognition in additive manufacturing using image processing based on IOT and AI.
Patent No.: 202231034464 Patent Status: Published
5. Patent Title: SOLAR OPTICAL DESALINATION UNIT
Patent No.: 368071-001 Patent Status: Published and Granted
6. Patent Title: Powder Manufacturing Unit
Patent No.:37791-001 Patent Status: Published and Granted
7. Patent Title: Method of producing a solar cell
Patent No.: 202331024032 Patent Status: Published
8. Patent Title: Precision Drone Agriculture Farming Using Artificial Intelligence Techniques
Patent No.:202331003879 Patent Status: Published