Faculty Details

Fabrication and Implementation of Venturi Feeder Device in Pneumatic Conveying System for Optimal Material Transfer

Sahgal, S., Gupta, A.K., Bharadwaj, P., & Pradhan, P.M. (2013). This study focuses on designing and fabricating a Venturi feeder device for efficient material transfer in pneumatic conveying systems. International Journal of Science, Engineering and Technology Research (IJSETR), Vol. 2, No. 6, pp. 1376-1379. ISSN: 2278-7798.

Experimental Investigation and Fabrication of Pneumatic Punch

Gupta, A.K., Bharadwaj, P., Sahgal, S., & Pradhan, P.M. (2013). This paper presents the experimental investigation and development of a pneumatic punch for manufacturing applications. International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, No. 6, pp. 2097-2103. ISSN: 2319-8753.

ANN & ANFIS Models for Prediction of Abrasive Wear of 3105 Aluminium Alloy with Polyurethane Coating

Alimam, H., Hinnawi, M., Pradhan, P., & Alkassar, Y. (2016). This research develops predictive models using ANN and ANFIS for abrasive wear of 3105 aluminum alloy with polyurethane coatings. Tribology in Industry, Vol. 38, No. 2, pp. 221-228. ISSN: 0354-8996 (print), 2217-7965 (online).

ANFIS Based Prediction and Parametric Analysis During Turning Operation of Stainless Steel 202

Shivakoti, I., Kibria, G., Pradhan, P.M., Pradhan, B.B., & Sharma, A. This paper investigates the application of ANFIS for predictive modeling and parametric analysis in turning operations involving Stainless Steel 202. Materials and Manufacturing Processes, Taylor & Francis. (SCI)

Experimental Investigation and ANFIS-Based Modelling During Machining of EN31 Alloy Steel

Shivakoti, I., Rodrigues, L.L.R., Cep, R., Pradhan, P.M., Sharma, A., & Bhoi, A.K. (2020). This study presents experimental investigations and ANFIS-based modeling for machining operations on EN31 alloy steel. Materials, MDPI, Vol. 13, No. 14, Article 3137. (SCI)

Analysis of Effect of Different Angle Bends in Pneumatic Conveying System for Optimal Material Transfer

Bharadwaj, P., Gupta, A.K., Pradhan, P.M., Roy, M.K., & Diyaley, S. (2013). This paper investigates the influence of varying angle bends in pneumatic systems for optimal material flow. Proceedings of CPIE 2013, pp. 1181-1185.

Modelling and Optimization of EDM Process: A Fuzzy-Based Approach

Prasad, S., Rajkhowa, P., Lahon, N., Shivakoti, I., & Pradhan, P.M. (2014). The study presents fuzzy logic techniques for modeling and optimizing EDM processes. Proceedings of the International Conference on Advances in Engineering and Technology (ICAET-2014), ISBN: 978-1-63248-028-6, pp. 444-449. doi: 10.15224/978-1-63248-028-6-03-89.

Pneumatic Conveying System for Optimal Material Transfer Using Fuzzy Taguchi Methodology

Pradhan, P.M., Shivakoti, I., Mahto, P.K., Dey, S.K., Pradhan, B.B., & Gupta, A.K. (2014). This paper employs fuzzy Taguchi methods to optimize material transfer in pneumatic conveying systems. International Symposium on Aspects of Mechanical Engineering and Technology for Industry (AMETI 2014), ISBN: 978-93-83842-95-7, Vol. I, pp. 186-194.

Prediction of Surface Roughness for Different Angle Bends in Pneumatic Conveying System Using Regression Analysis and ANFIS

Pradhan, P.M., Alkassar, Y., Mahto, P.K., & Ghadai, R. (2015). This study predicts surface roughness in pneumatic systems using regression analysis and ANFIS. BLB International Journal of Science and Technology, Special Issue, Proceedings of National Conference of Product Design & Manufacturing (NCPDM-2015), pp. 186-192.

Analysis of Material Discharge Rate of Pneumatic Conveying System Using Genetic Algorithm

Pradhan, P.M., Alkassar, Y., Behera, D.K., & Mahto, P.K. (2015). This paper uses genetic algorithms to analyze material discharge rates in pneumatic conveying systems. National Seminar on Prospects and Challenges of Electrical Power Industry in India (NSPCEPII 2015), ISBN: 978-93-84743-43-7, pp. 339-346.

Application of ANN for Prediction of Surface Roughness on Pipe Bends

Pradhan, P.M., Alkassar, Y., Tiwari, P.K., Kumar, D., & Mahto, P.K. (2016). This paper explores the use of Artificial Neural Networks (ANN) to predict surface roughness in pipe bends. National Seminar on Best Practices for Power Generation, Transmission, and Distribution (NSBPPGTD 2016), ISBN: 978-93-85477-72-0, pp. 131-136.

Experimental Investigation and Fabrication of Biogas Digester

Bhandari, J., Pradhan, P.M., & Choudhary, R.K. (2017). This study focuses on the experimental development and fabrication of a biogas digester. Advances in Smart Grid and Renewable Energy Proceedings of ETAEERE-2016, Lecture Notes in Electrical Engineering, Vol. 435, pp. 485-493.

Performance Analysis of Combined Biogas-Diesel Run Dual-Fuel Engine

Gurung, D., Rajvanshi, A., Lalhriatpuia, & Pradhan, P.M. (2017). This paper evaluates the performance of a dual-fuel engine powered by biogas and diesel. Advances in Smart Grid and Renewable Energy Proceedings of ETAEERE-2016, Lecture Notes in Electrical Engineering, Vol. 435, pp. 559-566.

Role of Different Angle Bends in Horizontal Pneumatic Sand Stowing for Optimal Sand Transfer in Coal Mines

Pradhan, P.M., Gupta, A.K., & Mahto, P.K. (2014). This study investigates the role of angle bends in pneumatic systems for sand transfer in coal mines. Proceedings of MRACSB15-2014.