Experimental and numerical investigation of regenerative centrifugal pump using CFD for performance enhancement A Maity, V Chandrashekharan, MW Afzal International Journal of Current Engineering and Technology 5 (4), 2898-2903, 2015 | 18 | 2015 |
Prediction of thermogravimetric data in bromine captured from brominated flame retardants (BFRs) in e-waste treatment using machine learning approaches L Ali, K Sivaramakrishnan, MS Kuttiyathil, V Chandrasekaran, OH Ahmed, ... Journal of Chemical Information and Modeling 63 (8), 2305-2320, 2023 | 17 | 2023 |
Degradation of tetrabromobisphenol A (TBBA) with calcium hydroxide: a thermo-kinetic analysis L Ali, K Sivaramakrishnan, MS Kuttiyathil, V Chandrasekaran, OH Ahmed, ... RSC advances 13 (10), 6966-6982, 2023 | 16 | 2023 |
Prediction of thermogravimetric data in the thermal recycling of e-waste using machine learning techniques: a data-driven approach L Ali, K Sivaramakrishnan, MS Kuttiyathil, V Chandrasekaran, OH Ahmed, ... ACS omega 8 (45), 43254-43270, 2023 | 9 | 2023 |
Transient thermal analysis of a nanosatellite in low earth orbit V Chandrasekaran, ER Subramanian Proceedings of The Eighth International Conference on Engineering …, 2012 | 6 | 2012 |
Protection of spacecraft from space environmental effects M Nayyar, S Raviprasad, V Chandrasekaran, YV Gupta 64th International Astronautical Congress 2013, IAC 2013, 6022-6029, 2013 | 2 | 2013 |
Prediction of Thermogravimetric Data for Asphaltenes Extracted from Deasphalted Oil Using Machine Learning Techniques K Sivaramakrishnan, JH Tannous, V Chandrasekaran Industrial & Engineering Chemistry Research 62 (43), 17787-17804, 2023 | 1 | 2023 |
Numerical study of active cooling techniques of a nano satellite using CFD for performance enhancement V Chandrasekaran, M Nayyar, S Raviprasad, YV Gupta 64th International Astronautical Congress 2013, IAC 2013, 6119-6126, 2013 | | 2013 |