Items where Author is "Vandrangi, S.K."
Article
Vandrangi, S.K. and Lemma, T.A. and Muhammad Mujtaba, S. (2024) Adaptive thresholds-based leak detection using real-time transient modeling of two-phase flows. Process Safety Progress, 43 (S1). S150-S160.
Vandrangi, S.K. and Lemma, T.A. and Mujtaba, S.M. (2024) Transient Modeling of Two-Phase Flows Using OLGA. Lecture Notes in Mechanical Engineering. pp. 109-121. ISSN 21954356
Emani, S. and Vandrangi, S.K. and Velidi, G. and Ahmadi, M.H. and Cárdenas Escorcia, Y. and Jafet Nieto Pisciotti, A. (2023) Effects of wavy structure, ambient conditions and solar intensities on flow and temperature distributions in a mini solar flat plate collector using computational fluid dynamics. Engineering Applications of Computational Fluid Mechanics, 17 (1). ISSN 19942060
Kappagantula, S. and Vojjala, S. and Iyer, A.A. and Velidi, G. and Emani, S. and Vandrangi, S.K. (2023) HEURISTIC OPTIMIZATION OF BAT ALGORITHM FOR HETEROGENEOUS SWARMS USING PERCEPTION. Operational Research in Engineering Sciences: Theory and Applications, 6 (2). pp. 52-77. ISSN 26201607
Mujtaba, S.M. and Lemma, T.A. and Vandrangi, S.K. (2022) Gas pipeline safety management system based on neural network. Process Safety Progress, 41 (S1). S59-S67. ISSN 10668527
Mujtaba, S.M. and Lemma, T.A. and Vandrangi, S.K. (2022) Leak diagnostics in natural gas pipelines using fault signatures. International Journal of Pressure Vessels and Piping, 199. ISSN 03080161
Panwar, V. and Vandrangi, S.K. and Emani, S. and Velidi, G. and Hamza, J. (2020) Computational fluid dynamics simulations with applications in virtual reality aided health care diagnostics. Studies in Computational Intelligence, 875. pp. 193-209. ISSN 1860949X
Panwar, V. and Emani, S. and Vandrangi, S.K. and Hamza, J. and Velidi, G. (2020) Fluid dynamics in healthcare industries: Computational intelligence prospective. Studies in Computational Intelligence, 875. pp. 107-122. ISSN 1860949X
Mujtaba, S.M. and Lemma, T.A. and Ammar Taqvi, S.A. and Ofei, T.N. and Vandrangi, S.K. (2020) Leak detection in gas mixture pipelines under transient conditions using hammerstein model and adaptive thresholds. Processes, 8 (4). ISSN 22279717
Syed, M.M. and Lemma, T.A. and Vandrangi, S.K. and Ofei, T.N. (2020) Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions. Journal of Natural Gas Science and Engineering, 83. ISSN 18755100
Vandrangi, S.K. and Hassan, S.B. and Sharma, K.V. and Baheta, A.T. (2019) Heat transfer coefficients investigation for TiO2 based nanofluids. International Journal of Engineering, Transactions A: Basics, 32 (10). pp. 1491-1496. ISSN 17281431
Vandrangi, S.K. and Emani, S. and Sharma, K.V. and Velidi, G. (2018) Computational analysis to determine the heat transfer coefficients for SiO 2 /60EGW and SiO 2 /40EGW based nano-fluids. Annales de Chimie: Science des Materiaux, 42 (1). pp. 103-114. ISSN 01519107
Vandrangi, S.K. and Emani, S. and Velidi, G. and Sharma, K.V. (2018) Friction Factor Analysis of SiO2 and Al2O3 Nanofluids dispersed in 60 EGW and 40 EGW Base Fluids. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 51 (1). pp. 61-70. ISSN 22897879
Vandrangi, S.K. and Sharma, K.V. and Kamal, S. and Akilu, S. (2016) Heat transfer enhancement under turbulent flow for EG-water mixture of 40:60 ratio. ARPN Journal of Engineering and Applied Sciences, 11 (22). pp. 12942-12946. ISSN 18196608
Conference or Workshop Item
Vandrangi, S.K. and Hassan, S.B. and Sharma, K.V. and Reddy, P. (2017) Comparison of nanofluid heat transfer properties with theory using generalized property relations for EG-water mixture. In: UNSPECIFIED.
Book
Panwar, V. and Vandrangi, S.K. and Emani, S. (2020) Artificial intelligence-based computational fluid dynamics approaches. Elsevier, pp. 173-190. ISBN 9780128186992
Korada, V.S. and Vandrangi, S.K. and Kamal, S. and Minea, A.A. (2017) Experimental studies on the influence of metal and metal oxide nanofluid properties on forced convection heat transfer and fluid flow. CRC Press, pp. 1-27. ISBN 9781498751865; 9781498751858
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