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Uma Maheshwera Reddy Paturi
Uma Maheshwera Reddy Paturi
Mechanical Engineering, CVR College of Engineering, Hyderabad, India
Verified email at cvr.ac.in
Title
Cited by
Cited by
Year
Measurement and analysis of surface roughness in WS2 solid lubricant assisted minimum quantity lubrication (MQL) turning of Inconel 718
UMR Paturi, YR Maddu, RR Maruri, SKR Narala
Procedia Cirp 40, 138-143, 2016
802016
Constitutive flow stress formulation, model validation and FE cutting simulation for AA7075-T6 aluminum alloy
UMR Paturi, SKR Narala, RS Pundir
Materials Science and Engineering: A 605, 176-185, 2014
612014
Application of regression and artificial neural network analysis in modelling of surface roughness in hard turning of AISI 52100 steel
UMR Paturi, H Devarasetti, SKR Narala
Materials Today: Proceedings 5 (2), 4766-4777, 2018
432018
Application and performance of machine learning techniques in manufacturing sector from the past two decades: A review
UMR Paturi, S Cheruku
Materials Today: Proceedings 38, 2392-2401, 2021
342021
Experimental investigation to study the effect of electrostatic micro-solid lubricant–coated carbide tools on machinability parameters in turning
UMR Paturi, SKR Narala
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2015
212015
Application of artificial neural network and response surface methodology in modeling of surface roughness in WS2 solid lubricant assisted MQL turning of Inconel 718
UMR Paturi, H Devarasetti, DA Fadare, SKR Narala
IOP conference series: materials science and engineering 346 (1), 012085, 2018
122018
Process modeling and parameter optimization of surface coatings using artificial neural networks (ANNs): State-of-the-art review
UMR Paturi, S Cheruku, SR Geereddy
Materials Today: Proceedings 38, 2764-2774, 2021
92021
Modeling of tool wear in machining of AISI 52100 steel using artificial neural networks
UMR Paturi, S Cheruku, VPK Pasunuri, S Salike
Materials Today: Proceedings 38, 2358-2365, 2021
92021
Investigation on wear behavior of electrostatic micro-solid lubricant coatings under dry sliding conditions
UMR Paturi, N Suresh Kumar Reddy
ASME International Mechanical Engineering Congress and Exposition 45196 …, 2012
92012
Silver nanoparticle-based Tween 80 green cutting fluid (AgNP-GCF) assisted MQL machining-An attempt towards eco-friendly machining
UMR Paturi, GN Kumar, VS Vamshi
Cleaner Engineering and Technology 1, 100025, 2020
82020
Constitutive flow stress formulation for aeronautic aluminum alloy AA7075-T6 at elevated temperature and model validation using finite element simulation
UMR Paturi, SKR Narala
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of …, 2016
82016
Modeling tensile strength and suture retention of polycaprolactone electrospun nanofibrous scaffolds by artificial neural networks
BS Reddy, KH In, BB Panigrahi, UMR Paturi, KK Cho, NS Reddy
Materials Today Communications 26, 102115, 2021
72021
The role of artificial neural networks in prediction of mechanical and tribological properties of composites—a comprehensive review
UMR Paturi, S Cheruku, NS Reddy
Archives of Computational Methods in Engineering, 1-41, 2022
62022
Machine learning and statistical approach in modeling and optimization of surface roughness in wire electrical discharge machining
UMR Paturi, S Cheruku, VPK Pasunuri, S Salike, NS Reddy, S Cheruku
Machine Learning with Applications 6, 100099, 2021
62021
Progress of machinability on the machining of Inconel 718: A comprehensive review on the perception of cleaner machining
UMR Paturi, NS Reddy
Cleaner Engineering and Technology 5, 100323, 2021
52021
Estimation of coating thickness in electrostatic spray deposition by machine learning and response surface methodology
UMR Paturi, NS Reddy, S Cheruku, SKR Narala, KK Cho, MM Reddy
Surface and Coatings Technology 422, 127559, 2021
52021
Artificial neural networks modeling for lead removal from aqueous solutions using iron oxide nanocomposites from bio-waste mass
PL Narayana, AK Maurya, XS Wang, MR Harsha, O Srikanth, AA Alnuaim, ...
Environmental Research 199, 111370, 2021
52021
Finite element simulations of machinability parameters in turning of Inconel 718
UMR Paturi, S Methuku, SS Siripragada, Y Sangishetty, RK Gunda
Materials Today: Proceedings 38, 2658-2663, 2021
52021
Effect of minimum quantity solid lubrication (MQSL) parameters on cutting force and temperature during turning of EN31 steel
SC Nalband, K Pamidimukkala, RK Gunda, UMR Paturi
Materials Today: Proceedings 38, 3314-3319, 2021
52021
Modeling of surface roughness in wire electrical discharge machining of Inconel 718 using artificial neural network
UMR Paturi, H Devarasetti, NS Reddy, N Kotkunde, BK Patle
Materials Today: Proceedings 38, 3142-3148, 2021
52021
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