| Experimental investigation to study the effect of solid lubricants on cutting forces and surface quality in end milling NSK Reddy, PV Rao International Journal of Machine Tools and Manufacture 46 (2), 189-198, 2006 | 310 | 2006 |
| Selection of optimum tool geometry and cutting conditions using a surface roughness prediction model for end milling N Suresh Kumar Reddy, P Venkateswara Rao The International Journal of Advanced Manufacturing Technology 26 (11), 1202 …, 2005 | 223 | 2005 |
| Experimental study of surface integrity during end milling of Al/SiC particulate metal–matrix composites NSK Reddy, S Kwang-Sup, M Yang Journal of materials processing technology 201 (1-3), 574-579, 2008 | 155 | 2008 |
| 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 | 133 | 2016 |
| Development of electrostatic solid lubrication system for improvement in machining process performance NSK Reddy, M Nouari, M Yang International Journal of Machine Tools and Manufacture 50 (9), 789-797, 2010 | 118 | 2010 |
| Optimizing turning parameters in the machining of AM alloy using Taguchi methodology S Dutta, SKR Narala Measurement 169, 108340, 2021 | 91 | 2021 |
| 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 | 81 | 2018 |
| Selection of an optimal parametric combination for achieving a better surface finish in dry milling using genetic algorithms NSK Reddy, PV Rao The International Journal of Advanced Manufacturing Technology 28 (5), 463-473, 2006 | 79 | 2006 |
| 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 | 77 | 2014 |
| Genetic variability, heritability and genetic advance studies in newly developed maize genotypes (Zea mays L.) GP Kumar, VN Reddy, SS Kumar, PV Rao International Journal of pure and applied Bioscience 2 (1), 272-275, 2014 | 75 | 2014 |
| A review on alloy composition and synthesis of β-Titanium alloys for biomedical applications CS Pitchi, A Priyadarshini, G Sana, SKR Narala Materials today: proceedings 26, 3297-3304, 2020 | 73 | 2020 |
| Investigation to study the applicability of solid lubricant in turning AISI 1040 steel D Mukhopadhyay, S Banerjee, NSK Reddy | 69 | 2007 |
| Performance improvement of end milling using graphite as a solid lubricant N Suresh Kumar Reddy, P Venkateswara Rao Materials and manufacturing processes 20 (4), 673-686, 2005 | 69 | 2005 |
| Synthesis of orange emitting Sm3+ doped sodium calcium silicate phosphor by sol-gel method for photonic device applications H Kaur, M Jayasimhadri, MK Sahu, PK Rao, NS Reddy Ceramics International 46 (16), 26434-26439, 2020 | 60 | 2020 |
| Optimization of milling operations using artificial neural networks (ANN) and simulated annealing algorithm (SAA) V Mundada, SKR Narala Materials today: proceedings 5 (2), 4971-4985, 2018 | 59 | 2018 |
| A genetic algorithmic approach for optimization of surface roughness prediction model in dry milling N Suresh Kumar Reddy, P Venkateswara Rao Machine Science and Technology 9 (1), 63-84, 2005 | 57 | 2005 |
| Development of an electro static lubrication system for drilling of SCM 440 steel NSK Reddy, M Yang Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2010 | 53 | 2010 |
| Surface modification of grey cast iron by laser cladding for automotive brake disc application A Manoj, A Saurabh, SKR Narala, P Saravanan, HP Natu, PC Verma Wear 532, 205099, 2023 | 48 | 2023 |
| Performance assessment of MQSL: Minimum quantity solid lubricant during turning of Inconel 718 A Marques, SKR Narala, AR Machado, RK Gunda, SK Josyula, ... Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2017 | 46 | 2017 |
| 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 | 45 | 2021 |
Uma Maheshwera Reddy PaturiProfessor of Mechanical Engineering, CVR COLLEGE OF ENGINEERING, Hyderabad, Telangana, IndiaVerified email at cvr.ac.in
