| Artificial neural network based tool wear estimation on dry hard turning processes of AISI4140 steel using coated carbide tool D Rajeev, D Dinakaran, SCE Singh Bulletin of the polish academy of sciences: Technical sciences, 2017 | 33 | 2017 |
| Plasma spray coating of aluminum–silicon-MWCNT blends on titanium grade 5 alloy substrate for enhanced wear and corrosion resistance R Srinivasan, M Kamaraj, D Rajeev, S Ravi, N Senthilkumar Silicon 14 (14), 8629-8641, 2022 | 13 | 2022 |
| Automatic generation control using an improved artificial electric field in multi-area power system AP Sobhanam, PM Mary, WI Mariasiluvairaj, RD Wilson IETE Journal of Research 69 (7), 4813-4825, 2023 | 11 | 2023 |
| Predictions of tool wear in hard turning of AISI4140 steel through artificial neural network, fuzzy logic and regression models D Rajeev, D Dinakaran, N Kanthavelkumaran, N Austin International Journal of Engineering 31 (1), 32-37, 2018 | 10 | 2018 |
| Prediction of roughness in hard turning of AISI 4140 steel through artificial neural network and regression models D Rajeev, D Dinakaran, S Muthuraman Int J Mech Eng Technol (IJMET) 7 (5), 200-208, 2016 | 7 | 2016 |
| Optimization Tool Wear on Hard Turning of AISI4140 Steel with Coated Carbide Tool Cutting Conditions D Rajeev, SCE Singh, DRA Rejilin, GG Devadhas, S Ajitha | 2 | 2020 |
| Experimental Study of Surface Roughness in Hard Turning of AISI4140 Steel with Coated Carbide Tool NKNA D. Rajeev, D. Dinakaran World Applied Sciences Journal 34 (DOI: 10.5829/idosi.wasj.2016.1310.1317 …, 2016 | 2 | 2016 |
| A review on signal acquisition methods for tool wear monitoring in turning process D Rajeev, D Dinakaran, S Satishkumar, AWA Lenin Advanced Materials Research 984, 83-93, 2014 | 1 | 2014 |
| A complete overview of self-healing composites including its models in aeronautical systems JR Rb, SM Kennedy Polymer-Plastics Technology and Materials 63 (9), 1143-1174, 2024 | | 2024 |
| Artificial Neural Network on Tool Condition Monitoring in Hard Turning of AISI4140 Steel Using Carbide Tool S Ajitha Priyadarsini, D Rajeev, RS Rai, KP Nadar, ... Mathematical Problems in Engineering 2023, 2023 | | 2023 |
| Optimization on friction and wear behaviour of Al-Si alloy reinforced with B4C particles by Powder Metallurgy using Taguchi design R Jeya Raj, WA Lenin Anselm, M Jinnah Sheik Mohamed, ... Bulletin of the Polish Academy of Sciences: Technical Sciences, 2020 | | 2020 |
| Minimizing MRR during Turning of AISI 4140 Steel with the selected Process Parameters by Optimization SAP S. Christopher Ezhil Singh,D. Rajeev, D. Dinakaran Journal of Mechanics of Continua and Mathematical Sciences 15 (3), 158-167, 2020 | | 2020 |
| Analysis of Cutting Force Components in Hard Turning of AISI4340 Steel with Coated Carbide Tool: Reg D Rajeev, N Austin, G Franklin Journal of Advances in Mechanical Engineering and Science 4 (1), 2018 | | 2018 |
| Statistical Analysis of Surface Roughness in Hard Turning: An Optimization Approach D. Rajeev, D. Dinakaran Applied Mathematics & Information Sciences 11 (2), 557-563, 2017 | | 2017 |
| Prediction of Tool Wear in Hard Turning of AISI4140 Steel Through Artificial Neural Network and Regression Models NKNA D. Rajeev, D. Dinakaran Middle-East Journal of Scientific Research 24 (7), 2289-2293, 2016 | | 2016 |
| Condition Monitoring of Tool Wear and Surface Roughness Using Coated Carbide Tool in Hard Turning D Rajeev Chennai, 0 | | |
| Experimental Study of Environment Friendly Mixed Refrigerant to Replace R-134a in a VCR System with Testing and Training of ANN N Austin, D Rajeev, PAP Merinto, M Manoj | | |
| Analysis of Thermodynamic Behavior of a Turbulent Air Flow in a Rectangular Duct S Muthuraman, S Kathirvel, M Sivaraj, D Rajeev | | |
