| Machining parameters optimization of AA6061 using response surface methodology and particle swarm optimization R Lmalghan, K Rao MC, SS Rao, MA Herbert International Journal of Precision Engineering and Manufacturing 19, 695-704, 2018 | 69 | 2018 |
| Application of particle swarm optimization and response surface methodology for machining parameters optimization of aluminium matrix composites in milling operation RL Malghan, KMC Rao, AK Shettigar, SS Rao, RJ D’Souza Journal of the Brazilian Society of Mechanical Sciences and Engineering 39 …, 2017 | 56 | 2017 |
| Influence of welding process parameters on microstructure and mechanical properties of friction stir welded aluminium matrix composite S Prabhu, AK Shettigar, K Rao, S Rao, M Herbert Materials Science Forum 880, 50-53, 2017 | 25 | 2017 |
| An efficient approach to optimize wear behavior of cryogenic milling process of SS316 using regression analysis and particle swarm techniques MC Karthik Rao, RL Malghan, S ArunKumar, SS Rao, MA Herbert Transactions of the Indian Institute of Metals 72, 191-204, 2019 | 8 | 2019 |
| Forward and reverse mapping for milling process using artificial neural networks SSR Rashmi L Malghan, Karthik Rao M C, ArunKumar Shettigar Data in brief 16 (2018), 114-121, 2017 | 8* | 2017 |
| Application of back propagation algorithms in neural network based identification responses of AISI 316 face milling cryogenic machining technique KR MC, RL Malghan, AK Shettigar, SS Rao, MA Herbert Australian Journal of Mechanical Engineering 20 (3), 698-705, 2022 | 7 | 2022 |
| Machinability study of austenitic stainless steel under wet and cryogenic treatment in face milling K Rao, RL Malghan, AK Shettigar, SS Rao, MA Herbert J. Mat. Sci. Surf. Eng 653, 2017 | 5 | 2017 |
| Effect of process parameters on tensile strength of friction stir welded Al-Cu-Mg-Si-SiCp composite SRB Prabhu, AK Shettigar, K Rao, A Nigalye, MA Herbert, SS Rao | 5 | 2015 |
| Advantages of cryogenic machining technique over without-coolant and with-coolant machining on SS316 MAHSSR M C Karthik Rao , Rashmi L Malghan , Arun Kumar Shettigar Engineering Research Express 3 (015040), 2021 | 1 | 2021 |
| Development of a Prediction Model for Optimized Surface Roughness in Face Milling Operation Using Recurrent Neural Network Technique SSR Rashmi L Malghan, Karthik Rao M C, ArunKumar Shettigar International Journal of Applied Engineering Research 10 (ISSN 0973-4562 …, 2015 | 1 | 2015 |
| Adaptive Landslide Monitoring in Wireless Sensor Networks Using FLPSO-Based MIP Systems K Lingaraj, RL Malghan, KK Rao, L Garg Results in Engineering, 104329, 2025 | | 2025 |
| Agriculture waste composites 6.1 Effect on density and hardness of aluminum metal matrix composite with the addition of bamboo leaf ash PK Bannaravuri, G Baburao, KCA Rao, PS Rao, AK Birru, KSC Kumar, ... Waste Residue Composites 16, 135, 2023 | | 2023 |
| Influence of Fly Ash and Cement with Molasses Addition on Moulding Properties in Silica Sand: A Comparison KCHA Rao, PK Bannaravuri, AK Birru, PS Rao, G Babu Rao, ... Recent Advances in Materials and Modern Manufacturing: Select Proceedings of …, 2022 | | 2022 |
| Influence of Support Vector Regression (SVR) on Cryogenic Face Milling MAH Karthik Rao M C, Rashmi L Malghan, Fuat Kara, ArunKumar Shettigar ... Hindawi, Advances in Materials Science and Engineering 2021 (9984369), 18, 2021 | | 2021 |
| Multiple Response Optimizations in Milling Using Taguchi and Grey Relational Analysis RL Malghan, K Rao, SS Rao, RJ D’Souza International Journal of Applied Engineering Research 10 (11), 10609-10613, 2015 | | 2015 |
Rashmi Laxmikant MalghanNational Institute of Technology KarnatakaZweryfikowany adres z mits.ac.in
