Follow
Rashmi Laxmikant Malghan
Rashmi Laxmikant Malghan
National Institute of Technology Karnataka
Verified email at mits.ac.in
Title
Cited by
Cited by
Year
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
632018
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
462017
Influence of support vector regression (SVR) on cryogenic face milling
RMC Karthik, RL Malghan, F Kara, A Shettigar, SS Rao, MA Herbert
Advances in Materials Science and Engineering 2021, 1-18, 2021
232021
Application of neural network for the prediction of tensile properties of friction stir welded composites
AK Shettigar, S Prabhu, R Malghan, S Rao, M Herbert
Materials Science Forum 880, 128-131, 2017
152017
Effect of process parameters in face milling operation and analysis of cutting force using indirect method
RL Malghan, KMC Rao, S ArunKumar, SS Rao, RJ D’Souza
Materials and manufacturing processes 33 (13), 1406-1414, 2018
112018
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
82019
Forward and reverse mapping for milling process using artificial neural networks
RL Malghan, K Rao, AK Shettigar, SS Rao, RJ D’Souza
Data in brief 16, 114-121, 2018
82018
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
72022
Dataset on flank wear, cutting force and cutting temperature assessment of austenitic stainless steel AISI316 under dry, wet and cryogenic during face milling operation
KMC Rao, RL Malghan, MA Herbert, SS Rao
Data in brief 26, 104389, 2019
62019
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
42017
Safeguarding against Cyber Threats: Machine Learning-Based Approaches for Real-Time Fraud Detection and Prevention
VR Shetty, RL Malghan
Engineering Proceedings 59 (1), 111, 2023
22023
Effect of welding parameters on microstructure and mechanical Properties of friction stir welded metal matrix composite
AK Shettigar, SRB Prabhu, RL Malghan, MA Herbert, SS Rao
International journal of researches in biosciences, agriculture and …, 2015
22015
Advantages of cryogenic machining technique over without-coolant and with-coolant machining on SS316
MCK Rao, RL Malghan, AK Shettigar, MA Herbert, SS Rao
Engineering Research Express 3 (1), 015040, 2021
12021
Effect of process parameters in face milling operation and analysis of cutting force using indirect method
RL Malghan, KMC Rao, S Arunkumar, SS Rao, RJ D’Souza
Mater. Manuf. Process, 2017
12017
A Comprehensive Study on the Optimization of Drilling Performance in Hybrid Nano-Composites and Neat CFRP Composites Using Statistical and Machine Learning Approaches
T Nargis, SM Shahabaz, S Acharya, N Shetty, RL Malghan, SD Shetty
Journal of Manufacturing and Materials Processing 8 (2), 67, 2024
2024
Optimization of cryogenic processing parameters based on mathematical test functions using a newer hybrid approach (HAIS-GA)
RL Malghan, MC Karthik Rao, HM Vishwanatha
International Journal on Interactive Design and Manufacturing (IJIDeM), 1-13, 2023
2023
Research Article Influence of Support Vector Regression (SVR) on Cryogenic Face Milling
RMC Karthik, RL Malghan, F Kara, A Shettigar, SS Rao, MA Herbert
2021
An Efficient Approach to Optimize Wear Behavior of Cryogenic Milling Process of SS316 Using Regression Analysis and Particle Swarm Techniques
R Karthik, RL Malghan, S ArunKumar, SS Rao, MA Herbert
2019
Development of a Hybrid Recurrent Neural Network Based Intelligent Decision Support System with Reverse Mapping for CNC Machining
RL Malghan
National Institute of Technology Karnataka, Surathkal, 2018
2018
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
The system can't perform the operation now. Try again later.
Articles 1–20