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Eswaraiah Kesha
Eswaraiah Kesha
Professor
Verified email at kitsw.ac.in
Title
Cited by
Cited by
Year
Fabrication of Al–SiC–B4C metal matrix composite by powder metallurgy technique and evaluating mechanical properties
AK Bodukuri, K Eswaraiah, K Rajendar, V Sampath
Perspectives in Science 8, 428-431, 2016
1452016
Optimization of EDM process parameters in machining of 17-4 PH steel using Taguchi method
S Chandramouli, K Eswaraiah
Materials Today: Proceedings 4 (2), 2040-2047, 2017
582017
Optimization of electrical discharge machining process parameters using Taguchi method
S Chandramouli, U Shrinivas Balraj, K Eswaraiah
International Journal of Advanced Mechanical Engineering 4 (4), 425-434, 2014
552014
Experimental investigation of EDM process parameters in machining of 17-4 PH Steel using taguchi method
S Chandramouli, K Eswaraiah
Materials Today: Proceedings 5 (2), 5058-5067, 2018
262018
Comparison of Aluminum Alloy 5083 properties on TIGW and FSW Processes
AK Bodukuri, K Eswaraiah, K Rajendar
Materials Today: Proceedings 4 (9), 10197-10201, 2017
242017
Experimental Investigation and optimization of EDM process parameters on Aluminum metal matrix composite
AK Bodukuri, S Chandramouli, K Eswaraiah, J Laxman
Materials Today: Proceedings 5 (11), 24731-24740, 2018
112018
Prediction of electric discharge machining process parameters using artificial neural network
S Velpula, K Eswaraiah, S Chandramouli
Materials Today: Proceedings 18, 2909-2916, 2019
92019
Modeling of electrical discharge machining of 17-4 PH steel using regression analysis and artificial neural network
S Chandramouli, K Eswaraiah
International Journal of Applied Engineering Research 11, 4359-4362, 2016
42016
Investigation of optimum compacting parameters for aluminium, SiCP and B4C composites
AK Bodukuri, K Eswaraiah, K Rajendar, V Pradeep
Materials Today: Proceedings 5 (13), 26866-26872, 2018
32018
Modeling of EDM Process Parameters in Machining of 17-4 PH Steel using Artificial Neural Network
S Chandramouli, K Eswaraiah
Indian Journal of Science and Technology 9 (1), 1-7, 2016
32016
Mathematical Modeling of Process Parameters in Electrical Discharge Machining on 17-4 PH Steel using Regression Analysis
S Chandramouli, K Eswaraiah
ARNP Journal of Engineering and Applied Sciences 11 (3), 837-841, 2016
32016
Experimental Study of Drilling Processparameters on Aluminummetal Matrix Composites
J Laxman, K Eswaraiah, PP Rao
J Emerg Tech Innovat Resear 5, 1601-1606, 2018
22018
Hierarchical parallel processing for design optimization-a case study
B Satish, PSS Murthy, K Eswaraiah
Materials Today: Proceedings 5 (2), 5117-5123, 2018
22018
Kinematic analysis of a spatial mechanism for estimating shaking effects
PSS Murthy, A Satyadevi, AG Krishna, K Eswaraiah
Journal of Physics: Conference Series 662 (1), 012024, 2015
22015
Experimental investigation and optimization for friction and wear behavior of aluminum LM 25/h-BN/B4C composites via mixture design and desirability approach
K Rajendar, K Eswaraiah
International Journal on Interactive Design and Manufacturing (IJIDeM), 1-13, 2022
12022
Fabrication and Experimental Investigation of Aluminum LM 25/h-BN/B4C Hybrid Composites for Automobile Applications
K Rajendar, K Eswaraiah
Technology Innovation in Mechanical Engineering: Select Proceedings of TIME …, 2022
12022
Investigation on machining of hybrid metal matrix composite
AK Bodukuri, K Eswaraiah, V Pradeep
Materials Science Forum 969, 846-851, 2019
12019
Mass Distribution in a Spatial Mechanism to Reduce Shaking Moment
PSS Murthy, A Satyadevi, AG Krishna, K Eswaraiah
Indian Journal of Science and Technology, 2016
12016
Multi-Objective Optimization of Machining Parameters of 13-8 PH Steel for Die Sinking EDM Using RSM and Hybrid Human Eye Vision Algorithm
S Velpula, K Eswaraiah
Journal of Advanced Manufacturing Systems 22 (04), 879-910, 2023
2023
Investigation on the effect of reinforcement compositions on the properties of Aluminum LM 25/h-BN/B 4 C hybrid composites
R Katla, K Eswaraiah
2023
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