SR Pedapati
SR Pedapati
Other namesP Srinivasa Rao, Pedapati Srinivasa Rao, P S Rao
College of Engineering, The University of Texas Permian Basin
Verified email at - Homepage
Cited by
Cited by
Prediction of bead geometry in pulsed GMA welding using back propagation neural network
KM Kanti, PS Rao
Journal of materials processing technology 200 (1-3), 300-305, 2008
Effect of process parameters and mathematical model for the prediction of bead geometry in pulsed GMA welding
PS Rao, OP Gupta, SSN Murty, ABK Rao
The International Journal of Advanced Manufacturing Technology 45, 496-505, 2009
A Comparison of Different Finite Element Methods in the Thermal Analysis of Friction Stir Welding (FSW)
B Meyghani, MB Awang, SS Emamian, MKBM Nor, SR Pedapati
Metals 7 (10), 2017
A feed-forward back propagation neural network approach to predict the life condition of crude oil pipeline
NB Shaik, SR Pedapati, SAA Taqvi, AR Othman, FAA Dzubir
Processes 8 (6), 661, 2020
Electrical Discharge Machining on Biodegradable AZ31 Magnesium Alloy Using Taguchi Method
MA Razak, AM Abdul-Rani, TVVLN Rao, SR Pedapati, S Kamal
Procedia Engineering 148, 916-922, 2016
A review of advances in resistance spot welding of automotive sheet steels: emerging methods to improve joint mechanical performance
IA Soomro, SR Pedapati, M Awang
The International Journal of Advanced Manufacturing Technology, 1-32, 2021
Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta …
AKM Nor, SR Pedapati, M Muhammad, V Leiva
Sensors 21 (23), 8020, 2021
A review: Thin protective coating for wear protection in high-temperature application
M Awang, AA Khalili, SR Pedapati
Metals 10 (1), 42, 2019
Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data
AKM Nor, SR Pedapati, M Muhammad, V Leiva
Mathematics 10 (4), 554, 2022
Investigation on Gas Hydrates Formation and Dissociation in Multiphase Gas Dominant Transmission Pipelines
SJK Sahith, SR Pedapati, B Lal
Applied Sciences 10 (15), 5052, 2020
An intelligent model to predict the life condition of crude oil pipelines using artificial neural networks
NB Shaik, SR Pedapati, AR Othman, K Bingi, AFA Dzubir
Neural Computing and Applications, 2021
Optimization of postweld tempering pulse parameters for maximum load bearing and failure energy absorption in dual phase (DP590) steel resistance spot welds
IA Soomro, SR Pedapati, M Awang
Materials Science and Engineering: A 803, 140713, 2021
Recurrent neural network-based model for estimating the life condition of a dry gas pipeline
NB Shaik, W Benjapolakul, SR Pedapati, K Bingi, NT Le, W Asdornwised, ...
Process Safety and Environmental Protection 164, 639-650, 2022
Effect of Tilt Angle and Pin Depth on Dissimilar Friction Stir Lap Welded Joints of Aluminum and Steel Alloys
V Chitturi, SR Pedapati, M Awang
Materials 12 (23), 3901, 2019
Reliability engineering applications in electronic, software, nuclear and aerospace industries: A 20 year review (2000–2020)
AKM Nor, SR Pedapati, M Muhammad
Ain Shams Engineering Journal 12 (3), 3009-3019, 2021
Effects of eccentricity and arc rotational speed on weld bead geometry in pulsed GMA welding of 5083 aluminum alloy
S Kumar, PS Rao, A Ramakrishna
Journal of Mechanical Engineering Research 3 (6), 186-196, 2011
Morphological Characterization, statistical modeling and wear behavior of AA7075-Titanium Carbide-Graphite surface composites via Friction Stir Processing
NA Patil, SR Pedapati, OB Mamat, AMHS Lubis
Journal of Materials Research and Technology 11, 2160-2180, 2021
Phase behavior study on gas hydrates formation in gas dominant multiphase pipelines with crude oil and high CO 2 mixed gas
JKS Sayani, SR Pedapati, B Lal
Scientific Reports 10 (1), 1-12, 2020
Remaining useful life prediction of a piping system using artificial neural networks: A case study
NB Shaik, SR Pedapati, FABA Dzubir
Ain Shams Engineering Journal 13 (2), 101535, 2022
Determination and analysis of leak estimation parameters in two-phase flow pipelines using OLGA multiphase software
SK Vandrangi, TA Lemma, SM Mujtaba, SR Pedapati
Sustainable Computing: Informatics and Systems 31, 100564, 2021
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