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 | 158 | 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 | 100 | 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 | 76 | 2017 |
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 | 59 | 2016 |
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 | 43 | 2020 |
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 | 30 | 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 | 24 | 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 | 22 | 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 | 18 | 2020 |
A review: thin protective coating for wear protection in high-temperature application M Awang, AA Khalili, SR Pedapati Metals 10 (1), 42, 2019 | 18 | 2019 |
Application of artificial neural networks on measurement of gas hydrates in pipelines SJAK Sahith, SR Pedapati, B Lal Test Eng. Manag 81, 5769-5774, 2019 | 18 | 2019 |
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 | 18 | 2019 |
Optimization of Weld Bead Penetration in Pulsed Gas Metal Arc Welding using Genetic Algorithm KM Kanti, PS Rao, GR Janardhana International Journal of Emerging Technology and Advanced Engineering 3 (5 …, 2013 | 17 | 2013 |
Application of in situ post weld heat treatment using double pulse technology and its effect on microstructure and mechanical performance of resistance spot welded HSLA350 steel IA Soomro, SR Pedapati The International Journal of Advanced Manufacturing Technology 105, 3249-3260, 2019 | 16 | 2019 |
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 | 15 | 2021 |
Effect of SiC/fly ash reinforcement on surface properties of aluminum 7075 hybrid composites NA Patil, SR Pedapati, OB Mamat, AM Hidayat Syah Lubis Coatings 10 (6), 541, 2020 | 15 | 2020 |
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 | 15 | 2011 |
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 | 14 | 2022 |
Development of arc rotation mechanism and experimental studies on pulsed GMA welding with and without arc rotation PS Rao PhD thesis, IIT Kharagpur, India, 2004 | 14 | 2004 |
A Review on Underwater Friction Stir Welding (UFSW) D Paramaguru, SR Pedapati, M Awang The Advances in Joining Technology, 71-83, 2019 | 13* | 2019 |