Johnson Cook material and failure model parameters estimation of AISI-1045 medium carbon steel for metal forming applications M Murugesan, DW Jung Materials 12 (4), 609, 2019 | 233 | 2019 |
Two flow stress models for describing hot deformation behavior of AISI-1045 medium carbon steel at elevated temperatures M Murugesan, DW Jung Heliyon 5 (4), 2019 | 26 | 2019 |
Investigation on wear characteristics of AZ91D/nanoalumina composites ML Bharathi, SA Rag, L Chitra, RM Ashick, V Tripathi, SS Kumar, ... Journal of Nanomaterials 2022 (1), 2158516, 2022 | 24 | 2022 |
The theoretical prediction of the boundary-layer-blockage and external flow choking at moving aircraft in ground effects VR Sanal Kumar, V Saravanan, V Srinivasan, S Ganesh Shankar, S Mani, ... Physics of Fluids 33 (3), 2021 | 23 | 2021 |
Hybrid machine learning optimization approach to predict hot deformation behavior of medium carbon steel material M Murugesan, M Sajjad, DW Jung Metals 9 (12), 1315, 2019 | 22 | 2019 |
Dynamic mechanical analysis of banyan/ramie fibers reinforced with nanoparticle hybrid polymer composite T Raja, V Mohanavel, M Ravichandran, SS Kumar, MD Albaqami, ... Advances in Polymer Technology 2022 (1), 1560330, 2022 | 21 | 2022 |
Formability and failure evaluation of AA3003-H18 sheets in single-point incremental forming process through the design of experiments M Murugesan, DW Jung Materials 14 (4), 808, 2021 | 20 | 2021 |
A comparative study of ductile damage models approaches for joint strength prediction in hot shear joining process M Murugesan, S Lee, D Kim, YH Kang, N Kim Procedia engineering 207, 1689-1694, 2017 | 18 | 2017 |
Johnson cook material and failure model parameters estimation of AISI-1045 medium carbon steel for metal forming applications. Materials (Basel) 2019; 12 M Murugesan, J DW AIP Conf. Proc., American Institute of Physics 32, 289-305, 1994 | 18* | 1994 |
Multi-objective design optimization of composite stiffened panel using response surface methodology M Murugesan, BS Kang, K Lee Composites Research 28 (5), 297-310, 2015 | 16 | 2015 |
Experimental and numerical investigation of AA5052-H32 Al alloy with U-Profile in cold roll forming M Murugesan, M Sajjad, DW Jung Materials 14 (2), 470, 2021 | 13 | 2021 |
Optimization of forming parameters in incremental sheet forming of AA3003-H18 sheets using Taguchi method M Murugesan, JH Yu, KS Jung, SM Cho, KS Bhandari, CW Lee Materials 15 (4), 1458, 2022 | 12 | 2022 |
Microstructure evaluation and constitutive modeling of AISI-1045 steel for flow stress prediction under hot working conditions M Murugesan, M Sajjad, DW Jung Symmetry 12 (5), 782, 2020 | 12 | 2020 |
A comparative study on Arrhenius-type constitutive models with regression methods K Lee, M Murugesan, SM Lee, BS Kang Transactions of Materials Processing 26 (1), 18-27, 2017 | 12 | 2017 |
Supervised machine learning approach for modeling hot deformation behavior of medium carbon steel M Murugesan, JH Yu, KS Jung, SM Cho, KS Bhandari, W Chung, CW Lee steel research international 94 (2), 2200188, 2023 | 10 | 2023 |
Experimental investigations on incremental sheet forming of commercial aluminum alloys for maximum production quality MS Mohanraj Murugesan, DW Jung International Journal of Mechanical Engineering and Robotics Research 9 (9 …, 2020 | 10 | 2020 |
Artificial intelligence-based quality management and detection system for personalized learning H Yu, J Wang, M Murugesan, ABMS Rahman Journal of Interconnection Networks 22 (Supp02), 2143004, 2022 | 8 | 2022 |
Formability evaluation of aluminum alloy sheets in incremental sheet forming process using various forming parameters M Murugesan, M Sajjad, DW Jung Int. J. Mech. Prod. Eng. Res. Dev 10, 6621-6632, 2020 | 7 | 2020 |
Back propagation artificial neural network approach to predict the flow stress in isothermal tensile test of medium carbon steel material M Murugesan, DW Jung Materials Science Forum 977, 163-168, 2020 | 7 | 2020 |
Investigation On Single Point Incremental Forming Process Considering Various Tool Path Definitions M Murugesan, S Muhammad, J D.W. International Journal of Mechanical and Production Engineering Research and …, 2019 | 6 | 2019 |