| Study on minimum quantity lubrication (MQL) in grinding of carbon fiber-reinforced SiC matrix composites (CMCs) H Adibi, H Esmaeili, SM Rezaei The International Journal of Advanced Manufacturing Technology, 1-15, 2017 | 51 | 2017 |
| An efficient strategy for grinding carbon fiber-reinforced silicon carbide composite using minimum quantity lubricant H Esmaeili, H Adibi, SM Rezaei Ceramics International 45 (8), 10852-10864, 2019 | 32 | 2019 |
| Study on surface integrity and material removal mechanism in eco-friendly grinding of Inconel 718 using numerical and experimental investigations H Esmaeili, H Adibi, SM Rezaei The International Journal of Advanced Manufacturing Technology 112, 1797-1818, 2021 | 24 | 2021 |
| Coupled thermo-mechanical analysis and optimization of the grinding process for Inconel 718 superalloy using single grit approach H Esmaeili, H Adibi, R Rizvi, SM Rezaei Tribology International 171, 107530, 2022 | 8 | 2022 |
| An accelerated strategy to characterize mechanical properties of polymer composites using the ensemble learning approach H Esmaeili, R Rizvi Computational Materials Science 229, 112432, 2023 | 2 | 2023 |
| Experimental evaluation of electrophoretic deposition-assisted polishing H Adibi, M Khani, H Esmaeili Proceedings of the Institution of Mechanical Engineers, Part E: Journal of …, 2021 | 2 | 2021 |
| Experimental study on grinding forces and specific energy in three different environments of grinding carbon fiber reinforced silicon carbide composite H Esmaeili, H Adibi, SM Rezaei Modares Mechanical Engineering 18 (1), 379-387, 2018 | 2 | 2018 |
| Surface Quality, Efficiency and Process Optimization of Grinding Carbon Fiber-Reinforced Silicon Carbide Composite H Esmaeili, H Adibi, SM Rezaei Modares Mechanical Engineering 20 (6), 1409-1421, 2020 | 1 | 2020 |
| Machine learning predictions and benchmarking of non-linear mechanical behavior of polymer composites H Esmaeili, R Rizvi Behavior and Mechanics of Multifunctional Materials XVII 12484, 128-134, 2023 | | 2023 |
| Machine learning-based prediction of bulk tensile behavior of glass fiber-reinforced polymer composites H Esmaeili, R Rizvi International Additive Manufacturing Conference (I-AM2022), 2022 | | 2022 |
| Modelling and optimization of creep feed grinding parameters for gas turbine blades H Esmaeili, H Adibi, SM Rezaei Modares Mechanical Engineering 15 (13), 318-322, 2016 | | 2016 |
