| Application of adaptive neuro fuzzy inference system and genetic algorithm for pressure path optimization in sheet hydroforming process A Yaghoobi, M Bakhshi-Jooybari, A Gorji, H Baseri The International Journal of Advanced Manufacturing Technology 86, 2667-2677, 2016 | 63 | 2016 |
| Pressure path optimization of hydrodynamic deep drawing of cylindrical-conical parts A Yaghoobi, H Baseri, M Bakhshi-Jooybari, A Gorji International Journal of Precision Engineering and Manufacturing 14, 2095-2100, 2013 | 18 | 2013 |
| Optimization of pressure path in sheet hydroforming process using artificial intelligence and simulated annealing A Yaghoobi, M Bakhshi-Jooybari, A Gorji, H Baseri Key Engineering Materials 622, 772-779, 2014 | 9 | 2014 |
| Experimental study of drawing load curves in forming conical parts by hydroforming and conventional deep drawing processes S Norouzi, AR Yaghoubi, M Bakhshi-Jooybari, A Gorji Advanced Materials Research 291, 556-560, 2011 | 8 | 2011 |
| Artificial intelligence approach to predict thinning in the hydroforming process A Yaghoobi, A Gorji, M Bakhshi-Jooybari, H Baseri Advances in Materials and Processing Technologies 2 (2), 252-257, 2016 | 3 | 2016 |
| Comparison of forming conical parts by hydroforming and conventional deep drawing processes AR Yaghoubi, M Bakhshi‐Jooybari, A Gorji, S Norouzi AIP Conference Proceedings 1315 (1), 457-462, 2011 | 3 | 2011 |
| Thickness Distribution in Conical Parts Formed by Hydroforming and Conventional Multistage Deep Drawing Processes A Gorji, AR Yaghoubi, M Bakhshi-Jooybari, S Norouzi Advanced Materials Research 189, 2884-2887, 2011 | 1 | 2011 |