| Fuzzy logic based model for predicting surface roughness of machined Al–Si–Cu–Fe die casting alloy using different additives-turning MM Barzani, E Zalnezhad, AAD Sarhan, S Farahany, S Ramesh Measurement 61, 150-161, 2015 | 146 | 2015 |
| Investigating the Machinability of Al–Si–Cu cast alloy containing bismuth and antimony using coated carbide insert MM Barzani, AAD Sarhan, S Farahany, R Singh, I Maher | 79 | 2015 |
| Tool wear prediction in high-speed turning of a steel alloy using long short-term memory modelling M Marani, M Zeinali, V Songmene, CK Mechefske Measurement 177, 109329, 2021 | 70 | 2021 |
| Increasing the productivity of the wire-cut electrical discharge machine associated with sustainable production I Maher, AAD Sarhan, MM Barzani, M Hamdi Journal of Cleaner Production 108, 247-255, 2015 | 68 | 2015 |
| Multi-response analysis in the processing of poly (methyl methacrylate) nano-fibres membrane by electrospinning based on response surface methodology: fibre diameter and bead … HM Khanlou, BC Ang, S Talebian, MM Barzani, M Silakhori, H Fauzi Measurement 65, 193-206, 2015 | 58 | 2015 |
| The influence of bismuth, antimony, and strontium on microstructure, thermal, and machinability of aluminum-silicon alloy MM Barzani, S Farahany, NM Yusof, A Ourdjini Materials and manufacturing processes 28 (11), 1184-1190, 2013 | 40 | 2013 |
| Prediction of cutting tool wear during a turning process using artificial intelligence techniques M Marani, M Zeinali, J Kouam, V Songmene, CK Mechefske The International Journal of Advanced Manufacturing Technology 111, 505-515, 2020 | 39 | 2020 |
| Fuzzy logic-based model for predicting material removal rate and average surface roughness of machined Nimonic 80A using abrasive-mixed electro-discharge diamond surface grinding unne- mohsen marani neural computing and applications, 2016 | 36* | 2016 |
| Neuro-fuzzy predictive model for surface roughness and cutting force of machined Al–20 Mg2Si–2Cu metal matrix composite using additives M Marani, V Songmene, M Zeinali, J Kouam, Y Zedan Neural Computing and Applications 32, 8115-8126, 2020 | 33 | 2020 |
| Machinability characteristics, thermal and mechanical properties of Al-Mg2Si in-situ composite with bismuth MM Barzani, S Farahany, V Songmene Measurement 110, 263-274, 2017 | 27 | 2017 |
| White layer thickness prediction in wire-EDM using CuZn-coated wire electrode–ANFIS modelling I Maher, AAD Sarhan, H Marashi, MM Barzani, M Hamdi Transactions of the IMF 94 (4), 204-210, 2016 | 27 | 2016 |
| Prediction and characterization of surface roughness using sandblasting and acid etching process on new non-toxic titanium biomaterial: adaptive-network-based fuzzy inference … S Khanlou, H. Ang, B. Barzani, M. Silakhori, M. Talebian Neural Computing and Applications 26 (7), 2015 | 26 | 2015 |
| A systematic study of maghemite/PMMA nano-fibrous composite via an electrospinning process: synthesis and characterization HM Khanlou, BC Ang, S Talebian, MM Barzani, M Silakhori, H Fauzi Measurement 70, 179-187, 2015 | 17 | 2015 |
| Experimental investigation on microstructure, mechanical properties and dust emission when milling Al-20Mg2Si-2Cu metal matrix composite with modifier elements M Marani, V Songmene, J Kouam, Y Zedan The International Journal of Advanced Manufacturing Technology 99, 789-802, 2018 | 15 | 2018 |
| Effect of machining parameters on cutting force when turning untreated and Sb-treated Al-11% Si-1.8% Cu alloys using PVD coated tools MM Barzani, MY Noordin, S Farahany, A Ourdjini Applied Mechanics and Materials 234, 74-77, 2012 | 15 | 2012 |
| Investigation into effect of tool wear on drilling force and surface finish while dry drilling aluminum 2024 SA Ashrafi, A Davoudinejad, MM Barzani, P Salehi Advanced Materials Research 548, 387-392, 2012 | 10 | 2012 |
| Neuro-fuzzy based predictive model for cutting force in CNC turning process of Al–Si–Cu cast alloy using modifier elements SFCKM Mohsen Marani, Mohammadjavad Zeinali SN Applied Sciences 3 (72 (2021). https://doi.org/10.1007/s4), 2021 | 9 | 2021 |
| Prediction, modeling and characterization of surface texturing by sulfuric etchant on non-toxic titanium biomaterial using artificial neural networks and fuzzy Logic system BCAMMB Hossein Mohammad Khanlou Science and Engineering of Composite Materials 23 (4), 2015 | 9* | 2015 |
| White layer thickness prediction in WEDM-ANFIS modeling I Maher, AAD Sarhan, H Marashi, MM Barzani, M Hamdi Proceedings of Malaysian International Tribology Conference 2015, 240-241, 2015 | 5 | 2015 |
| Effects of Cutting Condition on Surface Roughness when Turning Untreated and Sb-Treated Al-11% Si Alloys Using PVD Coated Tools MM Barzani, NM Yusof, S Farahany, AA Farid, A Davoudinejad Applied Mechanics and Materials 315, 413-417, 2013 | 5 | 2013 |
Saeed Farahany (0000-0002-1532-04...Imam Khomeini international university , Buein Zahra Technical University (ROR 02nee2y72)在 bzte.ac.ir 的电子邮件经过验证
