| Neural network-based assessment of the stress concentration factor in a T-welded joint M Dabiri, M Ghafouri, HRR Raftar, T Björk Journal of constructional steel research 128, 567-578, 2017 | 46 | 2017 |
| Utilizing artificial neural networks for stress concentration factor calculation in butt welds M Dabiri, M Ghafouri, HRR Raftar, T Björk Journal of Constructional Steel Research 138, 488-498, 2017 | 29 | 2017 |
| Re-evaluation of weld root fatigue strength for load-carrying fillet welded joints using the notch stress concept HR Raftar, M Dabiri, A Ahola, T Björk International Journal of Fatigue 144, 106076, 2021 | 18 | 2021 |
| Simulation and experiment on residual stress and deflection of cruciform welded joints HR Raftar, A Ahola, K Lipiäinen, T Björk Journal of Constructional Steel Research 208, 108023, 2023 | 17 | 2023 |
| Weld root fatigue assessment of load-carrying fillet welded joints: 4R method compared to other methods HR Raftar, E Dabiri, A Ahola, T Björk International Journal of Fatigue 156, 106623, 2022 | 14 | 2022 |
| On the interaction of axial and bending loads in the weld root fatigue strength assessment of load-carrying cruciform joints A Ahola, RR Hamidreza, T Björk, O Kukkonen Welding in the World 66 (4), 731-744, 2022 | 7 | 2022 |
| Application of artificial neural network and genetic algorithm to predict and optimize load and torque in T-section profile ring rolling A Parvizi, HR Rohani Raftar Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2019 | 6 | 2019 |
| Evaluation of strain–life fatigue curve estimation methods and their application to a direct-quenched high-strength Steel M Dabiri, M Ghafouri, HR Rohani Raftar, T Björk Journal of Materials Engineering and Performance 27, 1058-1072, 2018 | 3 | 2018 |
| Assessing local stresses in scanned fillet weld geometry using bagged decision trees HR Raftar, M Ghanadi, G Hultgren, A Ahola, Z Barsoum, T Björk Journal of Constructional Steel Research 218, 108745, 2024 | 2 | 2024 |
| Prediction and optimization of load and torque in ring rolling process through development of artificial neural network and evolutionary algorithms HR Rohani Raftar, A Parvizi Journal of Computational Applied Mechanics 49 (2), 292-303, 2018 | 2 | 2018 |
| Fatigue behavior of load-carrying cruciform fillet weld joints under variable amplitude load HR Raftar, A Ahola, K Lipiäinen, T Björk Journal of Constructional Steel Research 215, 108559, 2024 | 1 | 2024 |
| Assessment of weld root fatigue strength of load-carrying fillet welded joints using notch stress approaches and finite element analysis H Rohani Raftar LUT University, 2023 | 1 | 2023 |
| Backward design K Lipiäinen, M Ghafouri, H Raftar, R Neuvonen, T Pesonen, A Ahola, ... Fossil-free Steel Applications, 51, 2024 | | 2024 |
| Study of Machining Parameters For 15-5 PH Steel Material HR Rohani Raftar, M Ghafouri, A Jafari Harandi Bi-annual conference on Experimental Solid Mechanic (X-Mech 2014), 2014 | | 2014 |
| Review of Effects of Feedrate and Cutting Speed on Roughness of 15-5 PH Steel Material HR Rohani Raftar, M Ghafouri, A Jafari Harandi 2nd International Mechanical Engineering Conference (ISME 2014), 2014 | | 2014 |
Timo BjörkTeräsrakenteiden professoriVerified email at lut.fi
