| New advances and future possibilities in forming technology of hybrid metal–polymer composites used in aerospace applications T Trzepieciński, SM Najm, M Sbayti, H Belhadjsalah, M Szpunar, ... Journal of Composites Science 5 (8), 217, 2021 | 96 | 2021 |
| Emerging trends in single point incremental sheet forming of lightweight metals T Trzepieciński, V Oleksik, T Pepelnjak, SM Najm, I Paniti, K Maji Metals 11 (8), 1188, 2021 | 68 | 2021 |
| Recent developments and future challenges in incremental sheet forming of aluminium and aluminium alloy sheets T Trzepieciński, SM Najm, V Oleksik, D Vasilca, I Paniti, M Szpunar Metals 12 (1), 124, 2022 | 51 | 2022 |
| Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF SM Najm, I Paniti The International Journal of Advanced Manufacturing Technology 114, 2591-2615, 2021 | 43 | 2021 |
| Current trends in metallic materials for body panels and structural members used in the automotive industry T Trzepieciński, SM Najm Materials 17 (3), 590, 2024 | 38 | 2024 |
| Predict the Effects of Forming Tool Characteristics on Surface Roughness of Aluminum Foil Components Formed by SPIF Using ANN and SVR SM Najm, I Paniti International Journal of Precision Engineering and Manufacturing 22 (1), 13-26, 2021 | 38 | 2021 |
| Parametric effects of single point incremental forming on hardness of AA1100 aluminium alloy sheets SM Najm, I Paniti, T Trzepieciński, SA Nama, ZJ Viharos, A Jacso Materials 14 (23), 7263, 2021 | 35 | 2021 |
| Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets SM Najm, I Paniti Journal of Intelligent Manufacturing 34 (1), 331-367, 2023 | 24 | 2023 |
| Study on Effecting Parameters of Flat and Hemispherical end Tools in SPIF of Aluminium Foils SM Najm, I Paniti Tehnički vjesnik 27 (6), 1844-1849, 2020 | 24 | 2020 |
| Application of artificial neural networks to the analysis of friction behaviour in a drawbead profile in sheet metal forming T Trzepieciński, SM Najm Materials 15 (24), 9022, 2022 | 22 | 2022 |
| Lubricants and affecting parameters on hardness in SPIF of AA1100 aluminium SM Najm, I Paniti, ZJ Viharos Proceedings of the 17th IMEKO TC 10, 2020 | 18 | 2020 |
| Modelling and parameter identification of coefficient of friction for deep-drawing quality steel sheets using the CatBoost machine learning algorithm and neural networks SM Najm, T Trzepieciński, M Kowalik The International Journal of Advanced Manufacturing Technology 124 (7), 2229 …, 2023 | 17 | 2023 |
| Current concepts for cutting metal-based and polymer-based composite materials T Trzepieciński, SM Najm, HG Lemu Journal of composites science 6 (5), 150, 2022 | 16 | 2022 |
| Experimental investigation on the single point incremental forming of AlMn1Mg1 foils using flat end tools SM Najm, I Paniti IOP Conference Series: Materials Science and Engineering 448 (1), 012032, 2018 | 15 | 2018 |
| Incremental sheet forming of metal-based composites used in aviation and automotive applications T Trzepieciński, SM Najm, T Pepelnjak, K Bensaid, M Szpunar Journal of Composites Science 6 (10), 295, 2022 | 14 | 2022 |
| Experimental and numerical investigation of single point incremental forming of aluminium alloy foils I Paniti, ZJ Viharos, D Harangozó, SM Najm Acta Imeko 9 (1), 25-31, 2020 | 13 | 2020 |
| Minimizing the main strains and thickness reduction in the single point incremental forming process of polyamide and high-density polyethylene sheets N Rosca, M Oleksik, L Rosca, E Avrigean, T Trzepieciński, SM Najm, ... Materials 16 (4), 1644, 2023 | 12 | 2023 |
| The Effect of using Grease on the Surface Roughness of Aluminum 1100 Sheet during the Single Point Incremental Forming Process SA Nama, NSM Namer, SM Najm J. Trends Mach. Des. 1 (1), 53–56, 2014 | 9 | 2014 |
| Analysis of the Frictional Performance of AW-5251 Aluminium Alloy Sheets Using the Random Forest Machine Learning Algorithm and Multilayer Perceptron T Trzepieciński, SM Najm, OM Ibrahim, M Kowalik Materials 16 (15), 5207, 2023 | 7 | 2023 |
| Experimental and Numerical Investigations of the Fatigue Life of AA2024 Aluminium Alloy-Based Nanocomposite Reinforced by TiO2 Nanoparticles Under the … HM Mahan, SV Konovalov, SM Najm, O Mihaela, T Trzepieciński International Journal of Precision Engineering and Manufacturing 25 (1), 141-153, 2024 | 6 | 2024 |
mgr inż. Tomasz TrzepiecińskiPolitechnika Rzeszowska im. Ignacego ŁukasiewiczaEmail verificata su prz.edu.pl