| Modelling of microstructure and mechanical properties of steel using the artificial neural network J Kusiak, R Kuziak Journal of materials processing technology 127 (1), 115-121, 2002 | 111 | 2002 |
| Optimization techniques for extrusion die shape design J Kusiak, EG Thompson Numiform 89, 569-574, 1989 | 84 | 1989 |
| Optymalizacja: wybrane metody z przykładami zastosowań J Kusiak, A Danielewska-Tułecka, P Oprocha Wydawnictwo Naukowe PWN, 2021 | 59 | 2021 |
| Prediction of damage evolution in forged aluminium metal matrix composites using a neural network approach SM Roberts, J Kusiak, YL Liu, A Forcellese, PJ Withers Journal of Materials Processing Technology 80, 507-512, 1998 | 49 | 1998 |
| Inverse analysis applied to the evaluation of material parameters in the history dependent flow stress equation in hot forming of metals J Kusiak, R Kawalla, M Pietrzyk, H Pircher Journal of materials processing technology 60 (1-4), 455-461, 1996 | 42 | 1996 |
| A technique of tool-shape optimization in large scale problems of metal forming J Kusiak Journal of materials processing technology 57 (1-2), 79-84, 1996 | 42 | 1996 |
| Conventional and multiscale modeling of microstructure evolution during laminar cooling of DP steel strips M Pietrzyk, J Kusiak, R Kuziak, Ł Madej, D Szeliga, R Gołąb Metallurgical and Materials Transactions A 45, 5835-5851, 2014 | 38 | 2014 |
| Analysis of the effect of die shape on the distribution of mechanical properties and strain field in the tube sinking process M Rumiński, J Łuksza, J Kusiak, M Paćko Journal of Materials Processing Technology 80, 683-689, 1998 | 30 | 1998 |
| Autonomous interpretation of the microstructure of steels and special alloys B Mulewicz, G Korpala, J Kusiak, U Prahl Materials science forum 949, 24-31, 2019 | 26 | 2019 |
| State of strain in the tube sinking process L Sadok, J Kusiak, M Paćko, M Rumiński Journal of Materials Processing Technology 60 (1-4), 161-166, 1996 | 26 | 1996 |
| Application of inverse analysis with metamodelling for identification of metal flow stress Ł Sztangret, D Szeliga, J Kusiak, M Pietrzyk Canadian Metallurgical Quarterly 51 (4), 440-446, 2012 | 25 | 2012 |
| Numerical prediction of the development of particle stress in the forging of aluminium metal matrix composites SM Roberts, J Kusiak, PJ Withers, SJ Barnes, PB Prangnell Journal of materials processing technology 60 (1-4), 711-718, 1996 | 22 | 1996 |
| Data Exploration Approach Versus Sensitivity Analysis for Optimization of Metal Forming Processes K Regulski, D Szeliga, J Kusiak Key Engineering Materials 611, 1390-1395, 2014 | 21 | 2014 |
| Effective strategies of metamodelling of industrial metallurgical processes J Kusiak, M Pietrzyk Advances in Engineering Software 89, 90-97, 2015 | 20 | 2015 |
| Modeling of the oxidizing roasting process of zinc sulphide concentrates using the artificial neural networks J Kusiak, P Jarosz, S Małecki Computer Methods in Materials Science 11 (1), 122-127, 2011 | 18 | 2011 |
| Die shape design and evaluation of microstructure control in the closed-die axisymmetric forging by using FORGE2 program J Kusiak, M Pietrzyk, JL Chenot ISIJ international 34 (9), 755-760, 1994 | 18 | 1994 |
| Optimization of laminar cooling of hot rolled DP steels M Pietrzyk, J Kusiak, R Kuziak, W Zalecki XXVIII Verformungskundliches Kolloquium, Planneralm, 285-294, 2009 | 16 | 2009 |
| Application of FE simulation of the compression test to the evaluation of constitutive equations for steels at elevated temperatures J Kusiak, M Pietrzyk, JG Lenard Proc. NUMIFORM 95, 277-282, 1995 | 16 | 1995 |
| Inverse problem in stochastic approach to modelling of microstructural parameters in metallic materials during processing K Klimczak, P Oprocha, J Kusiak, D Szeliga, P Morkisz, P Przybyłowicz, ... Mathematical Problems in Engineering 2022 (1), 9690742, 2022 | 15 | 2022 |
| Application of artificial neural networks in on-line control of hot flat rolling processes J Kusiak, D Svietlichnyj, M Pietrzyk Int. J. Engineering Simulation 1, 317-23, 2000 | 15 | 2000 |
Piotr OprochaZweryfikowany adres z agh.edu.pl
