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Jan Kusiak
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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
1102002
Optimization techniques for extrusion die shape design
J Kusiak, EG Thompson
Numiform 89, 569-574, 1989
841989
Optymalizacja: wybrane metody z przykładami zastosowań
J Kusiak, A Danielewska-Tułecka, P Oprocha
Wydawnictwo Naukowe PWN, 2021
592021
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
471998
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
421996
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
421996
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
372014
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
301998
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
261996
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
252019
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
252012
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
221996
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
212014
Effective strategies of metamodelling of industrial metallurgical processes
J Kusiak, M Pietrzyk
Advances in Engineering Software 89, 90-97, 2015
202015
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
182011
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
181994
Optimization of laminar cooling of hot rolled DP steels
M Pietrzyk, J Kusiak, R Kuziak, W Zalecki
XXVIII Verformungskundliches Kolloquium, Planneralm, 285-294, 2009
162009
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
161995
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
152000
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
142022
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