Sensitivity analysis and identification of the phase transformation model based on the control theory

Sensitivity analysis and identification of the phase transformation model based on the control theory Ivan Milenin, Krzysztof Bzowski, Łukasz Rauch AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2016.4.0590 Abstract: The aim of this work was to improve the previously developed model of austenite-ferrite phase transformation by its identification for selected … Read more

Finite element core calculations and stream processing

Finite element core calculations and stream processing Krzysztof Banaś, Jan Bielański, Kazimierz Chłoń AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2016.4.0591 Abstract: We present the execution model and performance analysis for the important phase of finite element calculations, the creation of systems of linear equations. We assume that the process is … Read more

Strategy for the selection of the best phase transformation model for simulation of metals processing

Strategy for the selection of the best phase transformation model for simulation of metals processing Łukasz Rauch, Krzysztof Bzowski, Konrad Perzyński, Łukasz Madej, Andriy Milenin, Maciej Pietrzyk AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2016.4.0592 Abstract: Connection of the finite element program with phase transformation models is often needed … Read more

Evaluation of efficient computational work division in parallel Monte Carlo grain growth algorithm

Evaluation of efficient computational work division in parallel Monte Carlo grain growth algorithm Mateusz Sitko, Łukasz Madej AGH University of Science and Technology, 30 Mickiewicza Av., Krakow, 30-059 Poland. DOI: https://doi.org/10.7494/cmms.2016.3.0579 Abstract: Implementation of parallel version of the Monte Carlo (MC) grain growth algorithm is the subject of the present paper. First, modifications of the classical … Read more

Data management in CUDA Programming for High Bandwidth Memory in GPU Accelerators

Data management in CUDA Programming for High Bandwidth Memory in GPU Accelerators Grzegorz Korpała Institute of Metal Forming, Technische Universität Bergakademie Freiberg Bernhard v. Cotta Str. 4, 09599 Freiberg, Germany. DOI: https://doi.org/10.7494/cmms.2016.3.0580 Abstract: The number of applications that use GPU accelerated calculations always grows. The software conversion to such calculation type is although complex but gives enormous … Read more

Parallel computing of metal forming simulation in QForm software

Parallel computing of metal forming simulation in QForm software Dmitry Gerasimov, Arthur Gartvig QuantorForm Ltd., Moscow, Russia. DOI: https://doi.org/10.7494/cmms.2016.3.0582 Abstract: In this study, the principle of parallelization of data and tasks implemented in QForm software is described. The dependence of the number of simultaneously working logical processors or cores of a multi-core CPU on the solving time of metal … Read more

Using the System of Graph Grammar for generation of quasi optimal element partition trees in two dimensions

Using the System of Graph Grammar for generation of quasi optimal element partition trees in two dimensions Anna Paszyńska1, Iwona Świderska1, Maciej Woźniak2, Konrad Jopek2, Maciej Paszyński2, Ewa Grabska1, Andrew Lenhart3, Donals Nguyen3, Keshav Pingali3 1Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, ul. St. Łojasiewicza 11, 30-348 Krakow, Poland. 2Department of Computer Science, AGH University of Science and Technology, Al. Mickiewicza … Read more

GPU implementation of Kampmann-Wagner numerical precipitation models

GPU implementation of Kampmann-Wagner numerical precipitation models Øyvind Jensen1, Henrik Lam2, Hallvard Fjær1 1Institute for Energy Technology, N-2027 Kjeller, Norway. 2Impetus AFEA, SE-14160 Huddinge, Sweden. DOI: https://doi.org/10.7494/cmms.2016.3.0581 Abstract: A Kampmann-Wagner type numerical precipitation model (KWN) has been implemented using NVIDIA’s CUDA framework for numerical programming of the graphics processing unit (GPU). Different implementation strategies are discussed and subjected to performance When … Read more

A parallelized model for coupled phase field and crystal plasticity simulation

A parallelized model for coupled phase field and crystal plasticity simulation Mingxuan Lin, Ulrich Prahl Steel Institute, RWTH Aachen University, Germany. DOI: https://doi.org/10.7494/cmms.2016.3.0584 Abstract: The predictive simulation of materials with strong interaction between microstructural evolution and mechanical deformation requires the coupling of two or more multi-physics models. The coupling between phase-field method and various mechanical models have drawn growing … Read more

Topology optimization of carbon based flat structures using parallel computing

Topology optimization of carbon based flat structures using parallel computing Wacław Kuś1, Adam Mrozek2 1Silesian University of Technology, Poland. 2AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2016.3.0585 Abstract: The optimization algorithms based on global techniques like evolutionary algorithms tend to be time consuming due to a very high number … Read more