The paper presents web base system for an application of parallel object-oriented programming technique in modelling of rolling process of steel plates with semi-solid zone. It also throws light on the problem of semi-solid steels yield stress relationship, one of the main input data of the simulation, and on application of inverse solution, the only possible method of development of the stress-strain curves at extremely high temperatures. Due to limitations of available computer resources a very accurate computation can sometimes be impossible or the time performance can be a barrier for practical application of complex sequential models. Taking advantage of parallel computing the authors have developed an algorithm allowing for fast computation using multiple processors, which is the main subject of the presented paper.Keywords: parallel computation, semi-solid state, FEM modelling, inverse analysis, solidification W pracy zaprezentowano system internetowy dla aplikacji wykorzystującej obliczenia równoległe oraz obiektowe techniki programowania do modelowaniu procesu walcowania blach z występowaniem strefy półciekłej. Określenie granicy plastyczności dla stali w stanie półciekłym jest niezwykle trudne, niezbędne dane w postaci krzywych naprężenie-odkształcenie w ekstra wysokich temperaturach można uzyskać jedynie przy zastosowaniu analizy odwrotnej. Ze względu na ograniczenie dostępnych zasobów komputerowych, a także złożoność modeli obliczeniowych, bardzo dokładne analizy mogą być bardzo czasochłonne, a w pewnych przypadkach nawet niemożliwe. Autorzy, wykorzystując obliczenia równoległe, opracowali algorytm pozwalający na szybkie obliczenia przy użyciu wielu procesorów, co jest głównym przedmiotem niniejszej pracy.
A Novel Fe/MC-bAsed MAtheMAtiCAl Model oF Mushy steel deForMAtioN with GPu suPPortThe paper presents the results of work leading to the construction of a spatial hybrid model based on finite element (FE) and Monte Carlo (MC) methods allowing the computer simulation of physical phenomena accompanying the steel sample testing at temperatures that are characteristic for soft-reduction process. The proposed solution includes local density variations at the level of mechanical solution (the incompressibility condition was replaced with the condition of mass conservation), and at the same time simulates the grain growth in a comprehensive resistance heating process combined with a local remelting followed by free/controlled cooling of the sample tested. simulation of grain growth in the entire computing domain would not be possible without the support of GPU processors. There was a 59-fold increase in the computing speed on the GPU compared to single-threaded computing on the CPU. The study was complemented by examples of experimental and computer simulation results, showing the correctness of the adopted model assumptions.
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