Computer Methods in Materials Science
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ISSN 2720-4081
e-ISSN: 2720-3948
Issue Date
2020
Volume
Vol. 20
Number
No. 3
Description
Journal Volume
Computer Methods in Materials Science
Vol. 20 (2020)
Projects
Pages
Articles
An efficient Monte Carlo Potts method for the grain growth simulation of single-phase systems
(2020) Maazi, Noureddine; Lezzar, Balahouane
The choice of the lattice sites to be reoriented in the Monte Carlo Potts algorithm for grain growth simulation is repeated in a non-homogeneous way. Therefore, some grains are favorably growing than others. This fact may seriously affect the simulationresults. Soa modified MC method is presented. Lattice sites are selected for reorientation one by one following their positions in the matrix in each Monte Carlo step (mcs). This approach ensures that the various selections of one lattice site within every mcs are eliminated, and no favorable growth of grains at the expense of others. The calculation time considerably decreases. The effect of real-time and physical temperature on the grain growth kinetics is discussed.
A hybrid statistical approach for texture images classification based on scale invariant features and mixture gamma distribution
(2020) Benlakhdar, Said; Rziza, Mohammed; Oulad Haj Thami, Rachid
Image classification refers to an important process in computer vision. The purpose of this paper is to propose a novel approach named GGD-GMM and based on statistical modeling in the wavelet domain to describe textured images and rely on a number of principles that give its internal coherence and originality. Firstly, we propose arobust algorithm based on the combination of the wavelet transform and Scale Invariant Feature Transform. Secondly, we implement the aforementioned algorithm and fit the result using the finite mixture gamma distribution (GMM). The results, obtained for two benchmark datasets show that the proposed algorithm has a good relevance as it provides higher classification accuracy than some other well-known models (Kohavi, 1995). Moreover, it shows other advantages relied upon Noise-resistant and rotation invariant.
On the method of changing the temperature of liquids and gases in a transportation system by local heating or cooling
(2020) Pankratov, Evgenij L.
In this paper, we consider an approach to changing the temperature of liquids and gases in apipeline by local heating and cooling. The concept is based on the introduction of changes in the temperature series of the pipeline sections due to the external modification these sections’ temperature. This situation could be used as a heat sink or to increase temperature. A developed heat transfer model in apipeline also accounts for convection due to liquid/gas transport. An analytical approach for the analysis of liquid/gas transport that takes into account the transport of heat due to convection was also introduced. The approach allows the spatial and temporal variation of parameters of transport to be taken into account as well as considerations of the nonlinearity of the investigated processes.
Numerical investigation of the influence of explosive welding process setup on the Ti/Cu interlayer morphology
(2020) Mojżeszko, Mateusz; Setty, Mohan
Explosive welding is a complex process involving various phenomena influenced by a series of parameters in a noticeably short span of time which affect the morphology and eventually the quality of the weld. Therefore, this paper aims to investigate the influence of these parameters on material behavior with a series of numerical simulations based on a meshless approach. The developed model is based on the SPH (Smoothed Particle Hydrodynamics) method and is used to investigate Ti/Cu system behavior as a case study. Examples of the resulting temperatures and pressures as a function of process setup are presented within the paper. The results obtained demonstrate how weld morphology is related to the process conditions.
Mean field and full field modelling of microstructure evolution and phase transformations during hot forming and cooling of low carbon steels
(2020) Szeliga, Danuta; Bzowski, Krzysztof; Rauch, Łukasz; Kuziak, Roman; Pietrzyk, Maciej
The paper describes a critical comparison of mean field and full field approaches to modelling hot deformation/controlled cooling sequences for steels. Classification of the models, based on the balance between predictive capabilities and computing costs, is presented. Mean field models, which describe microstructure evolution and phase transformations were connected with thermomechanical finite element program and applied to simulation of the hot strip rolling process and cooling of tubes after hot rolling. Full field model described in the paper is a connection of the finite element (FE) and level set (LSM) methods. These methods were used to simulate heating/cooling sequence in the continuous annealing line. A suggestion to use a stochastic model as a bridge between mean field and full field approaches is made.