Effect of Conductive Materials and Binder Distribution on Mass Transport by Multi-Scale Simulation Method

2014 ◽  
Keyword(s):  
Mass Transport ◽  
Simulation Method ◽  
Conductive Materials ◽  
Multi Scale

Modeling and Multi-scale Simulation Method Combining Facility Action and Compressed Air Supply in Manufacturing System

2017 ◽  
Vol 2017 (0) ◽  
pp. 212
Author(s):  
Hitoshi NAGASAWA ◽  
Hironori HlBlNO ◽  
Humihito KIMURA ◽  
Motonobu HASHIMOTO ◽  
Norihumi KASE
Keyword(s):  
Manufacturing System ◽  
Simulation Method ◽  
Compressed Air ◽  
Multi Scale ◽  
Air Supply

Mass Transport in Nanoalloys Studied by Atomistic Models

2017 ◽  
Vol 12 ◽  
pp. 23-37 ◽  
Author(s):  
Riccardo Ferrando
Keyword(s):  
Molecular Dynamics ◽  
Mass Transport ◽  
Molecular Dynamics Simulations ◽  
Gas Phase ◽  
Metallic Nanoparticles ◽  
Simulation Method ◽  
Impurity Atoms ◽  
Atomistic Models ◽  
Dynamics Simulations ◽  
Small Nanoparticles

The diffusion of atoms in nanoparticles can be studied computationally by Molecular Dynamics simulations, a simulation method which allow to follow the actual trajectories of the diffusing atoms. Here we focus on the simulation of diffusion in metallic nanoparticles, first considering the case of single impurity atoms in matrix clusters, and then on the simulation of the growth in gas phase. We show that diffusion of atoms in nanoparticles can take place by a variety of different mechanisms, which very often involve collective displacements. These collective displacements are facilitated in the vicinity of the cluster surface, which, in small nanoparticles, includes a large portion of the nanoparticle itself.

Multi-Scale Simulation of MBE-Grown SiC/Si Nanostructures

2006 ◽  
Vol 527-529 ◽  
pp. 315-318 ◽  
Author(s):  
Alexander A. Schmidt ◽  
Yuri V. Trushin ◽  
K.L. Safonov ◽  
V.S. Kharlamov ◽  
Dmitri V. Kulikov ◽  
...  
Keyword(s):  
Kinetic Monte Carlo ◽  
Spatial Scales ◽  
Cluster Formation ◽  
Three Dimensional ◽  
Bulk Diffusion ◽  
Simulation Method ◽  
Atomic Scale ◽  
Rate Equations ◽  
Surface Evolution ◽  
Multi Scale

The main obstacle for the implementation of numerical simulation for the prediction of the epitaxial growth is the variety of physical processes with considerable differences in time and spatial scales taking place during epitaxy: deposition of atoms, surface and bulk diffusion, nucleation of two-dimensional and three-dimensional clusters, etc. Thus, it is not possible to describe all of them in the framework of a single physical model. In this work there was developed a multi-scale simulation method for molecular beam epitaxy (MBE) of silicon carbide nanostructures on silicon. Three numerical methods were used in a complex: Molecular Dynamics (MD), kinetic Monte Carlo (KMC), and the Rate Equations (RE). MD was used for the estimation of kinetic parameters of atoms at the surface, which are input parameters for other simulation methods. The KMC allowed the atomic-scale simulation of the cluster formation, which is the initial stage of the SiC growth, while the RE method gave the ability to study the growth process on a longer time scale. As a result, a full-scale description of the surface evolution during SiC formation on Si substrates was developed.

scholarly journals Experimental Study on the Piezoresistivity of Concrete Containing Steel Fibers, Carbon Black, and Graphene

2021 ◽  
Vol 8 ◽  
Author(s):  
Shijun Wang ◽  
Amardeep Singh ◽  
Qiong Liu
Keyword(s):  
Carbon Black ◽  
Coupling Effect ◽  
Peak Load ◽  
Steel Fibers ◽  
Conductive Materials ◽  
Multi Scale ◽  
Nano Scale ◽  
Pressure Sensitive ◽  
Macro Scale ◽  
Contrast Group

Adding conductive materials to cement-based composites can lead to pressure-sensitive properties. In this study, different scales of conductive materials were incorporated, including macro-scale steel fibers, micro-scale carbon black powder, and nano-scale graphene. The coupling effect of three scales of materials ensured that the intelligent concrete had improved strength, lower cost, and comparable pressure-sensitive performance. The results show that the strength of intelligent concrete with multi-scale conductive materials is higher than that of the contrast group of ordinary concrete and intelligent concrete when adding nano-scale graphene alone. Especially, the addition of steel fibers significantly improved the crack resistance of the intelligent concrete. In the elastic stage, the resistivity of intelligent concrete of multi-scale conductive materials decreases with the increase in compression, and the decrease range of resistivity is approximately proportional to the external force. After reaching the peak load, the resistivity of the intelligent concrete gradually increases and can illustrate the damage evolution. This study lays a foundation for the application of intelligent concrete in deformation and damage monitoring.

scholarly journals Energy–Economy Coupled Simulation Approach and Simulator Based on Invididual-Based Model

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2771
Author(s):  
Jisong Zhu ◽  
Zhaoxia Jing ◽  
Tianyao Ji ◽  
Nauman Ali Larik
Keyword(s):  
Modeling And Simulation ◽  
Distributed Simulation ◽  
Simulation Method ◽  
Energy System ◽  
Simulation Approach ◽  
Individual Based Model ◽  
Multi Scale ◽  
Integrated Energy System ◽  
Energy Economy ◽  
The Individual

An integrated energy system, referred to specifically as a heterogeneous energy system that combines cooling, heating, power, etc., is a dynamic system containing continuous as well as discrete behaviors on both technical and economic levels. Currently, the comprehensive utilization of multiple forms of energy and the implementation of the energy market have made the simulation of such a system very complicated, which is reflected in two aspects. First, the simulation model becomes complex and varied. Second, the time-varying characteristics of the models are quite diverse. Therefore, a standard and normative modeling and simulation method is urgently needed. This work aims to obtain a compatible modeling and simulation method for the energy economy coupling system. The individual-based model is widely used to describe organisms in an ecology system that are similar to the energy–economy coupled system. Inspired by this, a general simulation approach based on the individual-based model is proposed in this paper to overcome these existing problems. The standard formal expression model is built, then its structure and elements explained in detail, and multi-scale time simulation supported to model and simulate an integrated energy system that is coupled with markets. In addition, a simulator is designed and implemented based on multi-agent framework and model-view-controller architecture. Finally, a simulation case of a conceived scenario was designed and executed, and the results analysis proved the validity and versatility of the proposed approach. The proposed method has the advantages of model standardization, multi-scale time compatibility, distributed simulation capability, and privacy protection. These advantages support and strengthen each other. Through these studies, a systematic approach was formed that could improve the standardization of modeling and simulation in the energy–economy research area.

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