用于锥形流化床三维模拟的密集离散相模型的灵敏度分析

IF 4.1 2区 材料科学 Q2 ENGINEERING, CHEMICAL
Muhammad Adnan , Nouman Ahmad , Pornpote Piumsomboon , Benjapon Chalermsinsuwan
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引用次数: 0

摘要

本研究旨在对密集离散相建模(DDPM)方法的封闭模型和建模参数进行敏感性分析,以研究三维实验室尺度锥形流化床(TFB)的流体动力学。所研究的封闭模型和模型参数包括气固阻力、粘性模型、颗粒-颗粒相互作用模型、回复系数、镜面系数和反弹系数。敏感性分析的主要目的是优化数值模型的性能。敏感性分析得出的轴向和横向固体体积分数(SVF)剖面数值结果表明,阻力和回复系数对 TFB 的流体力学有重大影响。正确选择这些参数可提高数值模型的性能。然而,湍流模型、粒子-粒子相互作用模型、镜面系数和反弹系数的敏感性对流体力学结果的影响较小。最后,本研究推荐了一套闭合模型和建模参数,可最准确地预测 TFB 的流体力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Sensitivity analysis of a dense discrete phase model for 3D simulations of a Tapered fluidized bed

Sensitivity analysis of a dense discrete phase model for 3D simulations of a Tapered fluidized bed

This study aims to conduct a sensitivity analysis of closure models and modeling parameters for the Dense Discrete Phase Modeling (DDPM) approach in order to investigate the hydrodynamics of a 3D lab-scale Tapered Fluidized Bed (TFB). The closure models and model parameters under investigation include the gas-solid drag force, viscous models, particle-particle interaction models, restitution coefficient, specularity coefficient, and rebound coefficient. The primary objective of this sensitivity analysis is to optimize the numerical model's performance. The numerical results, in terms of axial and lateral Solid Volume Fraction (SVF) profiles obtained from the sensitivity analysis, indicate that the drag force and restitution coefficient significantly influence the hydrodynamics of the TFB. Properly selecting these parameters could result in the improved performance of the numerical model. However, the sensitivity of turbulence models, particle-particle interaction models, specularity coefficient, and rebound coefficient has a lesser impact on the hydrodynamics results. This work concludes with the recommendation of a set of closure models and modeling parameters that offer the most accurate prediction of the hydrodynamics of the TFB.

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来源期刊
Particuology
Particuology 工程技术-材料科学:综合
CiteScore
6.70
自引率
2.90%
发文量
1730
审稿时长
32 days
期刊介绍: The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles. Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors. Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology. Key topics concerning the creation and processing of particulates include: -Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales -Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes -Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc. -Experimental and computational methods for visualization and analysis of particulate system. These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.
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