Application of the Equivalent Markov Motion Model in Solving Solid Particle Erosion and Droplet Deposition

Author:

Zhang Ri1,Wang Yumiao1

Affiliation:

1. College of Engineering, Ocean University of China , Qingdao 266100, China

Abstract

Abstract The equivalent Markov motion model (EMMM) is used to improve the probability model for solid particle erosion and droplet deposition. When calculating the solid particle erosion, the probability density distribution of particle velocity developed by EMMM is used to improve the solution of the impact parameters of solid particles. When calculating the droplet deposition rate of annular flow, the conversion coefficient proposed by EMMM is used to correct the variance of the particle displacement. The proportion of the particles deposited is calculated by solving the probability of a single particle reaching the pipe wall or liquid film. The improved model involving the EMMM is well verified by comparison with experimental data. Compared with the previous probability model, the present model can provide more accurate predictions. In addition, the self-compatibility of the EMMM is discussed in detail.

Funder

National Natural Science Foundation of China

Publisher

ASME International

Subject

Mechanical Engineering

Reference42 articles.

1. Deposition Process and Equivalent Markov Motion of High-Inertia Particles in a Long Straight Pipeline;ASME J. Fluids Eng.,2021

2. A CFD-Based Method for Slurry Erosion Prediction;Wear,2018

3. Modeling Sand Fines Erosion in Elbows Mounted in Series;Wear,2018

4. Study of Erosion Prediction of Turbulent Gas-Solid Flow in Plugged Tees Via CFD-DEM;Powder Technol.,2019

5. Numerical Prediction of Particle Erosion of Pipe Bends;Adv. Powder Technol.,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3