铜换热表面MgO颗粒与碳酸钙混合污垢沉积特性的分子动力学模拟
Molecular Dynamics Simulation of the Deposition Characteristics MgO Particles and Calcium Carbonate Composite Fouling on Copper Heat Transfer Surfaces
孙金泽 1崔晓松 1徐志明 1贾玉婷 1王景涛1
作者信息
- 1. 东北电力大学能源与动力工程学院,吉林省 吉林市 132012
- 折叠
摘要
为探究MgO颗粒与碳酸钙混合污垢在换热表面沉积特性与机理,该文采用分子动力学模拟方法分析MgO颗粒和碳酸钙混合体系在铜换热表面的沉积过程,并通过改变碳酸钙浓度讨论浓度对混合污垢沉积特性的影响规律.结果表明,在混合污垢沉积过程中,碳酸钙团簇在颗粒与换热表面间起到连接作用,形成稳固的沉积状态.此外,MgO 颗粒对离子缔合形成团簇过程中的动力学特性和结构特性有所影响.随着碳酸钙浓度由0.26 mol/L升至1.1 mol/L,换热表面直接吸附的碳酸钙团簇数量变多,MgO 颗粒更容易通过碳酸钙团簇的相互作用沉积在换热表面.MgO 颗粒促进了碳酸钙的缔合过程,碳酸钙促进了混合团簇的沉积,进而形成初始沉积阶段的混合污垢.
Abstract
To study the deposition characteristics and mechanism of composite fouling of MgO particles and calcium carbonate on the heat transfer surface,a molecular dynamics method is adopted to investigate the deposition process of MgO particles and calcium carbonate composite fouling on copper heat transfer surface,and the influence of calcium carbonate concentration on the deposition characteristics of composite fouling is discussed.The results show that in the process of composite fouling deposition,calcium carbonate clusters play a connecting role between the particles and the heat transfer surface,forming a stable deposition state.In addition,MgO particles have an effect on the kinetic and structural characteristics of the formation of clusters by ion association.As the concentration of calcium carbonate increases from 0.26mol/L to 1.1mol/L,the number of calcium carbonate clusters directly adsorbed on the heat transfer surface increases,and MgO particles are easier to deposit on the heat transfer surface through the interaction of calcium carbonate clusters.MgO particles promote the process of calcium carbonate aggregation,and calcium carbonate promotes the deposition of mixed clusters,which form the initial stage of composite fouling deposition.
关键词
碳酸钙/MgO颗粒/铜换热表面/混合污垢/沉积特性/分子动力学模拟Key words
calcium carbonate/MgO particles/copper heat transfer surface/composite fouling/deposition characteristics/molecular dynamics simulation引用本文复制引用
基金项目
国家自然科学基金青年科学基金(52106196)
吉林省自然科学基金(20220101256JC)
出版年
2024
国家科技期刊平台
NSTL
万方数据