Simplified model for mass diffusivity estimation based on dynamic pendant drop volume analysis

被引:0
|
作者
Vargas Pedro
Guerrero Junior
Jiménez Maria
Zabala Damelys
机构
[1] Universidad Nacional Experimental Francisco de Miranda,Departamento de Energética
[2] Universidad de Carabobo,undefined
[3] CIMEC,undefined
来源
Heat and Mass Transfer | 2012年 / 48卷
关键词
Mass Diffusivity; Drop Volume; Mass Transfer Model; Pendant Drop; Spherical Drop;
D O I
暂无
中图分类号
学科分类号
摘要
We present a simplified correlation for calculating the dissolved gas moles in a pendant drop during the diffusion time, for several drop shapes. After this correlation is determined, the Yang and Gu (Ind Eng Chem Res 44:4474–4483, 2005) dynamic pendant drop volume analysis (DPDVA) method for calculation of mass diffusivity from the pendant drop volume variation against time can be used. We solved the differential equation in cylindrical coordinates for the mass transfer model of the gas diffusion into the liquid inside the pendant drop, using a different characteristic length (LC), instead of the outer radius of the syringe needle (rn) used in Yang and Gu (Ind Eng Chem Res 44:4474–4483, 2005) for defining the dimensionless variables. LC is the relationship between the pendant drop volume and its mass transfer surface area at the initial conditions. The generalized correlation saves time, simplifies the method application and the deviations in the diffusion coefficient calculation respect to the complete Yang and Gu model are below 6%.
引用
收藏
页码:93 / 98
页数:5
相关论文
共 50 条
  • [31] An estimation method of load drop amount using feature analysis of fault data with a nonlinear dynamic load model
    Advanced Technology R and D Center, Mitsubishi Electric Corporation, 8-1-1, Tsukaguchi-honmachi, Amaeasaki 661-8661
    不详
    不详
    不详
    不详
    IEEJ Trans. Power Energy, 2006, 9 (869-877):
  • [32] Static and dynamic analysis of Timoshenko beam model based on the finite volume method
    Jing, Lilong
    Zhang, Wenping
    Ming, Pingjian
    Fu, Lirong
    Liu, Xiaogang
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2015, 36 (09): : 1217 - 1222
  • [33] Uncertainty analysis of flow velocity estimation by a simplified entropy model
    Corato, G.
    Melone, F.
    Moramarco, T.
    Singh, V. P.
    HYDROLOGICAL PROCESSES, 2014, 28 (03) : 581 - 590
  • [34] SIMPLIFIED ESTIMATE OF FATIGUE DAMAGE BASED ON DYNAMIC ANALYSIS
    Dekys, Vladimir
    Kriska, Pavol
    Lietava, Ladislav
    Kopas, Peter
    Stalmach, Ondrej
    SCIENTIFIC JOURNAL OF SILESIAN UNIVERSITY OF TECHNOLOGY-SERIES TRANSPORT, 2018, 99 : 15 - 23
  • [35] SIMPLIFIED NONLINEAR RATCHET MODEL FOR DYNAMIC ANALYSIS OF PRESSURE COMPONENTS
    LAZZERI, L
    JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME, 1992, 114 (03): : 321 - 327
  • [36] Towards a Simplified Dynamic Wake Model Using POD Analysis
    Bastine, David
    Witha, Bjoern
    Waechter, Matthias
    Peinke, Joachim
    ENERGIES, 2015, 8 (02) : 895 - 920
  • [37] Random dynamic analysis for simplified vehicle model based on explicit time-domain method
    Huang, Huan
    Li, Yuyu
    Li, Wenxiong
    Tang, Guihe
    COUPLED SYSTEMS MECHANICS, 2023, 12 (01): : 1 - 20
  • [38] A dynamic GIS-based tool for truck volume estimation
    Boilé, M
    Golias, M
    ITE JOURNAL-INSTITUTE OF TRANSPORTATION ENGINEERS, 2004, 74 (12): : 42 - 46
  • [39] DYNAMIC MODELING OF SEMIAUTOGENOUS MILLING BASED ON A SIMPLIFIED PHENOMENOLOGICAL MODEL
    MAGNE, L
    AMESTICA, R
    BARRIA, J
    MENACHO, J
    REVISTA DE METALURGIA, 1995, 31 (02) : 97 - 105
  • [40] Mass estimation method for intelligent vehicles based on fusion of machine learning and vehicle dynamic model
    Yu Z.
    Hou X.
    Leng B.
    Huang Y.
    Autonomous Intelligent Systems, 2022, 2 (01):