Coagulation rate coefficient in colloidal systems: A hybrid stochastic-deterministic theory

被引:3
|
作者
Herrera-Ordonez, Jorge [1 ]
Cuatecontzi, Magali [2 ]
Carro, Shirley [2 ]
机构
[1] Univ Nacl Autonoma Mexico, Ctr Fis Aplicada & Tecnol Avanzada CFATA, Campus Juriquilla,Blvd Juriquilla 3001, Juriquilla 76230, Queretaro Qro, Mexico
[2] Univ Autonoma Tlaxcala, Fac Ciencias Basicas Ingn & Tecnol, Calzada Apizaquito S-N, Apizaco 90300, Tlaxcala, Mexico
关键词
Coagulation rate coefficient; Smoluchowski; Collins-Kimball; Stochastic-deterministic model; Effectiveness factor; Diffusion-reaction; EMULSION POLYMERIZATION; RAPID COAGULATION; PARTICLE-SIZE; VISCOSITY; AGGREGATION; NUCLEATION; RADICALS; FORCES; ENTRY;
D O I
10.1016/j.ces.2020.116289
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The Smoluchowski's coagulation rate coefficient (k(c-S)) has been used for decades notwithstanding its predictions are not always consistent with experimental data. In this work, k(c-S) and Herrera-Ordonez (k(c-HO)) models, were modified and combined to obtain a hybrid equation k(c-h) for the rate coefficient of rapid coagulation. Modification of k(c-S) consisted in adapting the concepts of diffusion-reaction, such as effectiveness factor F, to the case of particle coagulation which is considered a pseudo-reaction. Unlike the deterministic and stochastic approaches, the hybrid model k(c-h) can fit experimental data for the effects of size and concentration of particles, on kc, using only one adjustable parameter value for all particle sizes. The higher predictability of k(c-h) suggests that their assumptions are more realistic. The behavior of F indicates that the fusion of relatively large particles is more effective than that of small particles to produce the sink effect. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] Integrated Design of Input and Observer Gain for Active Fault Diagnosis Based on Hybrid Stochastic-Deterministic Approach
    Tan, Junbo
    He, Jiabao
    Zhang, Shengli
    Wang, Xueqian
    Liang, Bin
    2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), 2022, : 898 - 903
  • [22] HSD-WO: A Hybrid Stochastic-Deterministic Waveform Optimization Method for Joint Tracking and Anti-Interference
    Zhang, Yibo
    Li, Yang
    Ye, Chunmao
    Zhu, Yunrong
    Ding, Wenbo
    Xu, Xiao
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2024, 60 (04) : 4825 - 4843
  • [23] Hybrid stochastic-deterministic algorithms for the interpretation of Electrochemical Impedance Spectroscopy spectra of Proton Exchange Membrane Fuel Cells
    Wu, P.
    Touhami, S.
    Ait-Idir, W.
    Yelloz, H.
    Marty, C.
    Micoud, F.
    Dillet, J.
    Lottin, O.
    Mainka, J.
    ELECTROCHIMICA ACTA, 2025, 518
  • [25] Stochastic-Deterministic Thermal Dosimetry Below 6 GHz for 5G Mobile Communication Systems
    Susnjara, Anna
    Dodig, Hrvoje
    Poljak, Dragan
    Cvetkovic, Mario
    IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, 2021, 63 (05) : 1667 - 1679
  • [26] Hybrid deterministic/stochastic simulation of complex biochemical systems
    Lecca, Paola
    Bagagiolo, Fabio
    Scarpa, Marina
    MOLECULAR BIOSYSTEMS, 2017, 13 (12) : 2672 - 2686
  • [27] Hybrid deterministic/stochastic algorithm for large sets of rate equations
    Gherardi, M.
    Jourdan, T.
    Le Bourdiec, S.
    Bencteux, G.
    COMPUTER PHYSICS COMMUNICATIONS, 2012, 183 (09) : 1966 - 1973
  • [28] Monthly streamflow prediction using a hybrid stochastic-deterministic approach for parsimonious non-linear time series modeling
    Wang, Zhen
    Attar, Nasrin Fathollahzadeh
    Khalili, Keivan
    Behmanesh, Javad
    Band, Shahab S.
    Mosavi, Amir
    Chau, Kwok-wing
    ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2020, 14 (01) : 1351 - 1372
  • [29] Mixed stochastic-deterministic time-dependent density functional theory: application to stopping power of warm dense carbon
    White, Alexander J.
    Collins, Lee A.
    Nichols, Katarina
    Hu, S. X.
    JOURNAL OF PHYSICS-CONDENSED MATTER, 2022, 34 (17)
  • [30] Crest Factor Optimization for Multisine Excitation Signals with Logarithmic Frequency Distribution Based on a Hybrid Stochastic-Deterministic Optimization Algorithm
    Kallel, Ahmed Yahia
    Kanoun, Olfa
    BATTERIES-BASEL, 2022, 8 (10):