Quantifying growth and breakage of agglomerates in fluid-particle flow using discrete particle method

doi:10.1016/j.cjche.2017.05.018

Chinese Journal of Chemical Engineering ›› 2018, Vol. 26 ›› Issue (5): 914-921.DOI: 10.1016/j.cjche.2017.05.018

• Fluid Dynamics and Transport Phenomena • 上一篇下一篇

Quantifying growth and breakage of agglomerates in fluid-particle flow using discrete particle method

Lingfeng Zhou^1,2, Junwu Wang¹, Wei Ge^1,2, Shiwen Liu^1,2, Jianhua Chen¹, Ji Xu¹, Limin Wang¹, Feiguo Chen¹, Ning Yang¹, Rongtao Zhou^1,2, Lin Zhang¹, Qi Chang³, Philippe Ricoux⁴, Alvaro Fernandez⁵

1 State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Tianjin University, Tianjin 300072, China;
4 TOTAL SA-R & D Groupe, Paris 92069, France;
5 Total Research & Technology Feluy, Belgium, Germany

收稿日期:2017-04-28 修回日期:2017-04-28 出版日期:2018-05-28 发布日期:2018-06-29
通讯作者: Junwu Wang,E-mail address:jwwang@ipe.ac.cn
基金资助:
Supported by TOTAL (DS-2885), the National Natural Science Foundation of China (91434201, 21422608) and the "Strategic Priority Research Program" of the Chinese Academy of Sciences (XDA07080000).

Quantifying growth and breakage of agglomerates in fluid-particle flow using discrete particle method

1 State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China;
2 University of Chinese Academy of Sciences, Beijing 100049, China;
3 Tianjin University, Tianjin 300072, China;
4 TOTAL SA-R & D Groupe, Paris 92069, France;
5 Total Research & Technology Feluy, Belgium, Germany

Received:2017-04-28 Revised:2017-04-28 Online:2018-05-28 Published:2018-06-29
Contact: Junwu Wang,E-mail address:jwwang@ipe.ac.cn
Supported by:
Supported by TOTAL (DS-2885), the National Natural Science Foundation of China (91434201, 21422608) and the "Strategic Priority Research Program" of the Chinese Academy of Sciences (XDA07080000).

摘要/Abstract

摘要： The cohesive solids in liquid flows are featured by the dynamic growth and breakage of agglomerates, and the difficulties in the development, design and optimization of these systems are related to this significant feature. In this paper, discrete particle method is used to simulate a solid-liquid flow system including millions of cohesive particles, the growth rate and breakage rate of agglomerates are then systematically investigated. It was found that the most probable size of the agglomerates is determined by the balance of growth and breakage of the agglomerates the cross point of the lines of growth rate and breakage rate as a function of the particle numbers in an agglomerate, marks the most stable agglomerate size. The finding here provides a feasible way to quantify the dynamic behaviors of growth and breakage of agglomerates, and therefore offers the possibility of quantifying the effects of agglomerates on the hydrodynamics of fluid flows with cohesive particles.

关键词: Agglomerate, Growth and breakage, Quantification, Discrete particle method

Abstract: The cohesive solids in liquid flows are featured by the dynamic growth and breakage of agglomerates, and the difficulties in the development, design and optimization of these systems are related to this significant feature. In this paper, discrete particle method is used to simulate a solid-liquid flow system including millions of cohesive particles, the growth rate and breakage rate of agglomerates are then systematically investigated. It was found that the most probable size of the agglomerates is determined by the balance of growth and breakage of the agglomerates the cross point of the lines of growth rate and breakage rate as a function of the particle numbers in an agglomerate, marks the most stable agglomerate size. The finding here provides a feasible way to quantify the dynamic behaviors of growth and breakage of agglomerates, and therefore offers the possibility of quantifying the effects of agglomerates on the hydrodynamics of fluid flows with cohesive particles.

Key words: Agglomerate, Growth and breakage, Quantification, Discrete particle method

Lingfeng Zhou, Junwu Wang, Wei Ge, Shiwen Liu, Jianhua Chen, Ji Xu, Limin Wang, Feiguo Chen, Ning Yang, Rongtao Zhou, Lin Zhang, Qi Chang, Philippe Ricoux, Alvaro Fernandez. Quantifying growth and breakage of agglomerates in fluid-particle flow using discrete particle method[J]. Chinese Journal of Chemical Engineering, 2018, 26(5): 914-921.

参考文献

[1] J.R.V. Ommen, M.O. Coppens, C.M.V.D. Bleek, J.C. Schouten, Early warning of agglomeration in fluidized beds by attractor comparison, AIChE J. 46(11) (2000) 2183-2197.

[2] J.H. Li, M. Kwauk, Exploring complex systems in chemical engineering-The multiscale methodology, Chem. Eng. Sci. 58(3-6) (2003) 521-535.

[3] M. Horio, R. Clift, A note on terminology:'clusters' and 'agglomerates', Powder Technol. 70(3) (1992) 196.

[4] Y. Xiong, S.E. Pratsinis, Formation of agglomerate particles by coagulation and sintering-Part I. A two-dimensional solution of the population balance equation, J. Aerosol Sci. 24(3) (1993) 283-300.

[5] S. Heinrich, J. Blumschein, M. Henneberg, M. Ihlow, M. Peglow, L. Morl, Study of dynamic multi-dimensional temperature and concentration distributions in liquidsprayed fluidized beds, Chem. Eng. Sci. 58(23-24) (2003) 5135-5160.

[6] F. Parveen, C. Briens, F. Berruti, J. Mcmillan, Effect of particle size, liquid content and location on the stability of agglomerates in a fluidized bed, Powder Technol. 237(3) (2013) 376-385.

[7] D.I.W. Pietsch, Agglomeration Processes:Phenomena, Technologies, Equipment, Wiley, 2008.

[8] Z. Mansourpour, N. Mostoufi, R. Sotudeh-Gharebagh, Investigating agglomeration phenomena in an air-polyethylene fluidized bed using DEM-CFD approach, Chem. Eng. Res. Des. 92(1) (2014) 102-118.

[9] S.V. Manyele, J.H. Parssinen, J.X. Zhu, Characterizing particle aggregates in a highdensity and high-flux CFB riser, Chem. Eng. J. 88(1-3) (2002) 151-161.

[10] R. Cocco, F. Shaffer, R. Hays, S.B.R. Karri, T. Knowlton, Particle clusters in and above fluidized beds, Powder Technol. 203(1) (2010) 3-11.

[11] M. Bartels, J. Nijenhuis, F. Kapteijn, J.R.V. Ommen, Detection of agglomeration and gradual particle size changes in circulating fluidized beds, Powder Technol. 202(1) (2010) 24-38.

[12] Y.J. Cao, Z.J. Shi, B.Z. Yang, C.G. Duan, J.D. Wang, Y.R. Yang, Detection of agglomeration in gas-phase polymerization fluidized-bed by using sound wave technique, Petrochem. Technol. 35(8) (2006) 766-769.

[13] T. Zhou, The calculation model of agglomerate sizes in fluidized beds of cohesive particles, Chem. React. Eng. Technol. 15(1) (1999) 44-51.

[14] S. Matsuda, H. Hatano, M. Tomoya, A. Tsutsumi, Modeling for size reduction of agglomerates in nanoparticle fluidization, AICHE J. 50(11) (2004) 2763-2771.

[15] S. Morooka, K. Kusakabe, A. Kobata, Y. Kato, Fluidization state of ultrafine powders, J. Chem. Eng. Jpn. 21(1) (1988) 41-46.

[16] K. Kuwagi, M. Horio, A numerical study on agglomerate formation in a fluidized bed of fine cohesive particles, Chem. Eng. Sci. 57(22-23) (2002) 4737-4744.

[17] T. Mikami, H. Kamiya, M. Horio, Numerical simulation of cohesive powder behavior in a fluidized bed, Chem. Eng. Sci. 53(10) (1998) 1927-1940.

[18] Y. Tatemoto, Y. Mawatari, K. Noda, Numerical simulation of cohesive particle motion in vibrated fluidized bed, Chem. Eng. Sci. 59(2) (2004) 437-447.

[19] P.B. Tran, R.J. Miller, Onset of cohesive behavior in gas fluidized beds:A numerical study using DEM simulation, Chem. Eng. Sci. 56(14) (2001) 4433-4438.

[20] L.Q. Lu, J. Xu, W. Ge, Y.P. Yue, X.H. Liu, J.H. Li, EMMS-based discrete particle method (EMMS-DPM) for simulation of gas-solid flows, Chem. Eng. Sci. 120(2014) 67-87.

[21] Y. Tsuji, T. Kawaguchi, T. Tanaka, Discrete particle simulation of two-dimensional fluidized bed, Powder Technol. 77(1) (1993) 79-87.

[22] B.P.B. Hoomans, J.A.M. Kuipers, W.J. Briels, W.P.M.V. Swaaij, Discrete particle simulation of bubble and slug formation in a two-dimensional gas-fluidised bed:A hardsphere approach, Chem. Eng. Sci. 51(1) (1996) 99-118.

[23] B.H. Xu, A.B. Yu, Numerical simulation of the gas-solid flow in a fluidized bed by combining discrete particle method with computational fluid dynamics, Chem. Eng. Sci. 52(16) (1997) 2785-2809.

[24] P.A. Cundall, O.D.L. Strack, A discrete numerical mode for granular assemblies, Geotechnique 29(1) (1979) 47-65.

[25] P.A. Hartley, G.D. Parfitt, L.B. Pollack, The role of the van der Waals force in the agglomeration of powders containing submicron particles, Powder Technol. 42(1) (1985) 35-46.

[26] L.J. Mclaughlin, M.J. Rhodes, Prediction of fluidized bed behaviour in the presence of liquid bridges, Powder Technol. 114(1) (2001) 213-223.

[27] J.P.K. Seville, H. Silomon-Pflug, P.C. Knight, Modelling of sintering in high temperature gas fluidisation, Powder Technol. 97(2) (1998) 160-169.

[28] J.E. Galvin, S. Benyahia, The effect of cohesive forces on the fluidization of aeratable powders, AICHE J. 60(2) (2014) 473-484.

[29] H.C. Hamaker, The London-van der Waals attraction between spherical particles, Physica 4(10) (1937) 1058-1072.

[30] C.Y. Wen, Y.H. Yu, Mechanics of fluidization, Chem. Eng. Prog. Symp. Ser. 62(1966) 100-111.

[31] J. Xu, H.B. Qi, X.J. Fang, L.Q. Lu, W. Ge, X.W. Wang, M. Xu, F.G. Chen, X.F. He, J.H. Li, Quasi-real-time simulation of rotating drum using discrete element method with parallel GPU computing, Particuology 9(4) (2011) 446-450.

[32] W. Ge, J. Xu, Q.G. Xiong, X.W. Wang, F.G. Chen, L.M. Wang, C.F. Hou, M. Xu, J.H. Li, Multi-scale Continuum-particle Simulation on CPU-GPU Hybrid Supercomputer, Springer, Berlin Heidelberg, 2013.

[33] J.H. Chen, R.T. Zhou, N. Yang, High concentrated liquid-solid flow in 2D bed for PE fluff swelling research, Technical Report, Institute of Process Engineering, CAS, 2015.

[34] R.Y. Yang, A.B. Yu, S.K. Choi, M.S. Coates, H.K. Chan, Agglomeration of fine particles subjected to centripetal compaction, Powder Technol. 184(1) (2007) 122-129.

[35] D.Y. Liu, B.G.M. Van Wachem, R.F. Mudde, X.P. Chen, J.R. Van Ommen, An adhesive CFD-DEM model for simulating nanoparticle agglomerate fluidization, AICHE J. 62(7) (2016) 2259-2270.

[36] Y. Yang, Experiments and Theory on Gas and Cohesive Particles Flow Behavior and Agglomeration in the Fluidized bed System, PhD Thesis, Illinois Institute of Technology., 1991

[37} R. Fan, D.L. Marchisio, R.O. Fox, Application of the direct quadrature method of moments to polydisperse gas-solid fluidized beds, Powder Technol. 139(2004) 7-20.

[38] K.L. Johnson, K. Kendall, A.D. Roberts, Surface energy and the contact of elastic solids, Pros. R. Soc. Lond. A. 324(1971) 301-313.

Quantifying growth and breakage of agglomerates in fluid-particle flow using discrete particle method

Quantifying growth and breakage of agglomerates in fluid-particle flow using discrete particle method

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