CIESC Journal ›› 2018, Vol. 69 ›› Issue (9): 3814-3824.doi: 10.11949/j.issn.0438-1157.20180483

Previous Articles     Next Articles

Numerical simulation of mono-disperse droplet spray dryer under influence of swirling flow

YANG Shujun1, WEI Yucong1, WOO Meng Wai2, WU Winston Duo1, CHEN Xiao Dong1,2, Xiao Jie1   

  1. 1. China-Australia Joint Research Center in Future Dairy Manufacturing, School of Chemical and Environmental Engineering, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, Suzhou 215123, Jiangsu, China;
    2. Department of Chemical Engineering, Faculty of Engineering, Monash University, Clayton Campus, Victoria, Australia
  • Received:2018-05-07 Revised:2018-06-24
  • Supported by:

    supported by the Natural Science Foundation of Jiangsu Province (BK20170062), the National Key Research and Development Program of China (ISTCP, 2016YFE0101200, 2017YFD0400905), the National Natural Science Foundation of China (21406148), the Jiangsu ShuangChuang Program the Jiangsu Specially-Appointed Professors Program, and the Jiangsu PAPD.

Abstract:

Monodisperse droplet spray dryer (MDSD) has demonstrated great advantages in the production of uniform sized particle products. The drying performance of such facility is improved. By resorting to the discrete phase model (DPM) and the reaction engineering approach (REA) based on drying model, a 3D CFD model is developed to describe a complete MDSD consisting of a small droplet pre-dispersion chamber and a big drying chamber. The model allows to investigate the influence of introducing swirling flows in the pre-dispersion chamber and the drying chamber on particle trajectory and drying dynamics. It is shown that the introduction of the swirling flow at an air inlet angle of 30° can offer decent performance. When both chambers have swirling flows, the co-current scheme is 2% better than the counter-current scheme in terms of reaching lower particle moisture content. Compared with the case without any swirling flow, the particle moisture content can be 30% lower. To achieve the same moisture content, with the introduction of the swirling flow, the dryer can be shortened by nearly 12%.

Key words: mono-disperse droplet spray dryer, discrete phase model, reaction engineering approach based drying model, optimization, multiphase flow

CLC Number: 

  • TQ02

[1] 孙厚良. 喷雾干燥在环保领域中的应用[J]. 生物质化学工程, 2005, 39(6):29-33. SUN H L. Application of spray drying to environmental protection[J]. Biomass Chemical Engineering, 2005, 39(6):29-33.
[2] 刘华敏, 解新安, 丁年平. 喷雾干燥技术及在果蔬粉加工中的应用进展[J]. 食品工业科技, 2009, 30(2):304-311. LIU H M, XIE X A, DING N P. Study progress of spray drying technology and application in the fruit and vegetable powder production[J]. Science and Technology of Food Industry, 2009, 30(2):304-311.
[3] VEHRING R. Pharmaceutical particle engineering via spray drying[J]. Pharmaceutical Research, 2008, 25(5):999-1022.
[4] SHAKIBA S, MANSOURI S, SELOMULYA C, et al. In-situ crystallization of particles in a counter-current spray dryer[J]. Advanced Powder Technology, 2016, 27(6):2299-2307.
[5] KAVOSHI L, RAHIMI A, HATAMIPOUR M S. CFD modeling and experimental study of carbon dioxide removal in a lab-scale spray dryer[J]. Chemical Engineering Research and Design, 2015, 98:157-167.
[6] JIN Y, CHEN X D. Numerical study of the drying process of different sized particles in an industrial-scale spray dryer[J]. Drying Technology, 2009, 27(3):371-381.
[7] JIN Y, CHEN X D. A three-dimensional numerical study of the gas/particle interactions in an industrial-scale spray dryer for milk powder production[J]. Drying Technology, 2009, 27(10):1018-1027.
[8] BÖHMER M R, SCHROEDERS R, STEENBAKKERS J A M, et al. Preparation of monodisperse polymer particles and capsules by ink-jet printing[J]. Colloids and Surfaces A:Physicochemical and Engineering Aspects, 2006, 289(1/2/3):96-104.
[9] PATEL K C, CHEN X D. Production of spherical and uniform-sized particles using a laboratory ink-jet spray dryer[J]. Asia-Pacific Journal of Chemical Engineering, 2007, 2:415-430.
[10] MOHEBI M M, EVANS J R G. The trajectory of ink-jet droplets:modelling and experiment[J]. Chemical Engineering Science, 2005, 60(13):3469-3476.
[11] WU W D, AMELIA R, HAO N, et al. Assembly of uniform photoluminescent microcomposites using a novel micro-fluidic-jet-spray-dryer[J]. AIChE Journal, 2011, 57(10):2726-2737.
[12] WU W D, LIN S X, CHEN X D. Monodisperse droplet formation through a continuous jet break-up using glass nozzles operated with piezoelectric pulsation[J]. AIChE Journal, 2011, 57(6):1386-1392.
[13] LIU W, WU W D, SELOMULYA C, et al. Uniform chitosan microparticles prepared by a novel spray-drying technique[J]. International Journal of Chemical Engineering, 2011, 2011:1-7.
[14] LANGRISH T A G, WILLIAMS J, FLETCHER D F. Simulation of the effects of inlet swirl on gas flow patterns in a pilot-scale spray dryer[J]. Chemical Engineering Research and Design, 2004, 82(7):821-833.
[15] LIN S X Q, CHEN X D. A model for drying of an aqueous lactose droplet using the reaction engineering approach[J]. Drying Technology, 2006, 24(11):1329-1334.
[16] SADRIPOUR M, RAHIMI A, HATAMIPOUR M S. Experimental study and CFD modeling of wall deposition in a spray dryer[J]. Drying Technology, 2012, 30(6):574-582.
[17] WAWRZYNIAK P, JASKULSKI M, ZBICI?SKI I, et al. CFD modelling of moisture evaporation in an industrial dispersed system[J]. Advanced Powder Technology, 2017, 28(1):167-176.
[18] JIN Y, CHEN X D. A fundamental model of particle deposition incorporated in CFD simulations of an industrial milk spray dryer[J]. Drying Technology, 2010, 28(8):960-971.
[19] MEZHERICHER M, LEVY A, BORDE I. Droplet-droplet interactions in spray drying by using 2D computational fluid dynamics[J]. Drying Technology, 2008, 26(3):265-282.
[20] MEZHERICHER M, LEVY A, BORDE I. Modeling of droplet drying in spray chambers using 2D and 3D computational fluid dynamics[J]. Drying Technology, 2009, 27(3):359-370.
[21] LEBARBIER C, KOCKEL T K, FLETCHER D F, et al. Experimental measurement and numerical simulation of the effect of swirl on flow stability in spray dryers[J]. Chemical Engineering Research & Design, 2001, 79(3):260-268.
[22] SOUTHWELL D B, LANGRISH T A G. The effect of swirl on flow stability in spray dryers[J]. Chemical Engineering Research & Design, 2001, 79(3):222-234.
[23] WOO M W, CHE L M, DAUD W R W, et al. Highly swirling transient flows in spray dryers and consequent effect on modeling of particle deposition[J]. Chemical Engineering Research & Design, 2012, 90(3):336-345.
[24] WOO M W, ROGERS S, SELOMULYA C, et al. Particle drying and crystallization characteristics in a low velocity concurrent pilot scale spray drying tower[J]. Powder Technology, 2012, 223:39-45.
[25] YANG X F, XIAO J, WOO M W, et al. Three-dimensional numerical investigation of a mono-disperse droplet spray dryer:validation aspects and multi-physics exploration[J]. Drying Technology, 2015, 33(6):742-756.
[26] XIAO J, LI Y, GEORGE O A, et al. Numerical investigation of droplet pre-dispersion in a monodisperse droplet spray dryer[J]. Particuology, 2018, 38:44-60.
[27] CHEN X D. Lower bound estimates of the mass transfer coefficient from an evaporating liquid droplet-the effect of high interfacial vapor velocity[J]. Drying Technology, 2005, 23(1/2):59-69.
[28] RANZ W E, MARSHALL W R. Evaporation from drops (Ⅰ)[J]. Chemical Engineering Progress, 1952, 48(3):141-146.
[29] RANZ W E, MARSHALL W R. Evaporation from drops(Ⅱ)[J]. Chemical Engineering Progress, 1952, 48(4):173-180.
[30] PUTRANTO A, CHEN X D. Drying of a system of multiple solvents:modeling by the reaction engineering approach[J]. AIChE Journal, 2016, 62(6):2144-2153.
[31] CHEN X D, LIN S X Q. Air drying of milk droplet under constant and time-dependent conditions[J]. AIChE Journal, 2005, 51(6):1790-1799.
[32] LIN S X Q, CHEN X D, PEARCE D L. Desorption isotherm of milk powders at elevated temperatures and over a wide range of relative humidity[J]. Journal of Food Engineering, 2005, 68(2):257-264.
[33] PATEL K, CHEN X D, JEANTET R, et al. One-dimensional simulation of co-current, dairy spray drying systems-pros and cons[J]. Dairy Science & Technology, 2010, 90(2/3):181-210.
[34] LIN S X Q, CHEN X D. Changes in milk droplet diameter during drying under constant drying conditions investigated using the glass-filament method[J]. Food and Bioproducts Processing, 2004, 82(3):213-218.
[35] HUANG L X, KUMAR K, MUJUMDAR A S. A comparative study of a spray dryer with rotary disc atomizer and pressure nozzle using computational fluid dynamic simulations[J]. Chemical Engineering and Processing:Process Intensification, 2006, 45(6):461-470.
[36] 杨树俊.均一粒径液滴喷雾干燥塔数值模拟研究[D]. 苏州:苏州大学, 2018. YANG S J. Numerical simulation of the mono-disperse droplet spray dryer[D]. Suzhou:Soochow University, 2018.
[37] ROGERS S, FANG Y, QI LIN S X, et al. A monodisperse spray dryer for milk powder:modelling the formation of insoluble material[J]. Chemical Engineering Science, 2012, 71:75-84.
[38] ROGERS S. Developing and utilizing a mini food powder production facility to produce industrially relevant particles for functionality testing[D]. Victoria:Monash University, 2011.

[1] ZHANG Qian, LIU Xiangyang, CHEN Wang, WU Heng, XIAO Pengying, JI Fangying, LI Chen, NIAN Haiming. Preparation of a novel phosphorus removal filler and optimization of phosphate removal adsorption bed process [J]. CIESC Journal, 2019, 70(3): 1099-1110.
[2] SHI Bowen, YIN Yanyan, LIU Fei. Optimal control strategies combined with PSO and control vector parameterization for batchwise chemical process [J]. CIESC Journal, 2019, 70(3): 979-986.
[3] ZHOU Xin, DENG Ledong, WANG Hong, ZHU Xun, CHEN Rong, LIAO Qiang, DING Yudong. Effect of cooled cylindrical surface on droplet dynamic behavior [J]. CIESC Journal, 2019, 70(3): 883-891.
[4] MU Peng, GU Xiangbai, ZHU Qunxiong. Modeling and optimization of ethylene cracking feedstock scheduling based on P-graph [J]. CIESC Journal, 2019, 70(2): 556-563.
[5] LIU Qilei, FENG Kun, LIU Linlin, DU Jian, MENG Qingwei, ZHANG Lei. Reaction solvent design method based on Dragon descriptors and modified decision tree-genetic algorithm [J]. CIESC Journal, 2019, 70(2): 533-540.
[6] GUO Xiaozheng, LIU Linlin, ZHANG Lei, DU Jian. Property integration of batch process based on interceptors in semi-continuous operation [J]. CIESC Journal, 2019, 70(2): 516-524.
[7] YE Zhencheng, ZHOU Huanlan, RAO Debao. Hybrid modeling and optimization of acetylene hydrogenation process [J]. CIESC Journal, 2019, 70(2): 496-507.
[8] WU Changhao, LIU Linlin, ZHANG Lei, DU Jian. Inter-plant waste heat integration for industrial park using two medium fluids [J]. CIESC Journal, 2019, 70(2): 431-439.
[9] WANG Shenhan, KANG Lunwei, ZHANG Bingjian, CHEN Qinglin, PAN Ming, HE Chang. Energy minimization in hybrid desalination system of reverse osmosis and pressure retarded osmosis [J]. CIESC Journal, 2019, 70(2): 617-624.
[10] ZHU Jian, YANG Bo, WANG Yongjian, TANG Xiaojie, LI Hongguang. New operation optimization method with time series based on Levenshtein distance hierarchical clustering [J]. CIESC Journal, 2019, 70(2): 581-589.
[11] ZHU Jianyong, ZHANG Xuqian, YANG Hui, LU Rongxiu. Soft-sensing of Pr/Nd component content under different single illumination conditions [J]. CIESC Journal, 2019, 70(2): 780-788.
[12] BAI Junren, YI Jun, LI Qian, WU Ling, CHEN Xuemei. Multi-objective optimization of QPSO for thereaction-regeneration process [J]. CIESC Journal, 2019, 70(2): 750-756.
[13] XUE Yongfei, WANG Yalin, SUN Bei, LI Qianzhong, SUN Jiazhou. Improved state transfer algorithm-based kinetics parameter estimation for cascaded plug flow reactors [J]. CIESC Journal, 2019, 70(2): 607-616.
[14] CAO Jian, MU Peng, GU Xiangbai, ZHU Qunxiong. Automatic generation method of process knowledge based on P-graph [J]. CIESC Journal, 2019, 70(2): 467-474.
[15] KANG Lixia, MA Chenlu, LIU Yongzhong. Operation optimization of modularized energy storage of retired batteries in hybrid power systems [J]. CIESC Journal, 2019, 70(2): 599-606.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!