Abstract
In the industrial processing of beer, pasteurization is necessary the to guarantee its biological stability. The superheat phase (the last part of heating phase) was numerically simulated, in which the slowest heating zone (SHZ) inside the bottle was determined, and then the influence of three parameters on the uniformity of temperature distribution inside the bottled beer during pasteurization, i.e. the temperature of spray water, the turbulent intensity of spray water at the spray nozzles and the running velocity of bottles were analyzed using L9 (34) orthogonal experiments. The results indicated that SHZ lay at the bottom of the bottle at the beginning and then moved upward without exceeding 1/2 of filling height of beer. Besides, after heating for 7 min, the temperature and the turbulent intensity of spray water at the spray nozzles affected the uniformity of temperature distribution inside the bottled beer obviously, while the running velocity of bottle had no significant effect on it. Our results showed that the probable optimum condition was 65 ℃ temperature of spray water and 3% turbulent intensity of it at the spray nozzles as well as 3 mm/s running velocity of bottle.
Publication Date
8-28-2016
First Page
98
Last Page
102
DOI
10.13652/j.issn.1003-5788.2016.08.024
Recommended Citation
Ju, CHENG; Jiayan, AN; Wengyong, DONG; and Yue, WANG
(2016)
"Study on tunnel pasteurization of bottled beer based on CFD technology,"
Food and Machinery: Vol. 32:
Iss.
8, Article 24.
DOI: 10.13652/j.issn.1003-5788.2016.08.024
Available at:
https://www.ifoodmm.cn/journal/vol32/iss8/24
References
[1] BUZRUL S. A suitable model of microbial survival curves for beer pasteurization[J]. LWT - Food Science and Technology, 2007, 40(8): 1 330-1 336.
[2] AUGUSTO P E D, PINHEIRO T F, CRISTIANINI M. Using computational fluid-dynamics (CFD) for the evaluation of beer pasteurization: effect of orientation of cans[J]. Food Science and Technology, 2010, 30(4): 980-986.
[3] HORN C S, FRANKE M, BLAKEMORE F B, et al. Modelling and simulation of pasteurization and staling effects during tunnel pasteurization of bottled beer[J]. Food and Bioproducts Processing, 1997, 75(1): 23-33.
[4] ENGELMAN M S, SANI R L. Finite-element simulation of an in-package pasteurization process[J]. Numerical Heat Transfer, 1983, 6(1): 41-54.
[5] TEIXEIRA A A, DATTA A K. Numerically predicted transient temperature and velocity profiles during natural convection heating of canned liquid foods[J]. Journal of Food Science, 1988, 53(1): 191-195.
[6] ZECHMAN L G. Location of the slowest heating zone for natural convection heating fluids in metal containers[J]. Journal of Food Science, 1989, 54(1): 205-209.
[7] KUMAR A, BHATTACHARYA M, BLAYLOCK J. Numerical simulation of natural convection heating of canned thick viscous liquid food products[J]. Journal of Food Engineering, 1990, 55(5): 1 403-1 411.
[8] BHUVANESWARI E, ANANDHARAMAKRISHNAN C. Heat transfer analysis of pasteurization of bottled beer in a tunnel pasteurizer using computational fluid dynamics[J]. Innovative Food Science & Emerging Technologies, 2014, 23: 156-163.
[9] KANNAN A, SANDAKA P C G. Heat transfer analysis of canned food sterilization in a still retort[J]. Journal of Food Engineering, 2008, 88(2): 213-228.
[10] FARID M, ABDUL GHANI A G. A new computational technique for the estimation of sterilization time in canned food[J]. Chemical Engineering and Processing: Process Intensification, 2004, 43(4): 523-531.
[11] GHANI A G A, FARID M M, CHEN X D. Theoretical and experimental investigation of the thermal inactivation of bacillus stearothermophilus in food pouches[J]. Journal of Food Engineering, 2002, 51(3): 221-228.
[12] VARMA M N, KANNAN A. CFD studies on natural convective heating of canned food in conical and cylindrical containers[J]. Journal of Food Engineering, 2006, 77(4): 1024-1036.
[13] ASLAM BHUTTA M M, HAYAT N, BASHIR M H, et al. CFD applications in various heat exchangers design: a review[J]. Applied Thermal Engineering, 2012, 32: 1-12.
[14] NORTON T, SUN Da-wen. Computational fluid dynamics (CFD)-an effective and efficient design and analysis tool for the food industry: a review[J]. Trends in Food Science & Technology, 2006, 17(11): 600-620.
[15] DILAY E, VARGAS J V C, AMICO S C, et al. Modeling, simulation and optimization of a beer pasteurization tunnel[J]. Journal of Food Engineering, 2006, 77(3): 500-513.
[16] 王亮, 于艳艳, 马晓彬, 等.罐装啤酒与瓶装啤酒的巴氏杀菌过程数值模拟[J]. 食品与发酵工业, 2014, 40(4): 42-46.
[17] 洪晓敏, 许蔷. 啤酒巴氏杀菌过程的CFD数值分析[J]. 食品与机械, 2016, 32(2): 160-164.
[18] LEWICKI P P, WALCZAK W, GOSS B. Heat transfer in a tunnel pasteuriser. part i. factors affecting the rate of heating of liquid in a bottle[J]. Journal of Food Engineering, 1983, 2(4): 309-322.
[19] 樊延敏, 王长伟. 浅谈啤酒杀菌机PU值控制系统[J]. 啤酒科技, 2003(7): 36, 38.
[20] 张凯, 王瑞金, 王刚. Fluent技术基础与应用实例[M]. 2版. 北京: 清华大学出版, 2010: 33-36.
[21] AUGUSTO P E D, CRISTIANINI M. Numerical simulation of packed liquid food thermal process using computational fluid dynamics(CFD)[J]. International Journal of Food Engineering, 2011, 7(4): 1-22.
[22] BAILEY R T, ELBAN W L. Thermal performance of aluminum and glass beer bottles[J]. Heat Transfer Engineering, 2008, 29(7): 643-650.
[23] ERDOGDU F, TUTAR M. A computational study for axial rotation effects on heat transfer in rotating cans containing liquid water, semi-fluid food system and headspace[J]. International Journal of Heat and Mass Transfer, 2012, 55(13/14): 3 774-3 788.