Application of computational fluid dynamics simulations in food industry

被引:0
|
作者
Arkadiusz Szpicer
Weronika Bińkowska
Iwona Wojtasik-Kalinowska
Salih Mustafa Salih
Andrzej Półtorak
机构
[1] Warsaw University of Life Sciences-SGGW,Department of Technique and Food Development
[2] Cihan University-Erbil,Department of Nutrition and Dietetics
[3] Salahaddin University-Erbil,Department of Animal Resources, College of Agricultural Engineering Sciences
来源
关键词
CFD simulation; Computational fluid dynamics; Modelling; Thermal processes simulation; Mechanical processes simulation; Food engineering;
D O I
暂无
中图分类号
学科分类号
摘要
Computational fluid dynamics (CFD) is a tool for modelling and simulating processes in many industries. It is usually used as a choice to solve problem involving flow of fluids, heat transfer, mass transfer and chemical reaction. Moreover, it has also found application in the optimization of processes in branches of the food industry, including bread baking, cooling beef roast, or spray drying. CFD has enormous potential and many opportunities to improve the quality and safety of food products, as well as to reduce the costs of production and the use of machines and production equipment. In addition, empirical models only permit data to be extracted at a limited number of locations in the system (where sensors and gauges are placed). CFD allows the designer to examine any location in the region of interest, and interpret its performance through a set of thermal and flow parameters. Computer simulations are the future of every field of science, and the presented overview provides the latest information on experts and experiences related to CFD application in food production. Despite some disadvantages, such as the need to have a large reserve of computing power, the development of digital and IT technologies will make this problem insignificant in the nearest future. Then the CFD will become an indispensable element in the design of equipment and technological lines in the food industry.
引用
收藏
页码:1411 / 1430
页数:19
相关论文
共 50 条
  • [21] Validation of computational fluid dynamics simulations for atria geometries
    Rundle, C. A.
    Lightstone, M. F.
    Oosthuizen, P.
    Karava, P.
    Mouriki, E.
    [J]. BUILDING AND ENVIRONMENT, 2011, 46 (07) : 1343 - 1353
  • [22] Computational fluid dynamics simulations of the human lung: An overview
    Martonen, T
    Hwang, D
    Guan, X
    Fleming, J
    [J]. SIMULATION MODELLING IN BIOENGINEERING, 1996, : 69 - 78
  • [23] Computational Fluid Dynamics Simulations of Hemodynamics in Plaque Erosion
    Campbell I.C.
    Timmins L.H.
    Giddens D.P.
    Virmani R.
    Veneziani A.
    Rab S.T.
    Samady H.
    McDaniel M.C.
    Finn A.V.
    Taylor W.R.
    Oshinski J.N.
    [J]. Cardiovascular Engineering and Technology, 2013, 4 (4) : 464 - 473
  • [24] Toward establishing credibility in computational fluid dynamics simulations
    Rizzi, A
    Vos, J
    [J]. AIAA JOURNAL, 1998, 36 (05) : 668 - 675
  • [25] Simulations of a LDPE reactor using computational fluid dynamics
    Read, NK
    Zhang, SX
    Ray, WH
    [J]. AICHE JOURNAL, 1997, 43 (01) : 104 - 117
  • [26] Introduction - Computational fluid dynamics (CFD) - a design and analysis tool for the agri-food industry
    Sun, DW
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2002, 34 (1-3) : 1 - 3
  • [27] Computational fluid dynamics (CFD) - an effective and efficient design and analysis tool for the food industry: A review
    Norton, Tomas
    Sun, Da-Wen
    [J]. TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2006, 17 (11) : 600 - 620
  • [28] Molecular dynamics pre-simulations for nanoscale computational fluid dynamics
    Holland, David M.
    Lockerby, Duncan A.
    Borg, Matthew K.
    Nicholls, William D.
    Reese, Jason M.
    [J]. MICROFLUIDICS AND NANOFLUIDICS, 2015, 18 (03) : 461 - 474
  • [29] Molecular dynamics pre-simulations for nanoscale computational fluid dynamics
    David M. Holland
    Duncan A. Lockerby
    Matthew K. Borg
    William D. Nicholls
    Jason M. Reese
    [J]. Microfluidics and Nanofluidics, 2015, 18 : 461 - 474
  • [30] Model reduction for flight dynamics simulations using computational fluid dynamics
    Pagliuca, Giampaolo
    Timme, Sebastian
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2017, 69 : 15 - 26