CFD: An Innovative and Effective Design Tool for the Food Industry

Norton, Tomás; Sun, Da‐Wen

doi:10.1007/978-1-4419-7475-4_3

Cited by 7 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CFD is an advanced numerical tool to solve governing PDEs of mass, momentum and energy conservation in fluid flow, food engineering, heat and mass transfer problems [13]. CFD was first used in early 1950s and since then it has been gaining importance day to-day in every field of engineering and technology [14].…”

Section: Fig 1 Cabinet Tray Dryermentioning

confidence: 99%

Numerical Simulation of air Temperature and air flow Distribution in a Cabinet tray Dryer

Dasore¹,

Konijeti²

2019

IJITEE

View full text Add to dashboard Cite

The quality of dried product can be enhanced in cabinet tray dryers through a uniform distribution of drying air flow and temperature. In this work, a numerical investigation is conducted to examine the consequence of air movement on the quality of product dried in a convective tray dryer. The temperature and velocity contours of air in the drying chamber are numerically determined for three different geometries of cabinet tray dryer and are compared. A good harmony is found between the predicted data from CFD and experimental data from the literature. This work will enable us to optimize the drying chamber design for uniform dispersal of air flow and temperature and to improve quality of dried product for large scale applications

show abstract

Section: Fig 1 Cabinet Tray Dryermentioning

confidence: 99%

Numerical Simulation of air Temperature and air flow Distribution in a Cabinet tray Dryer

Dasore¹,

Konijeti²

2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…On one hand, computational fluid dynamics (CFD) represents a powerful tool that helps to describe fluid systems and their main heat and mass transfer variables. Its versatility allows researchers to use it to design, operate and optimize fluid systems (Norton and Sun, 2010;Thévenin and Janiga, 2008). On the other hand, the discrete phase model (DPM) and the discrete element method (DEM) are novel techniques used to estimate the particle movement in fluid systems (Fryer et al, 2011;Norton and Sun, 2007;Tsotsas and Mujumdar, 2014).…”

Section: Introductionmentioning

confidence: 99%