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1 principles of the model in a good accuracy to make predictions about
Modelling Condensation and Atmospheric Evaporation on Fruit and Vegetable Surfaces after Cooling M. Linke , K. Gottschalk and M. Geyer Institute of Agricultural Engineering Potsdam - Bornim, Germany Re-warming of fruits and vegetables after cooling is characterised by heat and mass transfer processes affecting the produce quality (due to microbial growth) at unfavourable environmental conditions A mathematical model is developed for the determination of the amount of condensed water and the dwell time on fruit surfaces dependent on environmental air conditions The model describes in a first step the heat and mass transfer processes on single fruits The process of diffusion of humidity in air and proceed of temperature is the basis for the model To validate the model some important basic interactions at single produce items under laboratory conditions were measured The objective is to minimize the negative influences of condensation after cooling by controlling the air flow conditions close to the produce surface condensation and atmospheric evaporation mass flow heat flow mass flow mass flow heat flow atmospheric evaporation and transpiration principles of the model validation calculation transpiration E : mass loss rate A : surface m : mass t : time 0 : begin of experiment 1 : end of experiment = (1+x) / (RA+x RV) · p/T mass density of humid air j = - Dair d/dr = - Dair · d/dx · dx/dr mass flow density x : air humidity j : mass flow density mass flow density coupling heat D : diffusion coefficient vapour in air r : radial coordinates q =  (Tsurface – T) heat flow density T : temperature q : heat flow density Data acquisition system, recording measured values from a highly sensitive balance, a non-contact surface temperature sensor, and a combined air temperature / relative humidity sensor Calculation of the mass flow density j during condensation (until 20 min) and atmospheric evaporation (after 20 min) spherical diffusion equation for air humidity  =  / T xs : humidity at saturation point 0 : rel. humidity at far distance R0 : radius of sphere r : radial distance  : heat transfer coefficient  : heat conductivity T : boundary layer thickness x(r) = xs · 0 (1- R0/r) + xs · R0/r solution of spherical diffusion equation q = - j  h Environmental conditions: - unrestricted natural convection air temperature 21.5 °C - relative air humidity 60 % r.H initial surface temperature 1.0 °C h : latent heat model for the mass flow density The model represents the condensation and evaporation process on single fruit (plums) in a good accuracy to make predictions about the occurrence and duration of these processes along the time after cooling max. amount of water surface temperature dwell time of surface water Model calculation of condensation and atmospheric evaporation (surface temperature and changes in relative weight) Changes in relative weight, surface temperature, and dew point temperature after cooling (measured values) Institute of Agricultural Engineering Bornim e.V., Max-Eyth-Allee 100, D Potsdam, Germany, Tel , Fax ,


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