A.E. Drouzas’s research while affiliated with National Technical University of Athens and other places

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Publications (6)


Effective Thermal Conductivity of Granular Starch Materials
  • Article

August 2006

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206 Reads

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42 Citations

A.E. DROUZAS

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G.D. SARAVACOS

The effective thermal conductivity (keff of two granular starches was investigated at various bulk densities, temperatures and moistures, using the method of heated probe. Granular powders of high-amylose and high-amylopectin starches were used at bulk densities 500-800 kg/m3, temperatures 25–70°C. and moistures of 0–40%. The keff increased linearly with bulk density, from 0.065 to 0.220 W/mK. Temperature had a positive effect up to 6.5% moisture. At higher moistures keff increased sharply above 50°C, indicating starch-water interaction. The keff increased linearly with moisture at low (0–15%) and high (> 25%) moistures, remaining nearly constant at intermediate moistures. These changes were related to the porosity of the starches.


Microwave/vacuum drying of fruit gels

February 1999

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64 Reads

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252 Citations

Journal of Food Engineering

Combined microwave (MW)/vacuum drying of fruit materials has a promising potential for high-quality dehydrated products. A better knowledge of the drying kinetics of fruit products could improve the design and operation of efficient dehydration systems.A laboratory MW/vacuum drier was used for drying kinetics experiments with model fruit gels, simulating orange juice concentrate. The system was operated in the vacuum range of 30–50 mbar and MW power of 640–710 W. The distribution of the electromagnetic field in the cavity of the oven was determined from the drying rate of samples, placed at 5 different locations.The drying rate was determined by periodic weighing of the sample. The rate constant (K) of the single-layer model of drying was estimated by regression analysis of the experimental data. An empirical model is proposed for estimating the drying constant (K) as a function of the absolute pressure and the MW power of the system.


Effect of drying method on the sorption of model fruit powders

December 1998

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55 Reads

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131 Citations

Journal of Food Engineering

Pectin-sugar gels were dehydrated with four different drying methods: freeze, microwave, vacuum and conventional drying to a moisture content of about 5%. The effect of the drying method on the water sorption properties of dehydrated products was evaluated at 25 °C. Freeze-dried gel adsorbed more water vapour than microwave-dried gel, which had a higher sorption capacity than vacuum- and conventional-dried product. The sorption isotherms were in agreement with the reported shape for high sugar foodstuffs. Three different equations proposed in the literature (GAB, Oswin, Hasley) were used to fit the sorption data. The GAB equation gave the best fit to the experimental data. The porosity of the dehydrated products depended on the drying method, ranging between 0.2 and 0.5. Freeze- and vacuum-dried pectin developed the highest porosity, whereas the lowest porosity was obtained using conventional and microwave drying. Hunter colour parameters (L, a, b) also depended on the drying method. The colour of freeze- and vacuum-dried pectin was close to that of commercial pectin, while the colour of the conventional- and microwave-dried product changed significantly.


Microwave application in vacuum drying of fruit

May 1996

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257 Reads

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305 Citations

Journal of Food Engineering

Microwave vacuum drying of banana slices was investigated experimentally. This type of drying procedure is preferable to conventional drying techniques in order to avoid product degradation due to high temperatures encountered in convective drying. The drying process was examined by introducing pulsegenerated microwave power in banana samples. The material temperature was monitored. Temperature peaks in the last stages of drying indicated that drying could be favoured if temperature was maintained below a maximum level, so that the final product should not be burned by hot spots during microwave drying. This procedure produced dehydrated products of excellent quality as examined by taste, aroma, smell and rehydration tests.


Direct and indirect determination of the effective thermal diffusivity of granular starch

December 1991

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17 Reads

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26 Citations

Journal of Food Engineering

The effective thermal diffusivity (αeff) of two granular starches was determined directly and indirectly, using the heated probe method of unsteady-state heat conduction. In the direct method, αeff was determined from transient time-temperature data, obtained with a thermocouple placed near the heated line source. In the indirect method, αeff was calculated from the effective thermal conductivity (λeff), the bulk density (ϱb), and the specific heat (Cp) of the granular starch in the moisture range 0–30% (dry basis) and at ϱb = 700 kg/m3, T = 25°C. The specific heat of the starches, determined by differential scanning calorimetry, increased linearly from 1260 to 1800 kJ/kg K in the moisture range 0–30% (dry basis). The indirect method yielded more accurate values of αeff (near 1 × 10−7m2/s) than the direct measurement, as concluded from the F-test at level of significance 5%.


Thermal conductivity of granular starch

December 1990

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21 Reads

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43 Citations

Journal of Food Engineering

Prediction of the effective thermal conductivity of granular and porous foods is essential in engineering calculations and in modeling of food processes. Structural models are more useful than empirical equations, since they are based on the physical and transport properties of the components of the food system. Six structural (geometric) models were tested, using experimental data on the effective thermal conductivity of granular starches in the ranges of bulk density 500–800 kg/m3, moisture content 0–0.4 kg water/kg dry solids and temperature 25 °–70 °C.The parallel model of heat conduction in the granular starch (solid/gas phases) and in the starch granules (dry starch/sorbed water phases) yielded the lowest standard deviation between the experimental and the predicted values of thermal conductivity. Combinations of the parallel and the Maxwell models yielded acceptable results.

Citations (6)


... The most common mixture models are based on classical mixing laws of the series thermal conductivity (STC) model and parallel thermal conductivity (PTC) model [19]. Compared to theoretical and empirical models, the advantages of mixing models are more obvious since they are based on the physical and heat transport properties of porous media [22]. Two basic mixture models, STC and PTC models, determine the volume percentage and thermal conductivity of each phase in media [14,[23][24][25][26]. Nam et al. [27] developed a numerical model that combines a heat transport model and a heat exchanger model to predict the heat exchange rates for a ground source heat pump system. ...

Reference:

Estimating the Thermal Conductivity of Unsaturated Sand
Thermal conductivity of granular starch
  • Citing Article
  • December 1990

Journal of Food Engineering

... The slower increase observed after the initial rapid temperature rise may be attributed to the progressively diminishing effect of evaporative cooling caused by decreasing rate of moisture removal. Boiling point elevation due to the increasing concentration of soluble solids in the dried regions may also play a role [46]. The effect of pressure, within the range used in the current study, was found to be minimal. ...

Microwave application in vacuum drying of fruit
  • Citing Article
  • May 1996

Journal of Food Engineering

... The control samples and the PF95/SF5-30, PF95/SF5-45 and PF95/ SF5-70 samples had the highest values of heat conductivity (Table 2), indicating that the starch present in PF may play an important factor in the observed changes in thermal conductivity. Drouzas and Saravacos (1988) reported thermal conductivity values of starch from 0.065 to 0.220 W/m K, and mentioned that moisture influenced this parameter. However, the thermal conductivity that has been reported for sugarcane fiber is slightly lower (~0.045 ...

Effective Thermal Conductivity of Granular Starch Materials
  • Citing Article
  • August 2006

... This intact porous network enhances moisture retention and rehydration capacity yet still displays hysteresis due to the binding of water within fine capillaries and porous matrices. The concave shape of the isotherms in both cases reflects the increasing difficulty of removing tightly bound water at lower water activities, while the hysteresis loop indicates structural differences during sorption and desorption, directly influenced by the drying-induced microstructural changes 48,49 . ...

Effect of drying method on the sorption of model fruit powders
  • Citing Article
  • December 1998

Journal of Food Engineering

... The most common approach for predicting thermal diffusivity (sometimes referred to as the 'lumped parameter method' [20,38]), is to calculate it from effective thermal conductivity, effective density and effective specific heat capacities using Eq. 1 (e.g. [19,20,24,[45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62]). As mentioned in the Introduction, the number of different effective thermal conductivity models is large; however, the effective density and effective specific heat capacity are normally determined from the volume-weighted arithmetic mean according to Eq. 6 and the mass-weighted mean according to Eq. 7, respectively: ...

Direct and indirect determination of the effective thermal diffusivity of granular starch
  • Citing Article
  • December 1991

Journal of Food Engineering

... Specifically, the initial moisture content ranging from 13.44% to 14.22% decreases to a final range of 7.44% to 5.49%. The high sugar content in dates contributes to structural shrinkage and compaction during drying, which explains the slower rate of water loss observed [28]. The decelerating drying rate phase observed is primarily due to the increased resistance to moisture migration as drying progresses. ...

Microwave/vacuum drying of fruit gels
  • Citing Article
  • February 1999

Journal of Food Engineering