Influence of temperature and drying air velocity on the kinetics of convective drying in the food industry

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Influence of temperature and drying air velocity on the kinetics of convective drying in the food industry Ing. Michal Pěnička Project leader: Doc. Pavel Hoffman CSc. Abstract The aim of this study was to test the effect of the drying air change in temperature and velocity on kinetics of convection drying. In this case, the influence on the shape of the drying curve and the total drying time, where in the matter remains less than 5% moisture. This effect was compared for the three basic methods of airflow around the dried subject, which have simulated different types of dryers used in the industry. The drying curves obtained by experimental measurement were applied to eight mathematical models that are most frequently used in the food industry for the convective drying. From these mathematical models the two-term model is most in accord with measured values. Key words Drying curve, convective drying, mathematical model, moisture ratio, keramzit. Introduction Drying is a common physical process where undesirable water is removed from a dried material namely evaporation of water into the surrounding air. From a technical perspective is drying defined as the simultaneous heat and mass transfer, where the drying process may be divided into two basic phase. The first phase is controlled process of evaporation of water from the surface of the dried material into the drying air, and then the second phase, that is controlled by a diffusion of wet from the center of the dried material on the surface. Today, the drying process is used to increase the durability, reduce weight and volume of dried material for better storage ability and transportation. Methods of drying are different and depend on many factors. Those are for example drying properties of the substance, the ambient conditions as well as energy and economic situation etc. In southern countries has been widely is used drying of on sunlight (coffee, tea, wine, tobacco, spices,...) because of high solar activity and the energy needs of low and also slow and gentle process of drying for this materials. In industry, the drying is used very often and an inherent part of many processes. Examples of industries may be provided chemistry, manufacture of rubber, food processing, agricultural industries, etc. The drying process is energy intensive and therefore is observed today and it is the subject of many scientific studies at our country and in foreign. 2. Materials and methods 2.. Materials The influence of the temperature and the drying air velocity on the dried kinetics was simulated on a model material - Keramzit, which is shown in Fig.. The keramzit is a synthetic material, which is produced in special rotary ovens from a special kind of clay during high temperatures.

Fig. - Keramzit - the model material The keramzit has a spherical shape with various sizes. This material has different mechanical properties of on surface and inside. The inside material is dark and porous but on the surface material is light and compact. The main reason why this material was chosen as model material for experiments there are constant properties (dry weight, porosity, volume...) and this material is reusable. 2.2. Methods The experimental apparatus shown in Fig. 2, which is located in industrial laboratories at the Institute of Process Engineering, Faculty of Mechanical Engineering, CTU in Prague, was used in the drying experiments. This is a circulatory drier with variable speed of drying air in the drying chamber and in the speed range from.5 to 3.5 ms -. The drying air is heated in two heating systems, where the first heating system has performance of the 6x5W and is placed in front of a ventilator. The second heating system installed in front of the drying chamber and the performance is a 7xkW. The heated drying air circulates in air ducts. In the air ducts sensors Pt are installed. The control of heating systems and indicators of temperature sensors are located on a central control box, which is located near the experimental device. 7 6 2 3 8 4 5 Fig. 2 - Experimental dryer: ()drying chamber, (2) and (6) air heating chambers, (3) ventilator, (4) motor, (5) air ducts, (7) electronic balance, (8) supporting structure

The drying chamber with inner dimensions is 4x2x2mm. In this chamber is placed a drying basket, which is hanged on an electronic balance with range from to 62 g on the accuracy of, grams. The electronic balance is connected to the computer via the R232 interface. The drying basket shown in Fig. 3a has dimensions of 25x5x35mm. This basket is used for simulate drying, where the drying air flowing over the dried material. This is mean along the one main area of the dried material. This variation is simulated drying in tray drier where the drying air flows over trays. In Fig. 3b is drying basket with the dimensions of 5x5x35mm. This basket is used to simulate evenly drying, therefore, where the drying air is split evenly alongside the two main drying surface areas of sample. The same basket to the previous case, but in a different position Fig. 3c is used to simulate drying, where the drying air is blown through a layer of the dried sample with a thickness of 35mm. In this case, the thin layer drying model through blow material. a b c Fig. 3 - Drying basket and various of position to drying air: (a) blow along side, (b) blow along 2 sides, (c) blow through 2.3. Experimental proceduree The experimental measurements were conducted at the drying air temperature of 4 C and 7 C and the air velocity was varied between. ms - to 2.5 ms -. These drying air parameters were used in all three positions of the drying basket in the drying chamber. The second heating system was not used during the measurement as experiments proceeded at low temperatures. For each measurement was repeated using 33 grams of dry keramzit (dry weight) of granules with a diameter of 8 to 6mm. The weight of dry keramzit was detected regularly after the three measurements at C for one day. The dry keramzit was moistened by immersion in water for 3 minutes. The sample is then loosely scattered in the basket and the basket with sample is placed into the drying chamber. The loss weight basket with dried material was recorded every two minutes and the temperature and the air velocity checked every 5 minutes during the measurement. 2.4. Data analysis The data obtained from experimental measurements were converted moisture content ratio by the f following equation: into dimensionless () For long drying times, the equilibrium moisture content M e is relatively the humidity in the measurement of time and initial moisture M-M simplified expression accordin ng to equation () can be used: lower compared to and therefore the (2)

For a description of drying kinetics of keramzit was selected an eight commonly used mathematical models for convective drying. These models are shown in Table. Table - Drying models used for the keramzit Model name Model Reference Henderson and Pabis MR = a exp( kt) (4) 2 Logarithmic MR = a exp( kt) + c (5) 3 Two term MR = a exp( k t) + b exp( k t) (6) 4 Two term exponential MR = a exp( kt) + ( a)exp( kat) (7) 5 Wang and Singh MR = + at + bt 2 (8) 6 7 Approximation of diffusion Modified Henderson and Pabis MR = a exp( kt) + ( a)exp( kbt) (9) MR = a exp( kt) + b exp( gt) + c exp( ht) () 8 Midilli et al. MR = a exp( ktm) + bt () To determine the accuracy of the model the coefficient of determination (R 2 ), the mean relative percentage error (P), the root mean square error (RMSE) and the reduced chi-square error (χ 2 ) were used. The higher value of R 2 and lower values of P, RMSE and χ2, the better is the goodness of the fit. These errors were calculated using the following formulas:,, (3),,, (4) χ,, where N is the number of measurements, n is the number of coefficients in the model, MRexp,i and the ratio of moisture to the ith measurement and MRpre,i is calculated as the ratio of moisture content for the i-th measurement(2); (3) 3. Results and discussion 3.. Influence of temperature and velocity of drying air on the kinetics of convective drying The keramzite as a model material was dried at the drying air temperatures of 4 C and 7 C and at the drying air velocity of, ms - and 2,5 ms -. In spite of moistening material the same procedure was always the initial moisture content different and ranged between 3.7 to 2 kg H 2 O/kg DM. Fig. 4 to Fig. 6 show the variations in the moisture content as function of drying time at various the drying air temperatures and various the velocities of drying air for 3 above mentioned ways of the drying air flow around the sample. The influence of temperature and velocity of drying air are effect for various blow through in the first phase, (5)

where is dominate effect evaporation from surface of sample. The total drying times to reach the final moisture content 36, 56, 6 and 88 min at the drying air temperatures of 4 and 7 C and velocity of drying air of, and 2,5ms -. The shortest total drying time is for the temperature 7 C and velocity of 2,5ms -. For the various Blow along side, drying times to reach and for 4, 45, 72 and 28 Blow along 2 sides drying times to reach 56, 6, 55 and 64 min. With increase in the drying temperature and the velocity of drying air the drying time decreased. 3.2. Fitting of the drying curves Table 2 - Statistical results obtained from various drying model Model no. Model coefficients R 2 P (%) RMSE χ 2 Henderson and Pabis 2 Logarithmic 3 Two term 4 Two term exponencial a=,99; k=,83,9932,7 3,6 x -3,x -3 a=,94; k=,992; c=,2 a=,4234; k =,29; b=,7338; k =,625,9975 6,223 7,9 x -3,4x -3,9994 2,49 8,6 x -3,x -3 a=,424; k=,37,9958 3,687 26,6 x -3,8x -3 5 Wang and Singh a=,9697; b=-,634,9867,75 4, x -3 2,x -3 6 Approximation of diffusion 7 Modified H. and P. 8 Midilli et al. a=,99; k=,83; b=223,74 a=,3335; k=,446; b=,2862 ; g=,429; c=,5279; h=,236 a=-,5; k=,2694; m=,23; b=,6764,9932,7 3,6 x -3,2x -3,9995 2,82 43,9 x -3 3,x -3,9992 2,559 x -3,x -3 Experimental data obtained by measuring were transferred to the dimensionless moisture (2) and applied drying models according to Table. For example, Table 2 is shown the resulting set of model coefficients and statistical errors in the model. For all cases the R 2 values ranged from.8796 to.9998 for P it was from.6352 to 29.6575% for the RMSE of.5 x -3 and 96.5 x -3 and χ 2 from x -4 to.6 x -3. The R 2 value is higher, while values of P, RMSE and χ 2 are lower, the greater the match between experimental data and mathematical model. For all models Table 2 shown published "Two term" as the most suitable drying model for keramzit, it has the highest values of R 2 and lowest values of P, RMSE and χ 2 between all the drying models. Fig. 7 to Fig. 9 is shown a good agreement between experimental data and "Two term" drying model. In this model, the errors varied between the values for R2 from.998 to.9998 for P from.3683 to 9.437%, the RMSE from 2.8 x -3 and 27.3 x -3 and χ 2 from x -4 to 4x -4.

Moisture content (kg H 2 O / dry matter) 3 25 2 5 5,m/s - 4 C,m/s - 7 C 2,5m/s - 4 C 2,5m/s - 7 C Fig. 4 - Effect of drying air temperature and drying air velocity on moisture content for various position Blow along 2 sides Moisture content (kg H2O / dry matter) 2 5,m/s - 4 C,m/s - 7 C 2,5m/s - 4 C 2,5m/s - 7 C 5 Fig. 5 - Effect of drying air temperature and drying air velocity on moisture content for various position Blow along side Moisture content (kg H 2 O / dry matter) 25 2 5 5,m/s - 4 C,m/s - 7 C 2,5m/s - 4 C 2,5m/s - 7 C Fig. 6 - Effect of drying air temperature and drying air velocity on moisture content for various position Blow through

MR=M/M,8,6,4,2,m/s-4 C - exp,m/s-7 C - exp 2,5m/s-4 C - exp 2,5m/s-7 C - exp,m/s 4 C - pre,m/s 7 C - pre 2,5m/s 4 C - pre 2,5m/s 7 C - pre Fig. 7 - Variation of experimental and predicted moisture ratios by the two-term drying model with drying time for various position Blow along 2 sides MR=M/M,8,6,4,2,m/s-4 C- exp,m/s-7 C - exp 2,5m/s-4 C - exp 2,5m/s-7 C - exp,m/s 4 C - pre,m/s 7 C - pre 2,5m/s 4 C - pre 2.5m/s 7 C - pre Fig. 8 - Variation of experimental and predicted moisture ratios by the two-term drying model with drying time for various position Blow along side MR=M/M,8,6,4,2,m/s-4 C - exp,m/s-7 C - exp 2,5m/s-4 C - exp 2,5m/s-7 C - exp,m/s 4 C - pre,m/s 7 C - pre 2,5m/s 4 C - pre 2,5m/s 7 C - pre Fig. 9 - Variation of experimental and predicted moisture ratios by the two-term drying model with drying time for various position Blow along 2 sides

4. Conclusion The moisture loss was measured during the convective drying at various drying air temperatures and drying air velocity for the model material-keramzit. The values of the drying air temperature was 4 C and 7 C and the drying air velocity was. ms - and 2.5 ms - for three basically various position the drying sample to the drying air. These are examples, where the drying air flow through the dried material, along or 2 sides of the dried material. From experimental measurements was concluded that with increasing temperature and increasing velocity of the drying air the drying time reduces especially in the first stage of drying. The two term drying model, which gave a higher value for the coefficient of determination and lower values for the root mean square error, mean relative percent error and reduced chi-square among the 8 models, was considered the best model for describing the drying behavior of keramzit. Nomenclature a, b, c, g, h, m coefficients in drying models [] k, k, k empirical constants in drying models [] M moisture content at any time of drying [kg water(t)/ kg dry matter] M e equilibrium moisture content [kg water/ kg dry matter] M initial moisture content [kg water(t )/ kg dry matter] MR moisture ratio [] MR exp experimental moisture ratio [] MR pre predicted moisture ratio [] n number of constants in the model [] N number of observations [] t drying time [min] T drying temperature [ C] R 2 coefficient of determination [-] P mean relative percent error [%] RMSE root mean square error [-] χ 2 reduced chi-square [] Reference. Drying characteristics of the solid by-product of olive oil extraction. Doymaz, I. a Gorel, O. 24, Biosystems Engineering, stránky 23 29. 2. The thinlayer drying characteristics of garlic slices. Madamba, P. S. 996, Journal of Food Engineering, stránky 75 97. 3. Modelling adsorption equilibrium moisture characteristics of rough rice. Martin, M. B. 2, Drying Technology, stránky 68 69. 4. Relative humidity effect on the high temperature drying of shelled corn. Westerman, P. W. 973, Transactions of the ASAE, stránky 36 39. 5. Drying characteristics of laurel leaves under different drying conditions. Yagcioglu, A. D. Adana : autor neznámý, 999. In Proceedings of the 7th international congress on agricultural mechanization and energy. stránky 565 569. 6. Progress in developing the thin-layer drying equation.. Henderson, S. M. 974, Transactions of the ASAE, stránky 67 68, 72. 7. A model for ear corn drying. Sharaf-Eldeen, Y. I. 98, Transactions of the ASAE, stránky 26 27. 8. A single layer drying equation for rough rice. Wang, C. Y. 978, Transactions of the ASAE, stránky 78-3.

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