Modelling of the Drying Kinetics of Opuntia Ficus Indica Fruits and Cladodes

2010 ◽  
Vol 6 (2) ◽  
Author(s):  
Amira Touil ◽  
Saber Chemkhi ◽  
Fethi Zagrouba
Keyword(s):  
Prickly Pear ◽  
Drying Rate ◽  
Pear Fruit ◽  
Opuntia Ficus Indica ◽  
Rate Period ◽  
Different Temperatures ◽  
Drying Rates ◽  
Drying Behaviour ◽  
Drying Curves ◽  
Kinetics Of

The effect of the drying rates of fruit and cladode of Opuntia Ficus Indica was examined at different temperatures. The experimental drying curves show only a falling drying rate period. The values of drying rate of prickly pear (fruit and cladode) almost doubled when the drying temperature was increased from 40 to 60°C. The experimental drying data were applied to various drying equation (Logarithmic; Wang and Singh, Henderson and Pabis, MMF model and Midilli equation). Midilli equation was optimal for characterizing drying behaviour of prickly pear for the whole range of temperature with a correlation coefficient of 99.99% for the fruit and the cladode and a standard error of 0.0015 for the fruit and 0.0017 for the cladode.

Drying kinetics of prickly pear fruit (Opuntia ficus indica)

2004 ◽  
Vol 61 (2) ◽  
pp. 173-179 ◽  
Author(s):  
S. Lahsasni ◽  
M. Kouhila ◽  
M. Mahrouz ◽  
J.T. Jaouhari
Keyword(s):  
Drying Kinetics ◽  
Prickly Pear ◽  
Pear Fruit ◽  
Opuntia Ficus Indica ◽  
Kinetics Of

scholarly journals Performance Analysis of Solar Assisted Fluidized Bed Dryer Integrated Biomass Furnace with and without Heat Pump for Drying of Paddy

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
M. Yahya
Keyword(s):  
Moisture Content ◽  
Fluidized Bed ◽  
Heat Pump ◽  
Specific Energy Consumption ◽  
Drying Rate ◽  
Fluidized Bed Dryer ◽  
Moisture Extraction ◽  
Rate Period ◽  
Drying Behaviour ◽  
Kinetics Of

The performances of a solar assisted fluidized bed dryer integrated biomass furnace (SA-FBDIBF) and a solar assisted heat pump fluidized bed dryer integrated biomass furnace (SAHP-FBDIBF) for drying of paddy have been evaluated, and also drying kinetics of paddy were determined. The SA-FBDIBF and the SAHP-FBDIBF were used to dry paddy from 11 kg with moisture content of 32.85% db to moisture content of 16.29% db (14% wb) under an air mass flow rate of 0.1037 kg/s within 29.73 minutes and 22.95 minutes, with average temperatures and relative humidities of 80.3°C and 80.9°C and 12.28% and 8.14%, respectively. The average drying rate, specific energy consumption, and specific moisture extraction rate were 0.043 kg/minute and 0.050 kg/minute, 5.454 kWh/kg and 4.763 kWh/kg, and 0.204 kg/kWh and 0.241 kg/kWh for SA-FBDIBF and SAHP-FBDIBF, respectively. In SA-FBDIBF and SAHP-FBDIBF, the dryer thermal efficiencies were average values of 12.28% and 15.44%; in addition, the pickup efficiencies were 33.55% and 43.84% on average, whereas the average solar and biomass fractions were 10.9% and 10.6% and 36.6% and 30.4% for SA-FBDIBF and SAHP-FBDIBF, respectively. The drying of paddy occurred in the falling rate period. The experimental dimensionless moisture content data were fitted to three mathematical models. Page’s model was found best to describe the drying behaviour of paddy.

Effect of Pre-Treatment on the Drying Characteristics and Kinetics of Okra (Abelmoschus esculetus (L.) Moench) Slices

2009 ◽  
Vol 5 (2) ◽  
Author(s):  
Olajide Sobukola
Keyword(s):  
Air Temperature ◽  
Sample Thickness ◽  
Hot Water ◽  
Drying Rate ◽  
Diffusivity Coefficient ◽  
Drying Characteristics ◽  
Rate Period ◽  
Pretreatment Conditions ◽  
Air Dryer ◽  
Kinetics Of

The effects of air temperature (50, 60 and 70°C), sample thickness (2, 4 and 6mm) and pretreatment conditions (hot water blanching, 1 and 3% sodium metabisulphite solutions) on the drying characteristics and kinetics of okra were investigated using a convective hot air dryer at a flow rate of 1.5m/s. It was observed that pretreatment conditions, sample thickness and drying air temperature significantly (P<0.05) affected drying rate. Drying rate increases as temperature of drying air increases from 50 to 70°C. The drying curve for all experiments occurred in the falling rate period with no constant rate period. Three thin layer drying models (Page, modified Page I and Wang and Singh) were evaluated using coefficient of determination (R2), root mean square error (RMSE) and the reduced chi square (?2). The three models can appropriately describe the drying kinetics of okra slices considering the different experimental conditions. The effective diffusivity was determined using the Fick’s model and was observed to vary between 1.125x10-8 – 9.93x10-9m2/s and 1.165x10-8 – 7.131x10-9 m2/s for treated and untreated samples. The Arrhenius-type relationship describes the temperature dependence of diffusivity coefficient and was determined to be 16.749kJ/mol and 22.437kJ/mol for treated and untreated samples respectively.

Conversion of Alkoxide Solutions to Oxides: Evaporation of Products

1989 ◽  
Vol 155 ◽  
Author(s):  
R. A. Lipeles ◽  
D. J. Coleman
Keyword(s):  
High Flow ◽  
Drying Rate ◽  
Flow Rates ◽  
Long Time ◽  
Drying Rates ◽  
Drying Conditions ◽  
Kinetics Of ◽  
By Products ◽  
Evaporation Kinetics ◽  
Kinetics Monitoring

ABSTRACTThe evaporation of organic by-products released during drying of 1-mm thick silicon tetramethoxide gels was analyzed using gas chromatography. The evaporation kinetics of methanol depended on the drying rate achieved by flowing dry air over the gel. For drying at flow rates less than 50 cm 3/min, exponential kinetics were observed initially with a long time constant (about 100- to 400-min). For drying rates greater than 70 cm3/min, diffusional (t−1/2) kinetics were observed initially. Cracking of the gel during drying was used to indicate the degree of stress. At low drying rates, minor cracking was observed near the edges of the gel. At high flow rates, extensive cracking was observed in samples that exhibited early t−1/2 kinetics. Monitoring the kinetics of drying is essential to optimizing the drying conditions to minimize stress and cracking in gels.

scholarly journals Drying kinetics of bananas by natural convection: Influence of temperature, shape, blanching and cultivar

2011 ◽  
Vol 35 (2) ◽  
pp. 368-376 ◽  
Author(s):  
Soraia Vilela Borges ◽  
Maurício C. Mancini ◽  
Jefferson Luiz Gomes Corrêa ◽  
Julia Benedito Leite
Keyword(s):  
Natural Convection ◽  
Exponential Model ◽  
Positive Influence ◽  
Drying Rate ◽  
Cylindrical Shape ◽  
Sample Shape ◽  
Drying Behavior ◽  
Drying Rates ◽  
Kinetics Of ◽  
Good Agreement

The influence of variables as temperature, solid shape, temperature, branching and cultivar on drying of bananas were studied. Bananas from cv. Prata and D'água, on disk and cylindrical shape, blanched or not, were dehydrated in a tray dryer in natural convection at 40 and 70ºC. Drying behavior was analyzed by using a mathematical model. The exponential model showed good agreement to experimental data (r² 0.93 - 0.99 and standard error: 0.01- 0.05). Temperature presented positive influence on drying rate in all the tested conditions. With respect to the sample shape, the disk shape carried out to significantly higher drying rates only for D'água cultivar without blanching. Blanching was significantly influent, with positive influence, on drying rate of banana cv. Prata at 40º C. The influence of the cultivar did not present a defined tendency.

Drying Characteristics of Graininess Agar under Infrared Ray and its Kinetics Model

2013 ◽  
Vol 663 ◽  
pp. 291-296
Author(s):  
Lei Yang ◽  
Qian Qian Ouyang ◽  
Si Dong Li
Keyword(s):  
High Efficiency ◽  
Linear Regression Analysis ◽  
Drying Rate ◽  
Analysis Program ◽  
Drying Method ◽  
Drying Characteristics ◽  
Low Energy Consumption ◽  
Different Temperatures ◽  
Drying Models ◽  
Drying Rates

In order to look for a low-energy–consumption and high-efficiency drying method, the drying characteristics of agar under infrared ray were studied. The results show that temperature has more obvious influence than granularity on the drying rate of agar. With the increase of temperature, the drying rate increases. The agar granularity does not have a significant influence on the drying rate. Comparisons of different drying models at different temperatures were made through linear regression analysis program. The results show that the drying procedure of agar under infrared ray can accurately be described by the Page model, and the drying rates and moisture contents at different drying stages can also be easily estimated with it.

scholarly journals The effect of drying on the mechanical properties and structure of biodegradable films

2018 ◽  
Author(s):  
Gabriela Silveira da Rosa ◽  
Sai Vanga ◽  
Yvan Gariepy ◽  
Vijaya Raghavan
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Convective Drying ◽  
Vacuum Drying ◽  
Drying Rate ◽  
Biodegradable Films ◽  
Film Forming ◽  
Rate Period ◽  
Bovine Gelatin ◽  
Kinetics Of

The aim of this study was to investigate the effect of convective and vacuum drying on properties of biodegradable films. The film-forming solutions were prepared with bovine gelatin and carrageenan. The films solutions were dried in convective and vacuum dryers at temperatures of 40, 50 and 60 oC. The results of convective drying kinetics of biofilms showed a constant drying rate period followed by a falling drying rate period. The results of thickness showed dependence with moisture content present in films.Carrageenan films showed promising results, with high values of tensile strength and elongation for convective drying at 60 oC. Keywords: gelatin; carrageenan; drying; biofilm 

Experimental Study on the Xilingol Lignite Dewatering in Microwave Field

2013 ◽  
Vol 868 ◽  
pp. 442-446
Author(s):  
Wei Dong Wang ◽  
Xiao Yang ◽  
Jing Wen ◽  
Meng Hui Lu ◽  
Chen Gao ◽  
...  
Keyword(s):  
Microwave Field ◽  
Size Composition ◽  
Microwave Drying ◽  
Drying Rate ◽  
Drying Characteristics ◽  
Fine Coal ◽  
Mass Losses ◽  
Drying Rates ◽  
Drying Curves ◽  
Superficial Area

Microwave drying characteristics of Xilingol lignite were investigated with microwave drying testing equipment at 2450 MHz. Effects of particle size has been carefully studied. Mass losses of the samples were measured during drying. Drying rates were then obtained through the trends of drying curves. Results show the 0.6-1mm sample has low drying rate. Changing the stacking superficial area and size composition has been tested and resulted that only mixed with fine coal can increase the drying rate of 0.6-1mm. But classification experiment shows sieving 0-6mm sample into fine sample and coarse sample cannot advance the drying rate obviously.

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