Evaluation of single particle drying characteristics using drying models and curve fitting

2021 ◽  
pp. 1-12
Author(s):  
Pinar Celen ◽  
Hasan H Erdem ◽  
Saban Pusat
Keyword(s):  
Curve Fitting ◽  
Single Particle ◽  
Drying Characteristics ◽  
Drying Models

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.

Drying Characteristics of Soybean (Glycine Max) Using Continuous Drying and Intermittent Drying

2018 ◽  
Vol 14 (9-10) ◽  
Author(s):  
Hyeon W. Park ◽  
Won Y. Han ◽  
Won B. Yoon
Keyword(s):  
Activation Energy ◽  
Moisture Content ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Drying Time ◽  
Drying Characteristics ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Thin Layer Drying Models ◽  
Best Fit

AbstractThe effects of drying temperature by continuous and intermittent drying on the drying characteristics of soybean were determined in this study. Among the thin-layer drying models, the Midilli–Kucuk model showed the best fit (R2> 0.99) to describe the drying of soybean. At 300 min of the effective drying time, the moisture content of continuous drying at 35, 40, and 45 ºC were 9.38 (±0.00), 8.69 (±0.17), and 7.70 % (±0.48), respectively; while the moisture content of intermittent drying at 35, 40, and 45 ºC were 8.28 (±0.21), 7.31 (±0.41), and 6.97 % (±0.07), respectively. The image analysis method for detection of the crack in soybean demonstrated that at the target moisture content (7.7 %), cracked grain ratios with intermittent drying at 35, 40, and 45 ºC were reduced by 52.08, 27.59, and 18.24 %, respectively. With the effective drying time, the activation energy for intermittent drying (9.33 kJ/mol) was significantly lower than that value for continuous drying (21.23 kJ/mol).

scholarly journals Some Aspects of the Modelling of Thin-Layer Drying of Sawdust

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 726
Author(s):  
Andrzej Bryś ◽  
Agnieszka Kaleta ◽  
Krzysztof Górnicki ◽  
Szymon Głowacki ◽  
Weronika Tulej ◽  
...  
Keyword(s):  
Theoretical Model ◽  
Thin Layer ◽  
Air Temperature ◽  
Mean Square ◽  
Drying Process ◽  
Airflow Velocity ◽  
Chi Square ◽  
Drying Characteristics ◽  
Thin Layer Drying ◽  
Drying Models

Drying of spruce, beech, willow, and alder sawdust was examined in a laboratory type dryer. The effect of drying air temperature T (25, 60, and 80 °C) and airflow velocity v (0.01, 0.15, and 1.5 m/s) was investigated. The obtained results demonstrated that drying air temperature and airflow velocity have impacts on the drying of sawdust. The experimental dehydration data of sawdust obtained were fitted to theoretical, semi-theoretical, and empirical thin-layer models. The accuracies of the models were estimated using the correlation coefficient (R), root mean square error (RMSE), and reduced chi-square (χ2). All models except the theoretical model of a sphere described the drying characteristics of sawdust satisfactorily. The effect of T and v on the parameters (constants and coefficients) of the drying models were determined. The effect, by the proposed equations, was also described. This work combines aspects of mechanical engineering and modelling of the drying process.

scholarly journals Thin-Layer Drying Characteristics and Modeling of Chinese Jujubes

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Xiao-Kang Yi ◽  
Wen-Fu Wu ◽  
Ya-Qiu Zhang ◽  
Jun-Xing Li ◽  
Hua-Ping Luo
Keyword(s):  
Thin Layer ◽  
Distribution Model ◽  
Drying Time ◽  
Drying Characteristics ◽  
Simulation And Optimization ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Higher Temperature ◽  
Drying Rates ◽  
Experimental Values

A mathematical modeling of thin-layer drying of jujubes in a convective dryer was established under controlled conditions of temperature and velocity. The drying process took place both in the accelerating rate and falling rate period. We observed that higher temperature reduced the drying time, indicating higher drying rates of jujubes. The experimental drying data of jujubes were used to fit ten different thin-layer models, then drying rate constants and coefficients of models tested were determined by nonlinear regression analysis using the Statistical Computer Program. As for all the drying models, the Weibull distribution model was superior and best predicted the experimental values. Therefore, this model can be used to facilitate dryer design and promote efficient dryer operation by simulation and optimization of the drying processes. The volumetric shrinkable coefficient of jujubes decreased as the drying air temperature increased.

Drying Characteristics and Assessment of Physicochemical and Microstructural Properties of Dried Culinary Banana Slices

2015 ◽  
Vol 11 (5) ◽  
pp. 667-678 ◽  
Author(s):  
Prerna Khawas ◽  
Kshirod K. Dash ◽  
Arup J. Das ◽  
Sankar C. Deka
Keyword(s):  
Chemical Properties ◽  
Moisture Diffusivity ◽  
Scanning Electron Micrographs ◽  
Rehydration Ratio ◽  
Drying Characteristics ◽  
Nonenzymatic Browning ◽  
Rate Period ◽  
Drying Models ◽  
Nonlinear Form ◽  
Temperature Scanning

Abstract This study quantifies the drying characteristics and quality attributes of culinary banana at various temperatures (40–70°C) which exhibited falling rate period. Among the different drying models, Wang and Singh model was found the best fitted model with lowest Ӽ2 and highest R2 values. The coefficients of Wang and Singh model were expressed in nonlinear form as a function of temperature and a new model was developed in which moisture ratio is expressed as a function of time and temperature. Effective moisture diffusivity increased with increase in drying temperature. Scanning electron micrographs showed that samples dried at 70°C produced larger pores which resulted in better rehydration ratio and minimum hardness. The nonenzymatic browning occurred faster at 70°C and in addition, the chemical properties were not significantly affected by drying temperatures.

scholarly journals Influence of temperature and thickness on thin layer drying characteristics of onion (Allium cepa L.) varieties and rehydration capacity

2020 ◽  
Vol 12 (2) ◽  
pp. 165-176
Author(s):  
Sunday Samuel Sobowale ◽  
Oluwole Benjamin Omotoso ◽  
Yusuf Olamide Kewuyemi ◽  
Olawale Paul Olatidoye
Keyword(s):  
Thin Layer ◽  
Moisture Diffusivity ◽  
Quality Characteristics ◽  
Nonlinear Regression Analysis ◽  
Rehydration Ratio ◽  
Drying Characteristics ◽  
Allium Cepa L ◽  
Thin Layer Drying ◽  
Drying Models

Nonlinear regression analysis was conducted for thin layer drying characteristics of two onion varieties (white and red) and some quality characteristics were also examined. The experimental data obtained at drying temperatures of 40, 50, and 60 oC and thicknesses of 2, 4 and 6 mm, was subsequently fitted into four commonly used models (Henderson and Pabis, Lewis, Page, and logarithmic). Moisture diffusivity and activation energy ranged from 8.9 × 10-10 to 8.4 × 10-9 m2/s and 55.98 to 65.68 KJ/mol, respectively. Significant differences (p<0.05) were observed in the colour profile and rehydration ratio. The optimum desirable colour was obtained at 50 oC with 2 mm thick onion slices and the observed higher rehydration ratio indicates good quality of dried onions. Among the four selected drying models, the Page model predicted optimally (R2> 0.9) and was found to be better in describing dried onion varieties, while the Lewis model provided the least fit.

scholarly journals Solar Drying Kinetics of Cass Ava Slices in a Mixed Flow Dryer

2015 ◽  
Vol 18 (4) ◽  
pp. 102-107 ◽  
Author(s):  
Olawale Usman Dairo ◽  
Adewole Ayobami Aderinlewo ◽  
Olayemi Johnson Adeosun ◽  
Ibukun Adekola Ola ◽  
Tolulope Salaudeen
Keyword(s):  
Diffusion Mechanism ◽  
Coefficient Of Determination ◽  
Drying Time ◽  
Drying Characteristics ◽  
Solar Dryer ◽  
Thin Layer Drying ◽  
Chamber Temperature ◽  
Drying Models ◽  
Kinetics Of ◽  
Drying Curve

Abstract Drying characteristics of cassava slices was investigated in a mixed mode natural convection solar dryer to obtain a suitable mathematical model describing the drying. The average drying chamber temperature was between 34 ±2 °C and 50 ±1.8 °C, while 10 commonly used thin layer drying models were used for drying curve modelling. Coefficient of determination (R2) and root mean square error (RMSE) were used to determine the models performances. The drying curve of cassava slices showed a reduction of moisture content with increased drying time in the solar dryer, and the variation of moisture ratio exponentially decreased with increased drying time. The Midilli and Logarithmic models showed better fit to the experimental drying data of cassava slices. As compared with other models tested, there were no significant differences (p >0.05) in the R2 values obtained for the Midilli and Logarithmic models; hence, the Logarithmic model was preferable because of the lower RMSE. The diffusion mechanism could be used to describe the drying of cassava slices that was found to be in the falling rate period. A diffusion coefficient (Deff) of 1.22 × 10-8 m2 s-1 was obtained, which was within the established standard for food products.

scholarly journals Modeling of hot air drying of coconut residue

2018 ◽  
Vol 192 ◽  
pp. 03061
Author(s):  
Pattawee Wutthigarn ◽  
Jeerayut Hongwiangjan ◽  
Jiraporn Sripinyowanich Jongyingcharoen
Keyword(s):  
Exponential Model ◽  
Hot Air Drying ◽  
Drying Time ◽  
Air Drying ◽  
Drying Characteristics ◽  
Drying Temperature ◽  
Polynomial Type ◽  
Hot Air ◽  
Best Fitting ◽  
Drying Models

In this study, the effect of drying temperature (50-110°C) on hot air drying characteristics of coconut residue was investigated. The drying time and drying rate (DR) were in the ranges of 540-100 min and 0.0048-0.0182 g water/g dry matter·min at the drying temperature of 50-110°C, respectively. Six drying models (Lewis, Page, Henderson and Pabis, Logarithmic, Midilli et al, and linear-plus-exponential model) were used to determine the change in moisture ratio (MR) with drying time. The linear-plus-exponential model provided best fitting of the predicted MR to the experimental MR with the highest average R2 of 0.9985 and the lowest RMSE of 0.01463. The variation of drying temperature with the constants and coefficient of the model was polynomial type. The generalized linear-plus-exponential model as a function of drying temperature gave best result of prediction of MR with the R2 of 0.9709.

scholarly journals Thin-layer drying of sawdust mixture

2016 ◽  
Vol 18 (4) ◽  
pp. 65-70 ◽  
Author(s):  
Krzysztof Górnicki ◽  
Agnieszka Kaleta ◽  
Andrzej Bryś ◽  
Radosław Winiczenko
Keyword(s):  
Theoretical Model ◽  
Thin Layer ◽  
Infinite Plane ◽  
Chi Square ◽  
Drying Characteristics ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Drying Behaviour ◽  
Effect Of The Composition ◽  
Better Than

Abstract Drying behaviour of sawdust mixture was investigated in a convective dryer at 0.01 m/s and 25, 60, and 150°C air temperature. Sawdust mixture (60% of spruce and 40% of the second ingredient: beech, willow, ash, alder) and sawdust of spruce, beech, willow, alder and ash was used in the drying experiments. The sawdust mixture drying was affected by the drying of its ingredients. The experimental drying data were fitted to the theoretical, semi–theoretical, and empirical thin-layer models. The accuracies of the models were measured using the correlation coefficient, root mean square error, and reduced chi–square. All semi-theoretical and empirical models described the drying characteristics of sawdust mixture satisfactorily. The theoretical model of a sphere predicts the drying of sawdust mixture better than the theoretical model of an infinite plane. The effect of the composition of the sawdust mixture on the drying models parameters were also taken into account.

Sign in / Sign up

Export Citation Format

Share Document