scholarly journals Model Pengeringan Lapisan Tipis Rebung Bambu “Tabah” (Gigantochloa nigrociliata KURZ)

2016 ◽  
Vol 9 (1) ◽  
pp. 62-73
Author(s):  
Gede Arda ◽  
P.K. Diah Kencana ◽  
IBP. Gunadnya ◽  
Ni Luh Yulianti
Keyword(s):  
Thin Layer ◽  
Coefficient Of Determination ◽  
Drying Process ◽  
Page Model ◽  
Air Temperatures ◽  
Bamboo Shoots ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Preliminary Study ◽  
Drying Model

Abstrak. Rebung bambu tabah (Gigantochloa nigrociliata KURZ) merupakan produk khas daerah Pupuan, Tabanan, Bali yang mempunyai potensi untuk dikembangkan sebagai produk yang bernilai ekonomis. Kajian awal proses pengeringan rebung untuk meningkatkan umur simpan rebung bambu Tabah dilakukan pada penelitian ini. Kurva laju pengeringan rebung bambu Tabah memberikan informasi penting untuk proses pengeringan. Oleh karena itu, tujuan penelitian ini adalah mempelajari karakteristik laju pengeringan rebung bambu Tabah melalui aplikasi model pengeringan lapisan tipis. Rebung bambu Tabah yang dibelah menjadi dua dan empat bagian dikeringkan pada suhu 50oC, 60oC, dan 70oC. Perubahan kadar air setiap saat kemudian dimodelkan dengan model Newton dan Page. Kesesuaian model yang digunakan dievaluasi dengan menentukan nilai koefisien determinasi (r2) dan RMSE dari model. Hasil menunjukkan bahwa model Page lebih baik digunakan untuk memodelkan pengeringan rebung bambu Tabah pada semua perlakuan. Model Newton menunjukkan ketidaksesuaian yang sangat tinggi pada suhu 50oC namun kesesuaiannya meningkat pada suhu yang lain.  Thin Layer Drying Model of Bamboo Shoots “Tabah” (Gigantochloa nigrociliata KURZ) Abstract. Bamboo shoots Tabah (Gigantochloa nigrociliata KURZ) is a unique product of Pupuan District, Tabanan, Bali which is potent to be developed as highly value product. Preliminary study of the bamboo shoots drying to enhance its storage life was conducted in this research. Bamboo shoots Tabah’s drying rate curve give an important information for its drying process. Therefore, the aim of this research was to study the characteristics of bamboo shoots Tabah drying by applying thin layer drying models. Bamboo shoots split into two and four pieces were dried under drying air temperatures 50oC, 60oC, and 70oC. Instantaneous moisture content of the shoots are modeled by Newton and Page model. The goodness of the models were evaluated by determining its coefficient of determination (r2) and RMSE. The results showed that Page model was better to model the bamboo shoots Tabah drying process on all drying treatments. The Newton Model indicated the worst fit on drying air temperature 50oC while showed better fit on other temperatures.

Drying Process Modelling for Heavy Clay Products Using a New Thin Layer Drying Model

2013 ◽  
Vol 371 ◽  
pp. 323-327
Author(s):  
Miloš Vasić ◽  
Zagorka Radojević
Keyword(s):  
Thin Layer ◽  
Mathematical Models ◽  
Process Modelling ◽  
Experimental Investigations ◽  
Drying Process ◽  
Thin Layer Drying ◽  
Heavy Clay ◽  
Drying Models ◽  
Drying Model ◽  
Thin Layer Drying Models

Drying results, determined on samples made of masonry clay from the locality "Banatski Karlovac", are presented in this study. Experimental investigations were carried out in a laboratory recirculation dryer in which drying parameters (humidity, temperature, and velocity) could be programmed, controlled and monitored during drying process. Several mathematical models were used for drying process modelling. New semi-theoretical thin layer drying model, for heavy clay products, was developed and presented in this study. It represents a modification of Page's and logarithm's thin layer drying models. Results presented in this study have shown that new thin layer drying model describes and correlates the best experimentally determined drying process.

scholarly journals Modelling and characteristics of thin layer convective air-drying of thyme (Thymus vulgaris) leaves

2019 ◽  
Vol 37 (No. 2) ◽  
pp. 128-134
Author(s):  
Osman Yağız Turan ◽  
Ebru Fıratlıgil
Keyword(s):  
Thin Layer ◽  
Goodness Of Fit ◽  
Food Preservation ◽  
Moisture Ratio ◽  
Coefficient Of Determination ◽  
Thymus Vulgaris ◽  
Drying Process ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Kinetics Of

Fruit and vegetable dehydration has been extensively studied for the improvement of food preservation. Effects of drying temperature on the drying kinetics of thyme were investigated and a suitable drying model was obtained to describe the drying process. Drying behaviour of thyme leaves at temperatures of 50, 60, 70 and 80°C was determined by using a conventional drying oven, and moisture ratio and drying rates were calculated. Four different thin layer drying models, namely Lewis, Henderson and Pabis, Page, and logarithmic models, were used to fit the experimental moisture ratio data. Three statistical parameters: coefficient of determination (R<sup>2</sup>), chi-square (χ<sup>2</sup>) and root mean square error (RMSE) were used to compare the goodness of fit of the drying models. Logarithmic model and Page model give the best description of the drying process kinetics of thyme leaves by comparing the experimental values and predicted values.

A Mathematical Model for Thin-Layer Drying of Litchi Pulp

2012 ◽  
Vol 192 ◽  
pp. 51-56
Author(s):  
Zhi Qiang Guan ◽  
Xiu Zhi Wang ◽  
Min Li ◽  
Xiao Qiang Jiang
Keyword(s):  
Experimental Data ◽  
Thin Layer ◽  
Heat Pump ◽  
Moisture Ratio ◽  
Drying Time ◽  
Page Model ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Heat Pump Drying ◽  
Predicted Values

A drying experiment of litchi pulp was done with a self-built heat-pump drying system. A few commonly-used thin-layer drying models for foods were linearized and fitted with the drying experimental data to select a relatively optimal model of depicting the relationship between moisture ratio and drying time of the heat-pump drying of litchi pulp. It was found that the Page model is relatively optimal. The multivariate linear regression approach was employed to solve for the parameters of the Page model based on experimental data and an experimental verification was conducted; the verification results show that the predicted values of the Page model have a good fitness with the measured values and thus the Page model can predict more accurately the moisture ratio and drying rate of litchi pulp in a heat-pump drying process.

Thin Layer Drying Process of Some Leafy Vegetables under Open Sun

2007 ◽  
Vol 13 (1) ◽  
pp. 35-40 ◽  
Author(s):  
O. P. Sobukola ◽  
O. U. Dairo ◽  
L. O. Sanni ◽  
A. V. Odunewu ◽  
B. O. Fafiolu
Keyword(s):  
Thin Layer ◽  
Effective Diffusivity ◽  
Thin Layers ◽  
Leafy Vegetables ◽  
Drying Process ◽  
Chi Square ◽  
Thin Layer Drying ◽  
Rate Period ◽  
Drying Models ◽  
Drying Curves

Open sun drying experiments in thin layers of crain-crain (CC), fever (FV) and bitter (BT) leaves grown in Abeokuta, Nigeria were conducted. The drying process took place in the falling rate period and no constant rate period was observed from the drying curves. Eight thin layer mathematical drying models were compared using the multiple determination coefficients (R2), reduced chi-square (χ2) and root mean square error (RMSE) between the observed and predicted moisture ratios. Accordingly, Midilli et al. model satisfactorily described the drying curves of the three leaves with R2 of 0.9980, χ2 of 2.0×10-4 and RMSE of 1.09×10-2 for CC leaves; R2 of 0.9999, χ2 of 2×10-6 and RMSE of 1.11×10-3 for FV leaves; and R2 of 0.9998, χ2 of 1.9×10-5 and RMSE of 3.3×10-3 for BT leaves. The effective diffusivity was found to be 52.91×10-10, 48.72×10-10 and 43.42×10-10 m2/s for CC, BT and FV leaves, respectively.

scholarly journals Kinetika Pengeringan Lapisan Tipis Daun Jati Belanda (Thin Layer Drying Kinetics of Guazuma Ulmifolia Leaves)

2021 ◽  
Vol 8 (2) ◽  
pp. 53-62
Author(s):  
Hendri Syah ◽  
Armansyah Halomoan Tambunan ◽  
Edy Hartulistiyoso ◽  
Lamhot Parulian Manalu
Keyword(s):  
Mass Transfer ◽  
Thin Layer ◽  
Moisture Diffusivity ◽  
Drying Kinetics ◽  
Coefficient Of Determination ◽  
Convective Mass Transfer ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Guazuma Ulmifolia ◽  
Kinetics Of

The objectives of this study were to determine a suitable thin layer drying model to describe the drying kinetics of Guazuma ulmifolia leaves and determine the mass transfer parameters of Guazuma ulmifolia leaves. The drying of Guazuma ulmifolia leaves was conducted in a laboratory scale dryer with various temperature (40oC, 50oC, and 60oC) and relative humidity (30%, 40%, 50% and 60%). Five drying models, namely, Newton, Henderson and Pabis, Page, Midilli-Kucuk, and Verma et al. were fitted to the drying data. The drying curve of guazuma leaves did not show a constant drying period during the drying period. The models suitability were compared base on coefficient of determination (R2), root square mean errors (RSME), and reduced mean square of deviation (X2). It was found that, among the models evaluated, the Midilli and Kucuk model is the best to describe the drying kinetics of Guazuma ulmifolia leaves. The effective moisture diffusivity was found to be in the range of 10-13 – 10-12 m2/s and the convective mass transfer coefficient was in the range of 10-9 – 10-10 m/s. The activation energy value was found to be 89.21 kJ/mol.

scholarly journals Drying Kinetics of Sliced Pineapples in a Solar Conduction Dryer

2017 ◽  
Vol 7 (2) ◽  
pp. 14 ◽  
Author(s):  
Luqman Ebow Ibn Daud ◽  
Isaac Nyambe Simate
Keyword(s):  
Thin Layer ◽  
Average Moisture Content ◽  
Drying Time ◽  
Sun Drying ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Drying Model ◽  
Thin Layer Drying Models ◽  
Drying Curves ◽  
Kinetics Of

As a means of adding value to pineapple production and minimising post-harvest losses, sliced pineapples were dried using a Solar Conduction Dryer (SCD) and appropriate thin layer drying models to predict drying were developed whilst the performance of the SCD was also investigated. For the period of the experiment, ambient temperature and temperature in the dryer ranged from 24 to 37 °C and 25 to 46 ℃ respectively. The performance of the dryer was compared to open sun drying using pineapple slices of 3-5 mm in thickness where the slices were reduced from an average moisture content of 85.42 % (w.b.) to 12.23 % (w.b.) by the SCD and to 51.51 % (w.b.) by the open sun drying in 8 hours effective drying time. Pineapple slices of thicknesses 3 mm, 5 mm, 7 mm and 10 mm were simultaneously dried in the four drying chambers of the SCD and their drying curves simulated with twelve thin layer drying models. The Middilli model was found as the best fitted thin layer drying model for sliced pineapples. The optimum fraction of drying tray area that should be loaded with pineapples was also investigated by simultaneously loading 7 mm slices of pineapples at 50, 75, and 100 percent of drying tray area. Loading the slices at 50, 75 and 100 percent of drying tray area gave overall thermal efficiencies of 23, 32 and 44 percent, respectively, hence loading pineapple slices at 100 percent drying tray area was recommended as the best.

Evaluation of a Bulk Drying Model for Peanuts1

1992 ◽  
Vol 19 (1) ◽  
pp. 1-7 ◽  
Author(s):  
M. Parti ◽  
J. H. Young
Keyword(s):  
Moisture Content ◽  
Thin Layer ◽  
Flow Rate ◽  
Test Results ◽  
Air Flow Rate ◽  
Moisture Movement ◽  
Moisture Contents ◽  
Air Temperatures ◽  
Thin Layer Drying ◽  
Drying Model

Abstract Results of a peanut bulk drying model, PEADRY8, have been compared with experimental test results for Virginia-type peanuts. The model describes the peanut pod as two separate components with moisture movement in both liquid and vapor form. The Henderson equation was used to describe the equilibrium moisture contents of the kernel and the hull. The following conclusions were drawn: (1) predicted drying times averaged 11% longer than the observed values; (2) predicted kernel moisture contents at the top of the wagons averaged 5% less than the measured values; (3) predicted hull moisture contents at the top of the wagons averaged 17% higher than the observed values; (4) predicted hull final moisture contents at the top of the wagons average 21% higher than measured values and (5) predicted exhaust air temperatures averaged 1% higher than measured values. An attempt was made to improve the fit of the observed and simulated results by changing the equation to describe the equilibrium moisture contents. The Chung-Pfost equation, compared to the Henderson equation, was more accurate in describing the hull moisture content and less accurate in describing the kernel moisture content history. Changing the reference air flow rate of the thin-layer drying relationship did not give a better fit between the observed and predicted data. Several drying simulations were found to be very sensitive to small changes in either wet-bulb or dry-bulb temperature. Small errors in wet-bulb temperature measurement could account for the predicted drying times for six experiments which were excessively long relative to observed values.

Thin-Layer Drying Model of Rambutan (Nephelium lappaceum L.) Kernel and Its Application in Fat Extraction Process

2015 ◽  
Vol 11 (2) ◽  
pp. 243-253 ◽  
Author(s):  
Sirirattana Chimplee ◽  
Utai Klinkesorn
Keyword(s):  
Thin Layer ◽  
Seed Storage ◽  
Coefficient Of Determination ◽  
Alternative Source ◽  
Fat Extraction ◽  
Nephelium Lappaceum ◽  
Thin Layer Drying ◽  
Drying Model ◽  
Fat Yield ◽  
Air Dryer

Abstract Rambutan (Nephelium lappaceum L.) kernels contain a high amount of fat and it has a potential to be used as a new alternative source of edible vegetable fat. Drying of fat seed can improve the fat yield and prolong the seed storage shelf life. Therefore the drying behaviour of rambutan kernels was investigated using a hot air dryer for 6 h at each of three temperatures, 45°C, 55°C and 65°C. Based on the coefficient of determination (R2) and root mean square error (RMSE), modified Henderson and Pabis model was found to be the best thin-layer drying model for rambutan kernels (R2 > 0.99 and RMSE < 0.02). The effective moisture diffusivity of rambutan kernels, estimated from a modified equation of Fick’s second law of diffusion, was 2.56 × 10–10 to 3.68 × 10–10 m2 s–1. The result of fat extraction significantly indicates the effect of low moisture rambutan kernels on the fat yield enhancing (P < 0.05).

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.

Mathematical Modeling of Thin Layer Drying Kinetics of Apple in Tunnel Dryer

2008 ◽  
Vol 4 (8) ◽  
Author(s):  
Raj Kumar Goyal ◽  
Mujjeb O ◽  
Vinod Kumar Bhargava
Keyword(s):  
Thin Layer ◽  
Moisture Diffusivity ◽  
Drying Kinetics ◽  
Tunnel Dryer ◽  
Air Temperatures ◽  
Thin Layer Drying ◽  
Apple Slices ◽  
Drying Models ◽  
Drying Behaviour ◽  
Kinetics Of

In this study, the drying kinetics of apple (control, blanching and blanching in 1% potassium meta bisulphate) in a tunnel dryer was studied at 50, 60, and 70°C air temperatures. The drying of apple slices occurred in a falling rate period. It was found that treated apple slices dried faster. Six thin layer-drying models were fitted to the experimental moisture ratio. Among the mathematical models evaluated, the logarithmic model satisfactorily described the drying behaviour of apple slices with high r2 values. The effective moisture diffusivity (Deff) of apple slices increased as the drying air temperature increased. The Deff values were higher for the treated samples than for the control.

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