<i>Effects of different drying methods on the product quality and drying kinetics of banana slices</i>

2019 ◽  
Author(s):  
Zhian Zheng ◽  
Dalong Jiang ◽  
Lei Gao ◽  
Guangfei Zhu ◽  
Yawen Lin
LWT ◽  
2019 ◽  
Vol 107 ◽  
pp. 236-242 ◽  
Author(s):  
Qingfa Wang ◽  
Song Li ◽  
Xue Han ◽  
Yuanying Ni ◽  
Dandan Zhao ◽  
...  

2009 ◽  
Vol 102 (2) ◽  
pp. 153-161 ◽  
Author(s):  
C.L. Hii ◽  
C.L. Law ◽  
M. Cloke ◽  
S. Suzannah

2014 ◽  
Vol 660 ◽  
pp. 367-372
Author(s):  
Muhammad Hanif Zainal Abidin ◽  
Sulastri Sabudin ◽  
Jamal Hazri Zakaria ◽  
Mohd Faizal Mohideen Batcha

With the increasing demand for new and energy efficient drying methods of agricultural products, various techniques were deviced by researchers around the world. This techniques usually developed in laboratory scale prior to scale-up for actual industrial application. During this stage, modeling usually involved to aid scaling up process. This paper presents the modeling of drying kinetics of grated coconut using three semi emperical thin layer model. These models were Logarithmic, Modified Handerson and Pabis, and Verma et al models. Moisture ratio predicted by these models were compared against experimental drying carried out at four temperatures: 50°C, 60°C, 70°C and 80°C. The performance of these models were analyzed statistically using non-linear regression using LabFit software. The statistical parameters analyzed were coefficient of determination (R2), reduced Chi-square (X2), Root Mean Square Error (RMSE) and Residuals. Higher R2 with lower X2, RMSE and Residuals implies good predictability of the models. From the analysis, it was found that Logarithmic model yields the best predictive capability of grated coconut drying kinetics with R2 = 0.9996387, X2 =0.505535x10-3, RMSE = 0.00623597 and Residuals = 0.0703607.


2007 ◽  
Vol 25 (7-8) ◽  
pp. 1349-1357 ◽  
Author(s):  
P. Rajkumar ◽  
S. Kulanthaisami ◽  
G. S. V. Raghavan ◽  
Y. Gariépy ◽  
V. Orsat

Author(s):  
Andreas Bück ◽  
Carsten Seidel ◽  
Christoph Neugebauer ◽  
Robert Dürr

Convective drying is a common process for the treatment of particulate solids also operated in continuous mode. Continuous operation is characterised by operation in steady-state with constant product throughput and constant product quality. Due to external influences, i.e. seasonal or local variations in the properties of the initial wet material, deviations in the product quality can result, for example over- or under-drying, or on-set of unwanted reaction. In this contribution a new feedback control concept is developed that is robust with respect to variations and uncertainties in the drying kinetics of the material and can reject and attenuate process disturbances. Keywords: Process control; drying kinetics; robustness; fluidized bed; yeast. 


2016 ◽  
Vol 35 (2) ◽  
pp. 240-248 ◽  
Author(s):  
Xiaohuang Cao ◽  
Min Zhang ◽  
Zhongxiang Fang ◽  
Arun S. Mujumdar ◽  
Hao Jiang ◽  
...  

2011 ◽  
Vol 412 ◽  
pp. 459-462
Author(s):  
Lan Chen ◽  
Chun Hua Lin ◽  
Yun Hui Xie ◽  
Song Du

Drying is one of the most important methods for industrial processing since moisture content is an extremely relevant parameter affecting the crucial properties of final products. Nowadays, fluidized bed drying technology is widely employed in various industries. Comparing to other drying methods, fluidized beds generate high efficient thermal conditions. In the current study, drying kinetics of cornstarch granules was investigated in a fluidized bed dryer. The drying experiments were performed at different temperatures and velocities of the inlet drying air and in different granule sizes. The results showed that air temperature had the most significant effect on the drying rate among the three variables. Five drying empirical models were fitted to the experimental moisture data and were evaluated using the determination coefficient and chi-square. Four of the models were found to be suitable for describing the drying behavior of cornstarch granules. Therefore, it is possible for them to be applied to estimate the drying end-point of cornstarch granules as well as to design and scale up of the drying process for the similar products in the fluidized bed dryer.


Author(s):  
Patricia M. Crivelari Costa ◽  
Aloisio Bianchini ◽  
Carlos Caneppele ◽  
Patricia H. de Azevedo ◽  
Ana L.da Silva

ABSTRACT The seeds of most crops are often harvested with water concentrations above the recommended levels; for instance, amaranth crops can be harvested under water contents up to 40%. Therefore, drying of the harvest is essential to preserve its post-harvest quality. Thus, the objective of this study was to investigate the drying kinetics of Amaranthus cruentus ‘BRS Alegria’ seeds dried via natural and artificial methods. Drying experiments were conducted in laboratory under natural methods, in shaded and open sun conditions, and also under artificial drying at temperatures of 60, 80 and 100 °C. The average temperatures of the seed mass were 30, 40, 50, 60, and 70 °C for the natural drying methods, shaded and open sun, and under the artificial drying at temperatures of 60, 80, and 100 °C. The modified Midilli equation proved to be the best model for describing the drying kinetics of Amaranthus cruentus ‘BRS Alegria’ seeds. For the artificial drying method at temperatures of 60, 80, and 100 °C, durations of 2.5, 3.5, and 7 hours were respectively required to reduce the water content from 21.1% to 11.5%; and, 4.25, 4.75, and 10 hours to reduce concentration 21.1% to 8.5%. For natural drying under open sun, a drying time of 15 hours was required; for shaded conditions, a drying time of 164 hours was required until the water concentration reduced to 13% which was the equilibrium moisture.


2017 ◽  
Vol 21 (4) ◽  
pp. 5-13 ◽  
Author(s):  
Michał Bialik ◽  
Ewa Gondek ◽  
Artur Wiktor ◽  
Piotr Latocha ◽  
Dorota Witrowa-Rajchert

AbstractConsumers and scientists exhibit a growing interest in bioactive ingredients of natural origin with strong pro-health effects. Such properties have been found in fruits of of Actinidia argute, commonly known as kiwiberry (mini kiwi or hardy kiwi). Appropriate methods and parameters of the drying process enable obtaining a product with preserved high pro-health properties. The obejctive of this paper was to study the influence of the selected drying methods on the drying kinetics of actinidia. Commonly known mathematical models were used to describe the process. The kinetics of convective, microwave-convective, infrared and vacuum drying was investigated. The process was performed until samples reached dimensionless moisture ratio (MR) of 0.02. The quickest method was vacuum drying reaching moisture ratio target after 286 min, and the slowest was convective drying characterized by 1352 min of drying. In general, Midilli et al.’s model was evaluated as the most adequate for description of the moisture transfer in the fruit samples.


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