scholarly journals Effects of air temperature and velocity on the drying kinetics and product particle size of starch from arrowroot (Maranta arundinacae)

2017 ◽  
Vol 162 ◽  
pp. 01084 ◽  
Author(s):  
Alvin R. Caparanga ◽  
Rachael Anne L. Reyes ◽  
Reiner L. Rivas ◽  
Flordeliza C. De Vera ◽  
Vithyacharan Retnasamy ◽  
...  
2018 ◽  
Vol 129 ◽  
pp. 85-92 ◽  
Author(s):  
Danielle Rocha ◽  
Erik Spiller ◽  
Patrick Taylor ◽  
Hugh Miller

2019 ◽  
Vol 142 ◽  
pp. 111846 ◽  
Author(s):  
Luana do Nascimento Silveira Dorneles ◽  
André Luís Duarte Goneli ◽  
Claudia Andrea Lima Cardoso ◽  
Cristiane Bezerra da Silva ◽  
Michele Rosemari Hauth ◽  
...  

2019 ◽  
Vol 38 (9) ◽  
pp. 1151-1164 ◽  
Author(s):  
Xiao-Dong Song ◽  
Arun S. Mujumdar ◽  
Chung-Lim Law ◽  
Xiao-Ming Fang ◽  
Wen-Jun Peng ◽  
...  

Author(s):  
Andrea V Mahn ◽  
Paola Antoine ◽  
Alejandro Reyes

Drying kinetics of broccoli florets in a tunnel dryer was studied. Effective moisture diffusivity (Deff) and activation energy for moisture diffusion (E0) were estimated. The effect of air temperature, air flow rate and particle size on antioxidant capacity, greenness and texture were calculated through a 23 factorial design. Air flow rate and temperature significantly affected drying time. Deff fluctuated between 2.82 x 10-10 and 2.00 x 10-9 (m2/s), and E0 was around 42 KJ/mol, agreeing with values reported in literature. The maximum antioxidant activity was obtained at 60°C, air flow rate of 4 m/s and 1.5 cm particle diameter, resulting in a 70 percent reduction in free radical scavenging ability and a 29 percent increase in total reductive capability. Air temperature had significant effect on greenness, and air flow rate significantly affected texture. The optimization of convective drying of broccoli allows maximizing antioxidant activity and minimizing cost by saving energy and time.


2020 ◽  
Vol 43 (9) ◽  
Author(s):  
Leandro Levate Macedo ◽  
Wallaf Costa Vimercati ◽  
Cintia Araújo ◽  
Sérgio Henriques Saraiva ◽  
Luciano José Quintão Teixeira

2013 ◽  
Vol 868 ◽  
pp. 380-385
Author(s):  
Yuan Yang Liu ◽  
Yi Shun Zhang ◽  
Fei Yue Wang ◽  
Chang Liang Shi ◽  
Ling Zhang

Hydraulic classifier is widely used in the mill plant,But the design of traditional hydraulic classifier is simple,less controllable factors, cause the inaccuracy of Classifying product particle size,low classification efficiency. In order to solve these problems, the paper puts forward a new hydraulic classifier, we can improve the efficiency of classification by improving the appearance structure of hydraulic classifier and taking two pieces of top water. In the lab,the classification test was conducted with the coarse slime (0.9~0.3 mm, 0.3~0.074 mm) from Yanma coal preparation plant under the two phase of water supplying. The results of test show that by using two phase of water supplying, the new hydraulic classifier Can improve the classification effect of coarse coal slime.


2015 ◽  
Vol 48 (17) ◽  
pp. 92-97 ◽  
Author(s):  
Stefan Botha ◽  
Ian K. Craig ◽  
Johan D. le Roux

2006 ◽  
Vol 258-260 ◽  
pp. 563-574 ◽  
Author(s):  
J.V. García-Pérez ◽  
Carmen Rosselló ◽  
J.A. Cárcel ◽  
Susana De la Fuente ◽  
A. Mulet

Drying kinetics of carrot cubes were carried out at 1 m/s air velocity at different air drying temperatures (30, 40, 50, 60 and 70±0.1 °C) (AIR experiments), and also at the same experimental conditions but applying high power ultrasound (US experiments). Two kind of diffusion models were used to simulate the drying kinetics, according to external resistance to mass transfer being considered (ER model) or neglected (NER model) for solving the diffusion equation. Diffusion ER model was solved using a finite difference method. Drying rate increased as air temperature was higher. Ultrasound also increased drying rate at the different temperatures, but the improvement on drying rate decreased at high temperatures, and almost disappeared at 70 °C. Effective moisture diffusivities only showed an Arrhenius type relationship with temperature for AIR experiments. The NER diffusion model was not accurate to simulate the drying kinetics at any experimental conditions tested. However, diffusion ER model provided a high closeness between experimental and calculated drying data (VAR>99.80). Through the parameters identified of the ER diffusion model, effective moisture diffusivity and mass transfer coefficient, the influence of the power ultrasound application on internal and external resistance to mass transfer was shown to be significant (p<0.05).


2012 ◽  
Vol 62 (4) ◽  
pp. 497-513 ◽  
Author(s):  
Simon Kukec ◽  
Franc Vrečer ◽  
Rok Dreu

The objective of this work was to investigate the influence of selected individual variables (binder content, inlet air temperature, and product endpoint temperature) of in situ fluid bed melt granulation on the granule particle size distribution and percentage of dissolved carvedilol using a three-factor, five-level circumscribed central composite design. Increased binder content had the effect of increasing the granule particle size and drug dissolution rate. The effect of inlet air temperature and product endpoint temperature was found to be more pronounced in case of granule particle size parameters. Within the studied intervals, the optimal quantity of binder as well as optimal process parameters were identified and validated using response surface methodology. Utilizing these optimal process and formulation parameters, successful scaling up of the fluid bed melt granulation process was carried out. Granule characteristics obtained at pilot scale are comparable to those obtained at laboratory scale.


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