Determination of Sliced Pineapple Drying Characteristics in A Closed Loop Heat Pump Assisted Drying System

被引:18
作者
Tunckal, Cuneyt [1 ]
Coskun, Salih [2 ]
Doymaz, Ibrahim [3 ]
Ergun, Enes [4 ]
机构
[1] Yalova Univ, Yalova Community Coll, Elect & Energy Dept, Air Conditioning & Refrigerat Technol Program, TR-77100 Yalova, Turkey
[2] Vocat Sch Tech Sci, Elect & Energy Dept, Air Conditioning & Refrigerat Technol Program, TR-16059 Bursa, Turkey
[3] Yildiz Tech Univ, Dept Chem Engn, TR-34210 Istanbul, Turkey
[4] Uludag Univ, Inst Sci, TR-16059 Gorukle, Bursa, Turkey
来源
INTERNATIONAL JOURNAL OF RENEWABLE ENERGY DEVELOPMENT-IJRED | 2018年 / 7卷 / 01期
关键词
Heat pump; dryer; pineapple; drying; drying kinetics;
D O I
10.14710/ijred.7.1.35-41
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Pineapple (Ananascomosus) slices were dried with the aid of a heat pump assisted dryer (HPD). During this process, air velocity was kept constant at 1m/s, while air temperatures were changed as 37 degrees C, 40 degrees C and 43 degrees C. The drying air was also circulated by using an axial fan in a closed cycle and fresh air was not allowed into the system. The drying rate and drying time were significantly influenced by drying temperature. It was observed that drying temperatures had significant effects on the drying rate and drying time. During the conduct of the study, pineapple slices were dried at 37, 40 and 43 degrees C for 465, 360 and 290 min, respectively. The specific moisture extraction ratio (SMER) values were observed to change as drying temperatures were changed. The drying rate curves indicated that the whole drying process occurred in the falling rate period. Seven well-known thin-layer models (Lewis, Henderson & Pabis, Logarithmic, Page, Midilli & Kucuk, Weibull and Aghbashlo et al.) were employed to make a prediction about drying kinetics through nonlinear regression analysis. The Midilli & Kucuk and Aghbashlo et al. models were consistent with the experimental data. Fick's second law of diffusion was used to determine the moisture diffusivity coefficient ranging from 3.78x10(-9) to 6.57x10(-9) m(2)/s the each of the above mentioned temperatures. The dependence of effective diffusivity coefficient on temperature was defined by means a fan Arrhenius type equation. The activation energy of moisture diffusion was found to be 75.24kJ/mol.
引用
收藏
页码:35 / 41
页数:7
相关论文
共 32 条
[1]   Mathematical model development and simulation of heat pump fruit dryer [J].
Achariyaviriya, S ;
Soponronnarit, S ;
Terdyothin, A .
DRYING TECHNOLOGY, 2000, 18 (1-2) :479-491
[2]   Re-circulating heat pump assisted continuous bed drying and energy analysis [J].
Adapa, PK ;
Schoenau, GJ .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2005, 29 (11) :961-972
[3]  
Agarry S. E., 2013, Nigerian Journal of Basic and Applied Sciences, V21, P1
[4]  
Aghbashlo M, 2009, INT AGROPHYS, V23, P313
[5]   Determination of drying kinetics and convective heat transfer coefficients of ginger slices [J].
Akpinar, Ebru Kavak ;
Toraman, Seda .
HEAT AND MASS TRANSFER, 2016, 52 (10) :2271-2281
[6]  
Aktas M, 2013, J FAC ENG ARCHIT GAZ, V28, P733
[7]   Drying of Tomato in a Photovoltaic and Thermal Solar-Powered Continuous Dryer [J].
Aktas, Mustafa ;
Sevik, Seyfi ;
Dogan, Hikmet ;
Ozturk, Mujdat .
JOURNAL OF AGRICULTURAL SCIENCES-TARIM BILIMLERI DERGISI, 2012, 18 (04) :287-298
[8]   Determination of drying characteristics of apples in a heat pump and solar dryer [J].
Aktas, Mustafa ;
Ceylan, Ilhan ;
Yilmaz, Sezayi .
DESALINATION, 2009, 239 (1-3) :266-275
[9]   Solar drying of pineapple using solar tunnel drier [J].
Bala, BK ;
Mondol, MRA ;
Biswas, BK ;
Chowdury, BLD ;
Janjai, S .
RENEWABLE ENERGY, 2003, 28 (02) :183-190
[10]  
Ceylan Ilhan, 2009, Engineering, V1, P188, DOI 10.4236/eng.2009.13022