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Modeling moisture diffusivity, activation energy and specific energy consumption of squash seeds in a semi fluidized and fluidized bed drying

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Abstract

This study investigated thin layer drying of squash seeds under semi fluidized and fluidized bed conditions with initial moisture content about 83.99% (d.b.). An experimental fluidized bed dryer was also used in this study. Air temperature levels of 50, 60, 70 and 80 °C were applied in drying samples. To estimate the drying kinetic of squash seed, seven mathematical models were used to fit the experimental data of thin layer drying. Among the applied models, Two-term model has the best performance to estimate the thin layer drying behavior of the squash seeds. Fick’s second law in diffusion was used to determine the effective moisture diffusivity of squash seeds. The range of calculated values of effective moisture diffusivity for drying experiments were between 0.160 × 10−9 and 0.551 × 10−10 m2/s. Moisture diffusivity values decreased as the input air temperature decreased. Activation energy values were found to be between 31.94 and 34.49 kJ/mol for 50 °C to 80 °C, respectively. The specific energy consumption for squash seeds was calculated at the boundary of 0.783 × 106 and 2.303 × 106 kJ/kg. Increasing in drying air temperature in different bed conditions led to decrease in specific energy value. Results showed that applying the semi fluidized bed condition is more effective for convective drying of squash seeds. The aforesaid drying characteristics are useful to select the best operational point of fluidized bed dryer and to precise design of system.

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Abbreviations

C Pv :

Specific heat capacity of vapor (1004.16 J/kg °C)

C Pa :

Specific heat capacity of air (1828.8 J/kg °C)

D 0 :

Pre-exponential factor of the Arrhenius equation (m2/s)

D eff :

Effective moisture diffusivity (m2/s)

E a :

Activation Energy (kJ/mol)

h a :

Absolute air humidity (kgvapor/kgdry air)

i:

Data number

L :

Thickness, m

m v :

Mass of removal water (kg)

M :

Moisture content (% d.b.)

M 0 :

Initial moisture content (% d.b.)

M e :

Equilibrium moisture content (% d.b.)

MR :

Moisture ratio (decimal)

MR exp,i :

Experimental moisture ratio of ith data (decimal)

MR pre,i :

Predicted moisture ratio of ith data (decimal)

n:

Number of terms taken into consideration

N :

Number of observations

Q :

Inlet air to drying chamber (m3/s)

R :

Universal gas constant (8.3143 kJ/mol K)

RMSE :

Root mean square error

R 2 :

Correlation coefficient

SEC :

Specific energy consumption (kJ/kg)

t:

Drying time (s)

T :

Absolute air temperature (K)

T in :

Inlet air temperature to drying chamber (°C)

T am :

Ambient air temperatures (°C)

V h :

Specific air volume (m3/kg)

z :

Number of drying constants

χ 2 :

Chi-square

References

  • Aghbashlo M, Kianmehr MH, Samimi-Akhijahani H (2008) Influence of drying conditions on the effective moisture diffusivity, energy of activation and energy consumption during the thin-layer drying of berberis fruit (Berberidaceae). Energy Convers Manag 49:2865–2871

    Article  CAS  Google Scholar 

  • Aghbashlo M, Kianmehr MH, Khani S, Ghasemi M (2009) Mathematical modeling of thin-layer drying of carrot. Int Agrophys 23:313–317

    Google Scholar 

  • Akpinar EK (2010) Drying of mint leaves in a solar dryer and under open sun: modeling, performance analyses. Energy Convers Manag 51:2407–2418

    Article  Google Scholar 

  • Aktas M, Ceylan I, Yilmaz S (2009) Determination of drying characteristics of apples in a heat pump and solar dryer. Desalination 239:266–275

    Article  CAS  Google Scholar 

  • Alibas I (2007) Microwave, air and combined microwave-air-drying parameters of pumpkin slices. LWT 40(8):1445–1451

    Article  CAS  Google Scholar 

  • Amiri Chayjan R, Khosh Taghaza MH, Montazer GH, Minaee S, Alizadeh MR (2009) Estimation of head rice yield using artificial neural networks for fluidized bed drying of rough rice. J Agric Sci Technol Nat Resour 13(48):285–299 (in Farsi)

    Google Scholar 

  • Amiri Chayjan R, Amiri Parian J, Esna-Ashari M (2011) Modeling of moisture diffusivity, activation energy and specific energy consumption of high moisture corn in a fixed and fluidized bed convective dryer. Span J Agric Res 9(1):28–40

    Google Scholar 

  • AOAC (1990) Official methods of analysis, 15th edn. Association of Official Analytical Chemists, Washington DC

    Google Scholar 

  • Arabhosseini A, Huisman W, Van Boxtel A, Muller J (2009) Modeling of thin layer drying of tarragon (Artemisia dracunculus L.). Indust crops products 29:53–59

    Article  CAS  Google Scholar 

  • Arumuganathan T, Manikantan MR, Rai RD, Anandakumar S, Khare V (2009) Mathematical modeling of drying kinetics of milky mushroom in a fluidized bed dryer. Int Agrophys 23:1–7

    Google Scholar 

  • Asgary S, Kazemi S, Moshtaghian SJ, Rafieian M, Bahrami M, Adelnia A (2010) The protective effect of Cucurbita pepo L. on liver damage in alloxan- induced diabetic rats. J Shahrekord Univ Med Sci 11(4):59–65 (in Farsi)

    Google Scholar 

  • Babalis SJ, Belessiotis VG (2004) Influence of drying conditions on the drying constants and moisture diffusivity during the thin-layer drying of figs. J Food Eng 65:449–458

    Article  Google Scholar 

  • Demir V, Gunhan T, Yagcioglu AK, Degirmencioglu A (2004) Mathematical modeling and the determination of some quality parameters of air-dried bay leaves. Biosystems Eng 88:325–335

    Article  Google Scholar 

  • Doymaz I (2004) Effect of pre-treatments using potassium metabisulphite and alkaline ethyl oleate on the drying kinetics of apricots. Biosystems Eng 89:281–287

    Article  Google Scholar 

  • Doymaz I (2007) The kinetics of forced convective air-drying of pumpkin slices. J Food Eng 79:243–248

    Article  Google Scholar 

  • Dutta D, Dutta A, Raychaudhuri U, Chakraborty R (2006) Rheological characteristics and thermal degradation kinetics of beta-carotene in pumpkin puree. J Food Eng 76:538–546

    Article  CAS  Google Scholar 

  • Erenturk S, Erenturk K (2007) Comparison of genetic algorithm and neural network approaches for the drying process of carrot. J Food Eng 78:905–912

    Article  Google Scholar 

  • Erenturk S, Gulaboglu MS, Gultekin S (2004) The thin layer drying characteristics of rosehip. Biosystems Eng 89:159–166

    Article  Google Scholar 

  • Gazor HR (2009) Modeling drying kinetics of canola in fluidized bed dryer. Iran J Biosyst Eng 40(2):175–184 (in Farsi)

    Google Scholar 

  • Goyal RK, Kingsly ARP, Manikantan MR, Ilyas SM (2007) Mathematical modeling of thin layer drying kinetics of plum in a tunnel dryer. J Food Eng 79:176–180

    Article  Google Scholar 

  • Hashemi G, Mowla D, Kazemeini M (2009) Moisture diffusivity and shrinkage of broad beans during bulk drying in an inert medium fluidized bed dryer assisted by dielectric heating. J Food Eng 92:331–338

    Article  Google Scholar 

  • Kaleta A, Górnicki K (2010) Some remarks on evaluation of drying models of red beet particles. Energy Convers Manag 51:2967–2978

    Article  Google Scholar 

  • Khoshtaghaza MH, Sadeghi M, Amiri Chayjan R (2007) Study of rough rice drying process in fixed and fluidized bed conditions. J Agric Sci Nat Res 14(2):127–137 (in Farsi)

    Google Scholar 

  • Kingsly ARP, Goyal RK, Manikantan MR, Ilyas SM (2007) Effects of pretreatments and drying air temperature on drying behaviour of peach slice. Int J Food Sci Technol 42:65–69

    Article  CAS  Google Scholar 

  • Koyuncu T, Pinar Y, Lule F (2007) Convective drying characteristics of azarole red (Crataegus monogyna Jacq.) and yellow (Crataegus aronia Bosc.) fruits. J Food Eng 78:1471–1475

    Article  Google Scholar 

  • Krokida MK, Karathanos VT, Maroulis ZB (2003) Drying kinetics of some vegetables. J Food Eng 59:391–403

    Article  Google Scholar 

  • Kunii D, Levenspiel O (1991) Fluidization engineering. Butterworth-Heinemann, Stoneham, USA

    Google Scholar 

  • Mashtany SS, Gharachorloob M, Delkhoshc B (2009) Physicochemical evaluation of oil extracted from different varieties of Iranian pumpkin seeds. Food Technol Nutr 7(4):57–66 (in Farsi)

    Google Scholar 

  • Midilli A, Kucuk H, Yapar Z (2002) A new model for single-layer drying. Dry Technol 20:1503–1513

    Article  Google Scholar 

  • Pala M, Mahmutoglu T, Saygi B (1996) Effects of pretreatments on the quality of open-air and solar dried products. Food 40:137–141

    CAS  Google Scholar 

  • Sacilik K (2007) Effect of drying methods on thin-layer drying characteristics of hull-less seed pumpkin (Cucurbita pepo L.). J Food Eng 79:23–30

    Article  Google Scholar 

  • Sito S, Barčić J, Ivančan S (1999) Effect of different airflow speeds upon the duration of the drying process of high moisture pumpkin seeds after washing. Agric Cons Sci 64(2):131–136

    Google Scholar 

  • Soponronnarit S, Pongtornkulpanich A, Prachayawarakorn S (1997) Drying characteristics of corn in fluidized bed dryer. Drying Technol 15(5):1603–1615

    Article  CAS  Google Scholar 

  • Souraki BA, Mowla D (2007) Axial and radial moisture diffusivity in cylindrical fresh green beans in a fluidized bed dryer with energy carrier: modeling with and without shrinkage. J Food Eng 88:9–19

    Article  Google Scholar 

  • Standard USDA (2002) US standard for nutritive value of foods. Agricultural Marketing Service, Washington DC

    Google Scholar 

  • Uribe E, Vega-Gálvez A, Di Scala K, Oyanadel R, Torrico JS, Miranda M (2009) Characteristics of convective drying of pepino fruit (Solanum muricatum Ait.): application of Weibull distribution. Food Bioprocess Technol. doi:10.1007/s11947-009-0230-y

    Google Scholar 

  • Zhang Q, Yang SX, Mittal GS, Yi S (2002) Prediction of performance indices and optimal parameters of rough rice drying using neural network. Biosystems Eng 83(3):281–290

    Article  Google Scholar 

Download references

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Correspondence to Reza Amiri Chayjan.

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Chayjan, R.A., Salari, K., Abedi, Q. et al. Modeling moisture diffusivity, activation energy and specific energy consumption of squash seeds in a semi fluidized and fluidized bed drying. J Food Sci Technol 50, 667–677 (2013). https://doi.org/10.1007/s13197-011-0399-8

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  • DOI: https://doi.org/10.1007/s13197-011-0399-8

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