Literature DB >> 25892795

Mathematical modelling of thin layer hot air drying of apricot with combined heat and power dryer.

Saeed Faal1, Teymor Tavakoli1, Barat Ghobadian1.   

Abstract

In this study thermal energy of an engine was used to dry apricot. For this purpose, experiments were conducted on thin layer drying apricot with combined heat and power dryer, in a laboratory dryer. The drying experiments were carried out for four levels of engine output power (25 %, 50 %, 75 % and full load), producing temperatures of 50, 60, 70, and 80 ° C in drying chamber respectively. The air velocity in drying chamber was about 0.5 ± 0.05 m/s. Different mathematical models were evaluated to predict the behavior of apricot drying in a combined heat and power dryer. Conventional statistical equations namely modeling efficiency (EF), Root mean square error (RMSE) and chi-square (χ2) were also used to determine the most suitable model. Assessments indicated that the Logarithmic model considering the values of EF = 0.998746, χ 2 = 0.000120 and RMSE = 0.004772, shows the best treatment of drying apricot with combined heat and power dryer among eleven models were used in this study. The average values of effective diffusivity ranged 1.6260 × 10(-9) to 4.3612 × 10(-9) m2/s for drying apricot at air temperatures between 50 and 80 °C and at the air flow rate of 0.5 ± 0.05 m/s; the values of Deff increased with the increase of drying temperature the effective diffusivities in the second falling rate period were about eight times greater than that in the first falling rate period.

Entities:  

Keywords:  Apricot; Combined heat and power; Drying; Modeling

Year:  2014        PMID: 25892795      PMCID: PMC4397334          DOI: 10.1007/s13197-014-1331-9

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  8 in total

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Authors:  Navneet Kumar; B C Sarkar; H K Sharma
Journal:  J Food Sci Technol       Date:  2011-02-15       Impact factor: 2.701

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Journal:  J Food Sci Technol       Date:  2011-02-14       Impact factor: 2.701

4.  Validation of drying models and rehydration characteristics of betel (Piper betel L.) leaves.

Authors:  S Balasubramanian; R Sharma; R K Gupta; R T Patil
Journal:  J Food Sci Technol       Date:  2010-12-24       Impact factor: 2.701

5.  Mathematical modeling of drying of pretreated and untreated pumpkin.

Authors:  T Y Tunde-Akintunde; G O Ogunlakin
Journal:  J Food Sci Technol       Date:  2011-05-28       Impact factor: 2.701

6.  Microwave-vacuum drying of sour cherry: comparison of mathematical models and artificial neural networks.

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Journal:  J Food Sci Technol       Date:  2011-05-28       Impact factor: 2.701

7.  Thin-layer modeling of convective and microwave-convective drying of oyster mushroom (Pleurotus ostreatus).

Authors:  Mrittika Bhattacharya; Prem Prakash Srivastav; Hari Niwas Mishra
Journal:  J Food Sci Technol       Date:  2013-11-29       Impact factor: 2.701

8.  Hot air drying characteristics of mango ginger: Prediction of drying kinetics by mathematical modeling and artificial neural network.

Authors:  Thirupathihalli Pandurangappa Krishna Murthy; Balaraman Manohar
Journal:  J Food Sci Technol       Date:  2013-02-05       Impact factor: 2.701

  8 in total
  1 in total

1.  Assessment of Drying Kinetics, Textural and Aroma Attributes of Mentha haplocalyx Leaves during the Hot Air Thin-Layer Drying Process.

Authors:  Hui-Ling Guo; Ying Chen; Wei Xu; Meng-Tian Xu; Yong Sun; Xue-Cheng Wang; Xiao-Ya Wang; Jing Luo; Hua Zhang; Yao-Kun Xiong
Journal:  Foods       Date:  2022-03-08
  1 in total

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