Combination of numerical simulation and RSM to study the process factors on orange slices shrinkage
Purpose: Selecting the most effective factors and their combination during food processing, is critical to reduce the energy consumption, the time of process and also maintaining the final product properties. Research method: A definitive screen design of response surface methodology was designed by...
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| Format: | Article |
| Language: | English |
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University of Birjand
2022-03-01
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| Series: | Journal of Horticulture and Postharvest Research |
| Subjects: | |
| Online Access: | https://jhpr.birjand.ac.ir/article_1973_a1f72a0593e9eeb30be2037c2c6d1635.pdf |
| _version_ | 1818206507155587072 |
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| author | Seyed Jafar Hashemi Azadeh Ranjbar Nedamani |
| author_facet | Seyed Jafar Hashemi Azadeh Ranjbar Nedamani |
| author_sort | Seyed Jafar Hashemi |
| collection | DOAJ |
| description | Purpose: Selecting the most effective factors and their combination during food processing, is critical to reduce the energy consumption, the time of process and also maintaining the final product properties. Research method: A definitive screen design of response surface methodology was designed by Design Expert software. Factors such as drying time (A: 20-60 ℃), air velocity (B: 0.5-2.5 m/s), sample thickness (C: 3-7 mm), sample diameter (D: 4-6 cm), and drying time (E: 6000-10000s) were investigated. The treatments from response surface methodology were simulated in COMSOL software 5.3a. The simulated data such as moisture content, moisture ratio, central temperature of sample, and total shrinkage were used as surface responses in Design-Expert in order to find the effective process factors on orange drying. Findings: Orange drying simulations show the air temperature and its interaction with other process factors is effective on central temperature of samples. The moisture rate and moisture content depends on sample thickness and drying time, the shrinkage was a linear model as a function of thickness and process time. In orange samples, at thickness of 0.5mm, diameter of 4.8 cm, and drying time of 7379s the least shrinkage will occur according to prediction models. Research limitations: Calculating the experimental shrinkage, moisture ratio, and moisture rate were the research limitation for further simulation. Originality/Value: Combination the response surface methodology and COMSOL simulation in order to reducing the number of studied treatments. Finding the effective factors and their interactions and also the prediction model for final dried orange characteristics. Finding the shrinkage model of orange fruit with respect to the studied drying process factors. |
| first_indexed | 2024-12-12T04:14:07Z |
| format | Article |
| id | doaj.art-0f8adabc4c0f4394a4df4d26c34e2a0b |
| institution | Directory Open Access Journal |
| issn | 2588-4883 2588-6169 |
| language | English |
| last_indexed | 2024-12-12T04:14:07Z |
| publishDate | 2022-03-01 |
| publisher | University of Birjand |
| record_format | Article |
| series | Journal of Horticulture and Postharvest Research |
| spelling | doaj.art-0f8adabc4c0f4394a4df4d26c34e2a0b2022-12-22T00:38:31ZengUniversity of BirjandJournal of Horticulture and Postharvest Research2588-48832588-61692022-03-015Issue 1 - March 2022536810.22077/jhpr.2021.4464.12251973Combination of numerical simulation and RSM to study the process factors on orange slices shrinkageSeyed Jafar Hashemi0Azadeh Ranjbar Nedamani1Biosystem Engineering Department, Sari Agricultural Sciences & Natural Resources University, POB: 578, IranBiosystem Engineering Department, Sari Agricultural Sciences & Natural Resources University, POB: 578, IranPurpose: Selecting the most effective factors and their combination during food processing, is critical to reduce the energy consumption, the time of process and also maintaining the final product properties. Research method: A definitive screen design of response surface methodology was designed by Design Expert software. Factors such as drying time (A: 20-60 ℃), air velocity (B: 0.5-2.5 m/s), sample thickness (C: 3-7 mm), sample diameter (D: 4-6 cm), and drying time (E: 6000-10000s) were investigated. The treatments from response surface methodology were simulated in COMSOL software 5.3a. The simulated data such as moisture content, moisture ratio, central temperature of sample, and total shrinkage were used as surface responses in Design-Expert in order to find the effective process factors on orange drying. Findings: Orange drying simulations show the air temperature and its interaction with other process factors is effective on central temperature of samples. The moisture rate and moisture content depends on sample thickness and drying time, the shrinkage was a linear model as a function of thickness and process time. In orange samples, at thickness of 0.5mm, diameter of 4.8 cm, and drying time of 7379s the least shrinkage will occur according to prediction models. Research limitations: Calculating the experimental shrinkage, moisture ratio, and moisture rate were the research limitation for further simulation. Originality/Value: Combination the response surface methodology and COMSOL simulation in order to reducing the number of studied treatments. Finding the effective factors and their interactions and also the prediction model for final dried orange characteristics. Finding the shrinkage model of orange fruit with respect to the studied drying process factors.https://jhpr.birjand.ac.ir/article_1973_a1f72a0593e9eeb30be2037c2c6d1635.pdfcfd simulationfruit shrinkagemodelingorange dryingresponse surface methodology |
| spellingShingle | Seyed Jafar Hashemi Azadeh Ranjbar Nedamani Combination of numerical simulation and RSM to study the process factors on orange slices shrinkage Journal of Horticulture and Postharvest Research cfd simulation fruit shrinkage modeling orange drying response surface methodology |
| title | Combination of numerical simulation and RSM to study the process factors on orange slices shrinkage |
| title_full | Combination of numerical simulation and RSM to study the process factors on orange slices shrinkage |
| title_fullStr | Combination of numerical simulation and RSM to study the process factors on orange slices shrinkage |
| title_full_unstemmed | Combination of numerical simulation and RSM to study the process factors on orange slices shrinkage |
| title_short | Combination of numerical simulation and RSM to study the process factors on orange slices shrinkage |
| title_sort | combination of numerical simulation and rsm to study the process factors on orange slices shrinkage |
| topic | cfd simulation fruit shrinkage modeling orange drying response surface methodology |
| url | https://jhpr.birjand.ac.ir/article_1973_a1f72a0593e9eeb30be2037c2c6d1635.pdf |
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