EN
Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions
Abstract
In recent years tomatoes have been peeled using steam and lye. Both are costlier, less environmentally friendly and highly polluting techniques. Thus, more sustainable alternatives should be sought after. Among these alternatives is radiative heating. To appropriately design the system for dry peeling, several typical operational characteristics of the process in issue must be estimated. The analytical model presented allows estimates to be made through closed-form relationships between the parameters involved. The analysis is based on the use of an appropriate theoretical model, which facilitates the solution to the proposed problems. Through the approximate solution of the analytical problem, we will analyse: the angular speed Ω, the temperature fluctuations ΔT0, the process time tc. These estimates are then used to derive a specific model for a control of process. The temperature profile (through an approximate solution) associated with the process that provides the optimum peel quality was utilized as a guide for the regulation system. A control system used the code to extract a specific temperature, and based on surface tomato temperature readings, controlled a brushless motor using a logic strategy. The regulating system can adjust the rotation speed, and hence the heating intensity, even under less than perfect operating conditions in order to obtain the appropriate profile temperature. The controlled temperature profile yielded an average temperature of 66.3°C, while the reference case yielded a temperature of 67°C. Additionally, it was found that the temperature inaccuracy decreased with each rotation, ranging from 2.5 °C at 2π to 0.3 °C at 16π. As a result, the peeling procedure is standardized in time, temperature, and quality.
Keywords
References
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Details
Primary Language
English
Subjects
Thermodynamics and Statistical Physics
Journal Section
Research Article
Authors
Early Pub Date
May 22, 2023
Publication Date
June 1, 2023
Submission Date
December 27, 2022
Acceptance Date
May 15, 2023
Published in Issue
Year 2023 Volume: 26 Number: 2
APA
Metallo, A. (2023). Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions. International Journal of Thermodynamics, 26(2), 78-87. https://doi.org/10.5541/ijot.1225294
AMA
1.Metallo A. Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions. International Journal of Thermodynamics. 2023;26(2):78-87. doi:10.5541/ijot.1225294
Chicago
Metallo, Antonio. 2023. “Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions”. International Journal of Thermodynamics 26 (2): 78-87. https://doi.org/10.5541/ijot.1225294.
EndNote
Metallo A (June 1, 2023) Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions. International Journal of Thermodynamics 26 2 78–87.
IEEE
[1]A. Metallo, “Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions”, International Journal of Thermodynamics, vol. 26, no. 2, pp. 78–87, June 2023, doi: 10.5541/ijot.1225294.
ISNAD
Metallo, Antonio. “Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions”. International Journal of Thermodynamics 26/2 (June 1, 2023): 78-87. https://doi.org/10.5541/ijot.1225294.
JAMA
1.Metallo A. Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions. International Journal of Thermodynamics. 2023;26:78–87.
MLA
Metallo, Antonio. “Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions”. International Journal of Thermodynamics, vol. 26, no. 2, June 2023, pp. 78-87, doi:10.5541/ijot.1225294.
Vancouver
1.Antonio Metallo. Optimization of a Dry Peeling System for Tomatoes Using Approximate Solutions. International Journal of Thermodynamics. 2023 Jun. 1;26(2):78-87. doi:10.5541/ijot.1225294
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