Mathematical Modeling of Thin Layer Drying of Salted Yellowtail Fish Under Open Sun and in Greenhouse Dryer

Pujianto, Andreas; Sidhi, Sigit Deddy P.; Nurfauzi, A.

doi:10.18551/rjoas.2019-07.46

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RJOAS

2019

DOI: 10.18551/rjoas.2019-07.46

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Mathematical Modeling of Thin Layer Drying of Salted Yellowtail Fish Under Open Sun and in Greenhouse Dryer

Andreas Pujianto¹,

Sigit Deddy P. Sidhi²,

A. Nurfauzi³

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Cited by 3 publications

References 36 publications

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Kinetic analysis, mathematical modeling and quality evaluation of mint drying in greenhouse solar dryer

Daliran,

Taki,

Marzban

et al. 2023

Thermal Science and Engineering Progress

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Kinetic analysis, mathematical modeling and quality evaluation of mint drying in greenhouse solar dryer

Daliran,

Taki,

Marzban

et al. 2023

Thermal Science and Engineering Progress

View full text Add to dashboard Cite

Mathematical Modelling of Stingless Bee Honey Dewatering using Low-Temperature Vacuum Drying with Induced Nucleation Bubbling

Ramli,

Halim,

Halim

et al. 2024

J. Phys.: Conf. Ser.

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Low-temperature vacuum drying with induced nucleation boiling (LTVD-NB) was developed to dewater heat-sensitive materials such as stingless bee honey (SBH). However, its performance can be further optimised to achieve an efficient LTVD-NB operation. The objective of this paper is to investigate the most fitting drying model for dewatering SBH and to develop a suitable mathematical drying model that can be used to predict and optimise dewatering SBH using LTVD-NB. Established experimental data was used to develop the mathematical model. The data result showed that the logarithmic model had the best fit for drying SBH using LTVD-NB as compared to other models based on the highest value of R 2 and the lowest Root mean square, RMSE and reduced chi-square, χ 2 values which are 0.999988, 7.87E-05, and 1.41E-08, respectively. The model was further regressed to obtain an optimised mathematical model to better predict an LTVD-NB operation to dewater SBH. In conclusion, an optimised drying model to describe the dewatering process of SBH using the LTVD-NB method was able to be developed based on the multiple regression analysis of the obtained experimental data. Therefore, the drying model can predict the efficiency of this process just by giving the temperature and surface roughness values as input information.

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Desiccation of hemp seeds by high temperature micronization

Zverev

2021

Food systems

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In several cases, it is necessary to use heat treatment of cereal products to reduce moisture, inactivate some enzymes, increase storability and processing efficiency. One of the methods for heat treatment is high-temperature micronization — heating in a flow of infrared radiation. The method is convenient in the conditions of small and medium-sized enterprises. The aim of the study was to obtain the factual material regarding heating and desiccation of hemp seeds when heating in the flow of infrared radiation and modeling of the heating and desiccation processes. The experimental dependences of a seed temperature and moisture on heating time at different regimes of infrared heat treatment were obtained. Mathematical models were proposed for changes in a seed temperature as a function of time and moisture content depending on a seed temperature and the initial moisture. The desiccation models were based on simplified solutions of the system of differentiated equations of heat and mass transfer obtained by academician V. A. Lykov and his students. Model coefficients were identified by the results of the experiments. Analysis of the obtained coefficients shows that it is possible to use one coefficient in the examined models without a significant loss of the prognostic accuracy. The proposed models describe the experimental data quite well upon constant conditions of infrared heating of hemp seeds (irradiance and temperature in the treatment zone). However, heating conditions significantly affect the time dependence of the relative moisture (W/W0) and temperature increment ΔT(t). At the same time, it follows from the processing results and available experimental data that the character of the dependence W(ΔT) is determined by the initial moisture and is stable (that is, weakly depends on heating conditions).

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Mathematical Modeling of Thin Layer Drying of Salted Yellowtail Fish Under Open Sun and in Greenhouse Dryer

Cited by 3 publications

References 36 publications

Kinetic analysis, mathematical modeling and quality evaluation of mint drying in greenhouse solar dryer

Kinetic analysis, mathematical modeling and quality evaluation of mint drying in greenhouse solar dryer

Mathematical Modelling of Stingless Bee Honey Dewatering using Low-Temperature Vacuum Drying with Induced Nucleation Bubbling

Desiccation of hemp seeds by high temperature micronization

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