Determining the top electrode voltage in free-running oscillator radio frequency heating of soybeans under different electrode configurations

Qu, Yingtao; Lan, Ruange; Ramaswamy, Hosahalli S.; Wang, Shaojin

doi:10.1016/j.fbp.2020.05.011

Cited by 5 publications

(2 citation statements)

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“…The most important parameter for the model validation with experimental data was the potential of the charged electrode in addition to setting up the initial–boundary conditions with the thermophysical and dielectric properties data. As indicated in the literature, determination of the potential of the charged electrode in free running oscillator RF systems is not an easy task without interference with the electric field distribution (Qu et al., 2020). While various approaches were proposed with respect to recording the anode current (Zhu et al., 2014), trial and error methods were applied at a certain cost of computational time in the presence of a computational model.…”

Section: Resultsmentioning

confidence: 99%

“…Determining the potential of the charged electrode in the free oscillating RF systems is not an easy task, and the trial and error approach is one way to solve this problem. Recent studies reported in the literature indicated the significance of determining the potential of the charged electrode to better and improved control of the RF process (Qu et al., 2020, 2021; Wang et al., 2015). In addition to the potential of the upper electrode, average effective diffusion coefficient for 2019 and 2020 seasons was calculated to be 3.89 × 10 –9 m 2 /s from the experimental mass change data.…”

Section: Resultsmentioning

confidence: 99%

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Hot air‐assisted radio frequency drying of apricots: Mathematical modeling study for process design

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Göğüş

Özbek

et al. 2022

Journal of Food Science

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Conventional hot air and solar energy processes have been used for apricot. These processes had adverse effects on the quality due to the longer process times, and this indicates the need for an innovative approach. Radio frequency (RF) processing has innovation potential for drying with its volumetric heating feature, but an optimal process should be designed for process efficiency in industrial‐scale applications. Therefore, the objective of this study was to confirm the RF process for industrial‐scale apricot drying. For this purpose, a mathematical model was developed to predict temperature and moisture content change of apricots during drying, and experimental validation study was carried out. For the RF drying process, pre‐dried apricots (0.58–0.75 kg water/kg dry matter, db) by solar energy were used. The purpose was to start the RF process at a suitable moisture content level as this process was not feasible to apply directly due to the high initial moisture content of apricots (up to 4 kg water/kg dry matter, db). RF drying experiments were carried out in a 10 kW hot air‐assisted (50–60°C) staggered through electrode system. Optimum electrode gap was 81 mm with 2500 V potential of the charged electrode. Final moisture content of the dried apricots was 0.25–0.33 kg water/kg dry matter (db). Following the model validation for temperature and moisture content change, industrial‐scale apricot drying scenarios were demonstrated to confirm the RF process for feasibility and process design. Practical Application A comprehensive mathematical model was developed for radio frequency (RF) drying of apricots. This model was experimentally validated with respect to the temperature and moisture content change. Various process design studies were carried out for an industrial‐scale apricot drying process to confirm the process feasibility. With this background, the results of this study can be directly used in an industrial drying for an optimal process design and energy efficiency.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%