Yazar "Uyar, Rahmi" seçeneğine göre listele

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    A computational approach for infrared heating with experimental validation: Surface decontamination process in industrial scale
    (Institution of Chemical Engineers, 2025) Erdaş, Ayşe Hümeyra; Karataş, Ozan; Uyar, Rahmi; Erdoğdu, Ferruh
    Infrared (IR) processing offers advantages for food processing, and this application is important to revolutionize the food processing for the new era in the industry 5.0. The shorter penetration depth (compared to the microwave and radio frequency processing) limits its application to surface heating, and industrial design of such systems has challenges with the requirement of a computational model. Therefore, the objectives of this study were to develop a computational model and demonstrate the process effects for surface decontamination in an industrial scale system. For this purpose, a computational model was developed and experimentally validated using an aluminum cylinder object and fig samples. Model application for surface decontamination process of figs (for inactivation of Cladosporium spp. and B. cinerea) was demonstrated, and the validated model was used for designing an industrial scale process design. Further research on design and optimization for various processing operations could increase the applicability and effectiveness in industrial scale processes.
  • Küçük Resim
    Öğe
    Honey De-crystallization by radio frequency heating for process efficiency: Computational monitoring combined with time domain nuclear magnetic resonance
    (Elsevier Ltd, 2023) Karataş, Ozan; Uyar, Rahmi; Berk, Berkay; Öztop, H. Mecit; Marra, Francesco; Erdoğdu, Ferruh
    Industrial de-crystallization of honey is carried out by using hot water or air at 60 °C or higher temperatures with the cost of energy and longer process times. The objectives of this study were to apply RF processing for de-crystallization and monitor this process with time-domain nuclear magnetic resonance (TD-NMR) data and a computational model. For this purpose, crystallized honey samples were processed in a 10 kW - 27.12 MHz free-running oscillator RF system, and experimental temperature data were used to validate the developed computational model. TD-NMR experiments were performed to monitor the de-crystallization, and the obtained kinetics data were coupled with temperature increase to compute the crystal content changes through the process. The RF de-crystallization led to a significant decrease (>70% compared to the conventional processes) in process time for industrial scale processing demonstrating its sustainability.