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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The model fitted well theexperimental data (ADD varied between 2.35 and 7.48%).
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, Flaxseed oil was extracted by Supercritical Carbondioxide Extraction, and extrac- tion kinetics was modelled using diffusion controlled method.The effect of process parameters, such as pressure (20, 35, 55 MPa), temperature (323 and 343K), and CO2 flow rate (1 and 3 L CO2 /min) on the extraction yield and effective diffusivity (De) wasinvestigated.
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Key Findings & Data:The effective diffusion coefficient varied between 2.4 x10-12 and 10.8 x10-12 m2 s -1 for theentire range of experiments and increased with the pressure and flow rate.
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Conclusion & Impact:The model fitted well theexperimental data (ADD varied between 2.35 and 7.48%).
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this study, Flaxseed oil was extracted by Supercritical Carbondioxide Extraction, and extrac- tion kinetics was modelled using diffusion controlled method.The effect of process parameters, such as pressure (20, 35, 55 MPa), temperature (323 and 343K), and CO2 flow rate (1 and 3 L CO2 /min) on the extraction yield and effective diffusivity (De) wasinvestigated. The effective diffusion coefficient varied between 2.4 x10-12 and 10.8 x10-12 m2 s -1 for theentire range of experiments and increased with the pressure and flow rate. The model fitted well theexperimental data (ADD varied between 2.35 and 7.48%).
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Cite This Article
HOŞGÜN, E. Z., BOZAN, B. (2022). MODELING OF SUPERCRITICAL FLUID EXTRACTION KINETIC OF FLAXSEED OIL BY DIFFUSION CONTROL METHOD. Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik, Cilt: 14 - Sayı: 1, 39–45. https://ajindex.com/articles/438386