Mathematical modelling of drying of bay leaves
By Tuncay Günhan, V. Demir, Ebru Hancioğlu, Arif Hepbasli. 2005
272 citations recorded by the source corpus.
Subfields: Food Science, Mechanics of Materials, Plant Science
View Paper: https://www.semanticscholar.org/paper/ed13387bb2e21482b0f46bb613ed5ad53b373018
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In Food Science
In Mechanics of Materials
In Plant Science
Citations in the corpus
- Modeling of thin-layer drying kinetics of sesame seeds : mathematical and neural networks modeling (2007, methodology): “These models have been widely used to model drying of different agricultural products (Akpinar et al., 2006; Gunhan et al., 2005; Midilli and Kucuk, 2003; Togrul and Pehlivan, 2004; Yaldiz and Ertekin, 2001).”
- Mathematical modelling and experimental investigation on sun and solar drying of white mulberry (2008, methodology): “For mathematical modelling, the thin layer drying equations in Table 1 were tested to select the best model for describing the drying curve equation of mulberry during drying process by solar dryer and open sun [4, 6-10, 12-14].”
- Mathematical modelling of the drying kinetics of Jatropha curcas L. seeds (2019, methodology): “(Gunhan et al., 2005), the RMSE provides information on the short-term performance and its value is always positive while MBE gives information on the long-term performance of the correlations by comparing the actual deviation between predicted and experimental values term by term.”
- Mathematical Modeling and Experimental Study on Thin-Layer Vacuum Drying of Ginger (Zingiber Officinale R.) Slices (2012, background): “The higher the values of the R, and lowest values of the χ(2) and RMSE, the better the goodness of the fit (Yaldiz and Ertekin 2001; Gunhan et al. 2005).”