Numerical study on drying uniformity of bulk corn kernels during radio frequency-assisted hot air drying

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Numerical study on drying uniformity of bulk corn kernels during radio frequency-assisted hot air drying

Cited by 16 publications

References 39 publications

Prediction of the non-uniform drying of wet grain in a fluidised-bed based on a modified CFD-DEM drying model

Prediction of the non-uniform drying of wet grain in a fluidised-bed based on a modified CFD-DEM drying model

Study of heat and mass transfer during drying process of maize grain pile based on computed tomography

Improving the energy efficiency of industrial radio frequency heat treatment by optimizing electrode sizes and reversal cycles

Contact Info

Product

Resources

About