Publication Cover
Drying Technology
An International Journal
Volume 35, 2017 - Issue 4
596
Views
19
CrossRef citations to date
0
Altmetric
Original Articles

Pneumatic drying of cassava starch: Numerical analysis and guidelines for the design of efficient small-scale dryers

, , , &
Pages 393-408 | Published online: 31 Jan 2017
 

ABSTRACT

In a number of tropical countries, the expansion of cassava processing is tied to the development of small-scale, energy-efficient pneumatic dryers used to dry flour and starch. To facilitate this development, in this study a model of the pneumatic drying of starch particles was developed, to be fitted to measurements taken from large cassava processing factories. After that, numerical simulations were performed to analyze the effects of geometry and operating conditions on the energy efficiency and pipe length required to dry the product. The results clarified the influence of processing capacity, air inlet conditions, and starch particle size, emphasizing that air velocity as well as the dilution of the starch should be minimized. In light of the findings described here, we offer guidelines for the design of efficient small-capacity flash dryers.

Acknowledgments

We would like to thank members of the SEPO Research Group, and in particular, Pr Warinthorn Songkasiri and Dr Kanchana Saengchan from King Mongkut University of Technology in Thonburi, Thailand, for their helpful discussions about the results.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 760.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.