Publication Cover
Drying Technology
An International Journal
Volume 26, 2008 - Issue 12
206
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Temperature-Controlled Infrared Drying Characteristics of Soils

Pages 1477-1483 | Published online: 16 Jun 2010
 

Abstract

Measurement of the moisture content of inorganic soils is frequently needed for many engineering activities. The standard test method by ASTM D2216 is very accurate, but the associated drying time up to 24 h is not always desirable. This study investigates the usability of infrared (IR) drying of inorganic soils in reducing the drying time under constant temperature. It was found that accuracy of the proposed IR oven method is excellent and the associated drying time is 80% less than that of a conventional convective oven. Drying time for zero plasticity soils such as sands was found to be about 1 min per gram of initial sample mass. Soil plasticity was found to increase the drying time up to 100% compared to that of zero plasticity soils.

ACKNOWLEDGEMENT

This work has been financially supported by TÜBİTAK of Turkey through project 106M231. Olcay Polat conducted most of the experiments. Erdinç Keskin and Cüneyt Yilmaz also helped with the experiments and with the data reduction. This support is greatly acknowledged.

Notes

NA = Not applicable.

∗ = Approximate values.Citation [11]

∗PI is determined on material passing through a no. 40 sieve (0.425 mm) according to ASTM D-2487.

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.