An efficient correlation for heat and mass transfer effectiveness in tumble-type clothes dryer drums

Kyle R. Gluesenkamp, Philip Boudreaux, Viral K. Patel, Dakota Goodman, Bo Shen

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

A heat and mass transfer effectiveness definition relevant to clothes dryers is developed in this work. A correlation is presented for determining the effectiveness of heat and mass transfer in a horizontal-axis, tumble-type clothes dryer drum with axial airflow. The correlation is a function of four measurable quantities: air mass flow rate, cloth mass, air mass in the drum, and the fall time experienced by a cloth falling the full height (i.e. diameter) of the drum. The Buckingham Pi Theorem is applied to the problem in order to derive dimensionless terms upon which the effectiveness depends. Empirical data from several dryers are used to derive an empirical correlation as a function of the dimensionless variables. Three cloth types were investigated, and a separate empirical correlation is proposed for each. Together, the drum effectiveness concept and the correlation presented provide a new, more accurate, computationally efficient, and readily implemented framework for modeling and simulating clothes dryers. It is relevant to conventional gas and electric clothes drying appliances, vapor compression heat pump dryers, and thermoelectric heat pump clothes dryers. With appropriate empirical inputs, the framework is extensible to any thermal-evaporative cloth drying systems, including radial-flow horizontal axis tumble drying drums.

Original languageEnglish
Pages (from-to)1225-1242
Number of pages18
JournalEnergy
Volume172
DOIs
StatePublished - Apr 1 2019

Funding

The authors thank Mr. Antonio Bouza, Technology Development Manager for HVAC, WH, and Appliances, Emerging Technologies Program, Buildings Technology Office at the U.S. Department of Energy for supporting this research. The authors also acknowledge Emily Kirkman for contributions to data processing, Matthew Weathers for discussions of the methodology to compute experimental effectiveness and its uncertainty, Tony Gehl for practical assistance in dryer measurements, Pradeep Bansal for facilitating effectiveness measurements on some models, and test operators Neal Durfee, Geoff Ormston, and Bradley Brown.

FundersFunder number
U.S. Department of Energy

    Keywords

    • Buckingham pi theorem
    • Clothes dryer
    • Dimensional analysis
    • Effectiveness
    • Heat and mass transfer
    • Lewis

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