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

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

doi:10.1016/j.energy.2019.01.146

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

Journal Article · Wed Jan 30 00:00:00 EST 2019 · Energy (Oxford)

DOI:https://doi.org/10.1016/j.energy.2019.01.146· OSTI ID:1502570

^[1]; Boudreaux, Philip ^[1]; Patel, Viral K. ^[1]; Goodman, Dakota ^[2]; Shen, Bo ^[1]

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Univ. of Louisville, Louisville, KY (United States)

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. Accordingly, 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. Along with appropriate empirical inputs, the framework is extensible to any thermal-evaporative cloth drying systems, including radial-flow horizontal axis tumble drying drums.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1502570

Alternate ID(s):: OSTI ID: 1547804

Journal Information:: Energy (Oxford), Journal Name: Energy (Oxford) Journal Issue: C Vol. 172; ISSN 0360-5442

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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