Marietta, Georgia
March 10, 2024
March 10, 2024
March 12, 2024
8
10.18260/1-2--45550
https://peer.asee.org/45550
66
David Calamas is an Associate Professor in the Department of Mechanical Engineering at Georgia Southern University. He received a BS in Mechanical Engineering from Clemson University and an MS and PhD in Mechanical Engineering from The University of Alabama.
The Nusselt number physically represents the enhancement in heat transfer through a fluid layer due to convection relative to conduction. However, the Nusselt number is often thought of as a dimensionless heat transfer coefficient in undergraduate heat transfer curricula. To obtain a value for the convection heat transfer coefficient, students must select an appropriate Nusselt number correlation. Unfortunately, in undergraduate heat transfer textbooks, as many as five Nusselt number correlations are presented for fully developed turbulent flows in smooth tubes. Furthermore, the Nusselt number correlations often have the same, or similar, Reynolds and Prandtl number criteria. Therefore, there may be more than one appropriate Nusselt number correlation for any given problem. An excess of appropriate Nusselt number correlations is problematic when evaluating student work in online learning management systems because numeric tolerances are often too small to account for variations in Nusselt numbers. For example, there is a 96.9 % difference between the minimum and maximum Nusselt numbers obtained for a Reynolds number of 1E6 and a Prandtl number of 100. So, it is possible for a student to both choose an appropriate correlation and be marked as incorrect due to the numeric tolerance of the online learning management system.
Calamas, D. (2024, March), Numeric Tolerances in Online Learning Management Platforms: A Case Study in Heat Transfer Paper presented at 2024 South East Section Meeting, Marietta, Georgia. 10.18260/1-2--45550
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