Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Chamra, Louay M.
Committee Member
Janus, J. Mark
Committee Member
Mago, Pedro
Committee Member
Walters, Keith
Committee Member
Hodge, B. Keith
Date of Degree
12-9-2006
Document Type
Dissertation - Open Access
Major
Mechanical Engineering
Degree Name
Doctor of Philosophy
College
James Worth Bagley College of Engineering
Department
Department of Mechanical Engineering
Abstract
The last few decades have seen a significant development of complex heat transfer enhancement geometries such as a helicallyinned tube. The arising problem is that as the fins become more complex, so does the prediction of their performance. In addition to discussing existing prediction tools, this dissertation demonstrates the successful use of artificial neural networks as a correlating method for experimentally- measured heat transfer and friction data of helicallyinned tubes.
URI
https://hdl.handle.net/11668/20315
Recommended Citation
Zdaniuk, Gregory J., "Heat Transfer and Friction in Helically-Finned Tubes using Artificial Neural Networks" (2006). Theses and Dissertations. 2477.
https://scholarsjunction.msstate.edu/td/2477