scholarly journals Data on the configuration design of internet-connected home cooling systems by engineering students

Data in Brief ◽  
2017 ◽  
Vol 14 ◽  
pp. 773-776 ◽  
Author(s):  
Christopher McComb ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky
2018 ◽  
Author(s):  
Christopher McComb ◽  
Jonathan Cagan ◽  
Kenneth Kotovsky

This experiment was carried out to record the step-by-step actions that humans take in solving a configuration design problem, either in small teams or individually. Specifically, study participants were tasked with configuring an internet-connected system of products to maintain temperature within a home, subject to cost constraints. Every participant was given access to a computer-based design interface that allowed them to construct and assess solutions. The interface was also used to record the data that is presented here. In total, data was collected for 68 participants, and each participant was allowed to perform 50 design actions in solving the configuration design problem. Major results based on the data presented here have been reported separately, including initial behavioral analysis and design pattern assessments via Markovian modeling.


Author(s):  
A. Dolatbadi ◽  
R. Dhiman ◽  
S. Chandra

Third year undergraduate mechanical engineering students at the University of Toronto take a one-semester course in heat and mass transfer that is taught as a course in design of electronic cooling systems, combining theory with design and experiments. At the start of the course students are introduced to heat transfer problems faced by the electronics industry and cooling technologies. Heat transfer theory is then presented by analyzing electronic cooling systems. A combined numerical and experimental project is given to design a cooling system for an electronic instrument. Students are given a kit that includes a circuit board, heat sinks and a cooling fan. Components generating heat are represented by square aluminum plates clamped around thin heaters that can be placed anywhere on the circuit board. Students write a computer code to solve heat transfer equations and predict temperature distributions in the circuit board. The accuracy of these predictions is verified by experimental measurements. Results are submitted in the form of a report written from the perspective of a thermal design engineer working in a company that manufactures electronic equipment.


1983 ◽  
Vol 15 (4) ◽  
pp. 267-273 ◽  
Author(s):  
Ronald G. Taylor ◽  
Robert D. Whetstone
Keyword(s):  

1976 ◽  
Vol 8 (4) ◽  
pp. 245-251 ◽  
Author(s):  
Earl Nolting ◽  
Ronald G. Taylor

Author(s):  
Lisa Y. Flores ◽  
Rachel L. Navarro ◽  
Hang-Shim Lee ◽  
Laura Luna

2013 ◽  
Vol 44 (1) ◽  
pp. 39-54
Author(s):  
A. Wehlmann ◽  
W. Hater ◽  
F. Wolf ◽  
R. Lunkenheimer ◽  
C. Foret ◽  
...  

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