TY - GEN
T1 - Identification of Factor Significance in a Water Cooling Pipe Section using ANSYS CFD through a Full Factorial Design of Experiment
AU - Carandang, Vince William
AU - Ubando, Aristotle T.
AU - Culaba, Alvin B.
N1 - Funding Information:
The first author would like to acknowledge the Engineering Research and Development for Technology (ERDT) Consortium and the Department of Science and Technology – Science Education Institute (DOST-SEI) for supporting the author’s academic endeavor to pursue his Master of Science in Mechanical Engineering degree.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Solar cooling systems have potential in the Philippines due to its favorable solar renewable resource based on the data gathered by reputable organizations. Involved in solar cooling systems are water cooling systems for the solar photovoltaic cell panels and collectors which consists of networks of pipes. This study simulated a water cooling system pipe section using ANSYS computational fluid dynamics (CFD) by manipulating the cooling water mass inlet flow rate and the pipe wall temperature to identify their significance in influencing the outlet water temperature. Using a 2k full factorial approach for the design of experiment, the data were analyzed in JMP Pro 11 through an analysis of variance. It was identified that only the cooling water mass inlet flow rate is the only significant factor in the study, and its influence to the outlet water temperature was identified through the equation generated using the parameter estimates function in JMP Pro 11.
AB - Solar cooling systems have potential in the Philippines due to its favorable solar renewable resource based on the data gathered by reputable organizations. Involved in solar cooling systems are water cooling systems for the solar photovoltaic cell panels and collectors which consists of networks of pipes. This study simulated a water cooling system pipe section using ANSYS computational fluid dynamics (CFD) by manipulating the cooling water mass inlet flow rate and the pipe wall temperature to identify their significance in influencing the outlet water temperature. Using a 2k full factorial approach for the design of experiment, the data were analyzed in JMP Pro 11 through an analysis of variance. It was identified that only the cooling water mass inlet flow rate is the only significant factor in the study, and its influence to the outlet water temperature was identified through the equation generated using the parameter estimates function in JMP Pro 11.
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U2 - 10.1109/HNICEM48295.2019.9072847
DO - 10.1109/HNICEM48295.2019.9072847
M3 - Conference contribution
AN - SCOPUS:85084755777
T3 - 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
BT - 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019
Y2 - 29 November 2019 through 1 December 2019
ER -