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Item Information   Holdings       More by this author     Thrasher, Charity, author.     Milwaukee School of Engineering     Subjects     Heat exchangers     Ventilation     Fluid dynamics     Reduced-Order Modeling     Network Modeling     MSE Project.     Browse Catalog     by author:      Thrasher, Charity, author.      Milwaukee School of Engineering       by title:      Flow network modelin...         MARC Display

Flow network modeling of the GE magnetic resonance heat exchanger cabinet : a report submitted to the faculty of the Milwaukee School of Engineering in partial fulfillment of the requirements for the degree of Master of Science in Engineering / by Charity Thrasher. by Thrasher, Charity, author., Milwaukee School of Engineering Subjects Heat exchangers   Ventilation   Fluid dynamics   Reduced-Order Modeling   Network Modeling   MSE Project. Description:  68 leaves : illustrations, some of which are in color ; 29 cm. Contents:  Introduction, literature review, and elementary theories -- Flow model methodology -- Results and verification -- Appendix A. Moody diagram -- B. Pump specifications -- C. Equivalent length of various valves and fittings -- D. Hazen-Williams coefficients -- E. XGA pressure versus flow measurements -- F. Excel FNM. The objective of this capstone project was to develop a model which defines the flow distribution of the coolant in the General Electric (GE) Magnetic Resonance (MR) heat exchanger cabinet (HEC). This cabinet is essential in the cooling of the system's power electronics. The approach described in this paper utilized Flow Network Modeling (FNM) to analyze the system both quickly and accurately. The capstone presents the use of FNM, as proposed by G. Ellison, to perform a first order thermal analysis on MR liquid cooled power electronics. Ellison's method is used to predict system level pressure drops and coolant flow rates through power electronic cold plates in order to ensure adequate heat transfer occurs in the system. The impedance characteristics were calculated based on known relationships available in many handbooks. The analysis demonstrated the interaction of the pump curve and the flow impedances in order to predict the flow distribution of coolant throughout the entire system. Overall, a sustainable flow network model was created in Excel that describes and predicts the behavior of the MR cooling system. Results of the Ellison-based approach were compared to data taken from engineering bays with the same system configurations. Comparison of the two data sets shows that the results agree to within 15% of the measured data. Thus, the use of FNM as an aid in developing thermally feasible MR cooling systems is validated. The use of additional measured data could help to refine the model and to increase its accuracy. Therefore, this report recommends the use of the model - along with other methods such as Computational Fluid Dynamics - for the redesign and layout of a next-generation MR cooling system. Form:  text unmediated volume   Copy/Holding information Location Collection Call No. Status   Walter Schroeder Library Master's Theses AC805 .T47 2014 Available Add Copy to MyList Format: HTMLPlain textDelimited Subject:   Email to:

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