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Walter Schroeder Library, Milwaukee School of Engineering
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Reiser, Kyle, author.
Kumpaty, Dr. Subha
Shimek, Gary
Rose, Michael T., committee member
Bonneau, William J., committee member
Milwaukee School of Engineering
Subjects
Electric transformers -- Thermal properties -- Mathematical models
Heat -- Transmission
MSE Project.
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by author:
Reiser, Kyle, author.
Kumpaty, Dr. Subha
Shimek, Gary
Rose, Michael T., committee member
Bonneau, William J., committee member
Milwaukee School of Engineering
by title:
Thermal modeling tec...
MARC Display
Thermal modeling technique for high frequency transformers : 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 Kyle Reiser.
by
Reiser, Kyle, author.
, Kumpaty, Dr. Subha
, Shimek, Gary
, Rose, Michael T., committee member
, Bonneau, William J., committee member
, Milwaukee School of Engineering
[Milwaukee School of Engineering], [2017]
Subjects
Electric transformers -- Thermal properties -- Mathematical models
Heat -- Transmission
MSE Project.
Description:
87 leaves : illustrations, some of which are in color ; 29 cm
Contents:
Introduction -- Background -- Review of literature -- Methods -- Results and discussion -- Recommendations -- Additional recommendations -- Conclusion -- References.
The purpose of this document is to describe a capstone project for the Milwaukee School of Engineering's (MSOE) Master of Science in Engineering program. The goal of this project was to produce a thermal modeling technique for high-power, high-frequency transformers, such as those used in gradient driver power supplies for Magnetic Resonance Imaging (MRI) scanners.
Analysis tools such as computational fluid dynamics (CFD), and finite element analysis (FEA) were used to develop both a three-dimensional steady-state thermal model as well as a two-dimensional thermal model, which was used to tune the three-dimensional model. Optimization techniques were used to fit the two-dimensional model to the three-dimensional model. Thermal measurement data were collected from physical transformers and used to tune the model parameters and verify the validity of the modeling technique. It was determined that the measurement techniques employed were susceptible to noise and require further study. In addition, it was determined that the input assumption of transformer losses may have been incorrect and requires more understanding. The value of this modeling technique is to allow the design engineer to predict the thermal margin on a given transformer design, which ultimately will drive the reliability of the product. If the inputs are correct, then this technique should be able to achieve that goal.
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Walter Schroeder Library
Master's Theses
AC805 .R445 2017
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