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Study of a Novel Nanocrystalline Material: Modeling the Scaling Effects of Toroidal Transformers Utilizing ANSYS Maxwell & Examining the Power Density of Induction Motors Utilizing ANSYS RMxprt

Scioscia Jr., Oreste (2014) Study of a Novel Nanocrystalline Material: Modeling the Scaling Effects of Toroidal Transformers Utilizing ANSYS Maxwell & Examining the Power Density of Induction Motors Utilizing ANSYS RMxprt. Master's Thesis, University of Pittsburgh. (Unpublished)

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Recent DOE reports convey the need for the advancement of soft magnetic materials for applications in high frequency, medium voltage, MW scale power electronics and grid integration technology. The soft magnetics used in these power electronics can occupy significant space, require extensive cooling, and limit designs. Operation at higher frequencies allows for reductions in converter size and weight. Nanocomposites combine the soft magnetic strengths of amorphous core materials with the more attractive saturation inductions of crystalline metals – a combination naturally well suited for high frequency converter applications.
Combinations of compositional additions and novel processing techniques have produced nanocomposites with permeability, μ>105, saturation induction, Bs>1.6T, resistivity, ρ>150μΩ-cm, thickness, t<15μm, temperature stability up to 300oC, and overall core losses less than 20W/kg at 10kHzT. The kHzT is a unit convention set by the Advanced Research Project Agency – Energy (ARPA-E).
The operation of power converters at higher frequencies is limited by increased losses in this regime, a trend accounted for by the Steinmetz Equation, (1), which relates the operating frequency, f, and saturation induction, B, to power loss.


In this equation the material dependent, empirically determined Steinmetz coefficients, α(~2) and β(~1-2), accounts for all core losses, in which hysteretic and anomalous and conventional eddy currents losses are predominant. Noncore winding losses and switching losses in the semiconductor components compound these core losses. The operating frequency of a transformer is determined by optimizing the size reductions while taking into account the increase in losses at higher frequencies.
This research focuses on the prediction of Steinmetz coefficients of nanocomposite-based magnetic materials, using ANSYS to simulate high frequency operation. Subsequently, this research investigates the scaling effects between bench top toroidal transformers of various sizes and geometries using simulation and experimental results. A study is also performed to analyze how nanocomposites can be used in induction motor stator cores to increase power density.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Scioscia Jr., Oresteovs4@pitt.eduOVS4
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairReed, Gergorygfr3@pitt.eduGFR3
Committee MemberMcDermott, Thomastem42@pitt.eduTEM42
Committee MemberMao, Zhi-Hongzhm4@pitt.eduZHM4
Date: 29 January 2014
Date Type: Publication
Defense Date: 5 November 2013
Approval Date: 29 January 2014
Submission Date: 5 November 2013
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 81
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical Engineering
Degree: MSEE - Master of Science in Electrical Engineering
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: ANSYS, Maxwell, RMxprt, Core, Loss, Transformer, Induction, Motor, Electric, Machines
Date Deposited: 29 Jan 2014 15:15
Last Modified: 15 Nov 2016 14:15


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