Core Losses in Co-Rich Inductors with Tunable Permeability

High frequency, low loss power systems enable electrified aircraft propulsion. Filter inductors that reduce noise in high current systems can account for 50% of the motor drive mass. Efficient inductor cores with tunable permeability reduce system mass by producing less heat, that removes heat sink mass. Requirements for filter inductors vary based on the chosen topology, but all inductor cores must operate below saturation levels. As the saturation flux density is limited (less than ~2 T), high differential current applications require cores with low relative permeabilities. The large induced anisotropies possible in Co-rich metal amorphous nanocomposite materials enables gapless inductors with relative permeabilities down to ~20. These materials have fine grain size ~8nm with a faulted, close packed structure. The impact of different processing methods on core losses are presented along with comparison to other low permeability soft magnetic materials

Advanced Magnetics for Power and Energy Development - A Multidisciplinary Consortium between the University of Pittsburgh, Carnegie Mellon University, and North Carolina State University

Emerging societal trends drive the need for advanced magnetic materials and power magnetic components including the electrification of domestic and military transportation; the emergence of solid state transformers as a practical and viable alternative to conventional transformers; increased penetration of renewables and other distributed energy resources which require power electronics converters and novel electric machines for grid integration. A historical gap in research and development funding for advanced power magnetics has created a severe shortfall in the necessary workforce required to support these quickly emerging areas within both nascent and established industries in the electric power sector. Since January 2020, faculty members in the engineering school having been establishing a consortium called Advanced Magnetics for Power and Energy Development (AMPED). The consortium will focus on magnetic materials development, manufacturing techniques, and their utilization in power electronic systems at medium frequency and medium power levels. Other AMPED university partners include North Carolina State University and Carnegie Mellon University. Faculty from the School of Engineering will lead this proposal effort with support from the Katz School of Business and School of Computing and Information Science. Faculty from the Katz School of Business will offer expertise in technology-to-market planning and competitive analysis, and faculty from the School of Computing and Information will aid in the development of novel algorithms for optimizing magnetics and power electronics technology like transformers, inductors, and electric motors given cost, weight, performance and volume constraints. The faculty received $60,000 to establish synergies through facilitated team collaborations, supporting graduate student stipends, and investing into laboratory space at the Energy GRID Institute. The first goal will be to submit concept papers followed by full proposals for attracting federal dollars from the DoE, DoD, or NSF. The second goal will be to attract$100,000 in company investment for AMPED through the membership model

Ultrashort Near-Infrared Fiber-Optic Sensors for Carbon Dioxide Detection

In this paper, we report a fiber-optic carbon dioxide (CO₂) near-infrared (IR) absorption sensor with only 8-cm sensing length that is coated with nanoporous metalorganic framework material Cu-BTC (BTC = benzene-1,3, 5-tricarboxylate). The multimode optical fiber was etched by hydrofluoric acid to remove the cladding and part of the core, resulting in larger evanescent field to sense the near-IR absorption induced by the adsorbed CO₂. The Cu-BTC thin film with 100 nm thickness was then grown onto the ethced core through a stepwise layer-by-layer method. Our real-time measurement results show that the CO₂ detection limit is better than 500 ppm and the overall response time is 40 s for absorption and 75 s for desorption. To the best of our knowledge, this is the shortest near-IR fiber-optic sensor for CO₂ detection at 1.57-μm wavelength.This is the publisher’s final pdf. The published article is copyrighted by Institute of Electrical and Electronics Engineers and can be found at: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361 ©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Keywords: Fiber optic sensor, metal-organic framework, near infrared absorption, gas senso

Plasmonics-enhanced metal–organic framework nanoporous films for highly sensitive near-infrared absorption

Combined plasmonic nanocrystals and metal–organic framework thin-films are fabricated for sensing gases in the near-infrared range. This nanocomposite thin-film shows a highly sensitive response in near-infrared absorption, which is attributed to preconcentration of gas molecules in metal–organic framework pores causing close proximity to the electromagnetic fields at the plasmonic nanocrystal surface

SAW Sensors for Chemical Vapors and Gases

Surface acoustic wave (SAW) technology provides a sensitive platform for sensing chemicals in gaseous and fluidic states with the inherent advantages of passive and wireless operation. In this review, we provide a general overview on the fundamental aspects and some major advances of Rayleigh wave-based SAW sensors in sensing chemicals in a gaseous phase. In particular, we review the progress in general understanding of the SAW chemical sensing mechanism, optimization of the sensor characteristics, and the development of the sensors operational at different conditions. Based on previous publications, we suggest some appropriate sensing approaches for particular applications and identify new opportunities and needs for additional research in this area moving into the future