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Institution

Michigan Technological University

EducationHoughton, Michigan, United States
About: Michigan Technological University is a education organization based out in Houghton, Michigan, United States. It is known for research contribution in the topics: Population & Volcano. The organization has 8023 authors who have published 17422 publications receiving 481780 citations. The organization is also known as: MTU & Michigan Tech.


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Journal ArticleDOI
TL;DR: In this article, a topologically correct hybrid transformer model for low and midfrequency transient simulations was developed for frequency up to 3-5 kHz, utilizing a duality-based lumped-parameter saturable core, matrix descriptions of leakage and capacitive effects, and frequency dependent coil resistance.
Abstract: A new topologically correct hybrid transformer model is developed for low and midfrequency transient simulations. Power transformers have a conceptually simple design, but behaviors can be very complex. The selection of the most suitable representation for a given behavior depends on the type of transformer to be simulated, the frequency range, and other factors, such as the internal design of the transformer and available parameters or design data. Here, a modular model suitable for frequencies up to 3-5 kHz is developed, utilizing a duality-based lumped-parameter saturable core, matrix descriptions of leakage and capacitive effects, and frequency-dependent coil resistance. Implementation and testing of this model was done for 15-kVA 208Delta-120Y 3-legged and 150-kVA 12,470Y-208Y 5-legged transformers. The basis and development of the model is presented, along with a discussion of necessary parameters and the approaches for obtaining them

126 citations

Journal ArticleDOI
Anushka Udara Abeysekara1, Juanan Aguilar2, S. Aguilar3, Ruben Alfaro3, Erick Almaraz3, C. Alvarez, J. de D. Álvarez-Romero, M. Álvarez3, R. Arceo, J. C. Arteaga-Velázquez, C. Badillo3, A. S. Barber4, B. M. Baughman5, N. Bautista-Elivar6, E. Belmont3, Erika Benítez3, Segev BenZvi2, D. Berley5, A. Bernal3, Emanuele Bonamente7, J. Braun5, R. A. Caballero-Lopez3, I. Cabrera3, A. Carraminana8, L. Carrasco8, M. Castillo9, L. Chambers10, Ruben Conde9, P. Condreay10, U. Cotti, J. Cotzomi9, Juan Carlos D'Olivo3, E. De la Fuente11, C. De León, S. Delay12, David Delepine13, Tyce DeYoung10, L. Diaz3, L. Diaz-Cruz9, Brenda Dingus14, Michael DuVernois2, D. Edmunds1, R. W. Ellsworth15, Brian Fick7, D. W. Fiorino2, Alberto Flandes3, Nissim Fraija3, A. Galindo8, J. L. García-Luna11, Guillermo Garcia-Torales11, F. Garfias3, Luis Xavier Gonzalez8, Maria Magdalena González3, J. A. Goodman5, V. Grabski3, M. Gussert16, C. Guzmán-Ceron3, Z. Hampel-Arias2, T. Harris17, E. Hays18, L. Hernandez-Cervantes3, P. Hüntemeyer7, A. Imran14, A. Iriarte3, J. J. Jimenez, P. Karn12, N. Kelley-Hoskins7, David Kieda, R. Langarica3, Alejandro Lara3, R. J. Lauer19, William H. Lee3, E. C. Linares, J. T. Linnemann1, M. Longo16, R. Luna-García20, H. Martinez21, J. Martínez3, L. A. Martínez3, O. Martinez9, J. Martínez-Castro20, M. Martos3, J. A. Matthews19, Julie McEnery18, G. Medina-Tanco3, J. E. Mendoza-Torres8, Pedro Miranda-Romagnoli22, Teresa Montaruli2, E. Moreno9, Miguel Mostafa, M. Napsuciale13, J. Nava8, Lukas Nellen3, M. Newbold4, R. Noriega-Papaqui22, T. Oceguera-Becerra11, A. Olmos Tapia8, V. Orozco3, V. Pérez3, E. G. Pérez-Pérez6, J. S. Perkins18, J. Pretz14, C. Ramirez9, I. Ramírez3, D. Rebello17, A. Rentería3, J. Reyes8, Daniel Rosa-Gonzalez8, A. Rosado9, James M. Ryan23, J. R. Sacahui3, Humberto Ibarguen Salazar9, F. Salesa16, A. Sandoval3, Elton J. G. Santos, Michael Schneider24, A. Shoup25, S. Silich8, G. Sinnis14, A. J. Smith5, K. Sparks10, W. Springer4, F. Suarez3, Noslen Suarez8, Ignacio Taboada17, A. F. Tellez9, Guillermo Tenorio-Tagle8, A. Tepe17, P. A. Toale26, Kirsten Tollefson1, I. Torres8, T. N. Ukwatta1, J. F. Valdés-Galicia3, P. Vanegas3, V. Vasileiou18, O. Vázquez3, X. Vázquez3, L. Villaseñor, W. Wall8, J. S. Walters8, D. Warner16, S. Westerhoff2, I. G. Wisher2, Joshua Wood5, G. B. Yodh12, D. Zaborov10, Arnulfo Zepeda21 
TL;DR: In this paper, the sensitivity of HAWC to Gamma Ray Bursts (GRBs) has been evaluated using two data acquisition (DAQ) systems: the main DAQ system reads out coincident signals in the tanks and reconstructs the direction and energy of individual atmospheric showers, and the scaler DAQ counts the hits in each photomultiplier tube (PMT) in the detector and searches for a statistical excess over the noise of all PMTs.

126 citations

Journal ArticleDOI
TL;DR: In this article, the effects of coupling agent's functional monomer (acrylic acid vs. maleic anhydride) and base resin (polyethylene (PE) vs. polypropylene (PP)) types on the tensile and flexural properties of high-density polyethylene-wood-flour composites were investigated using environmental scanning electron microscope.
Abstract: The performance of fiber reinforced thermoplastic composites strongly depends on solid fiber-matrix adhesion to allow stress transfer between the phases. Fiber surface modification with coupling agents is generally needed to induce bond formation between the fiber and the polymer. This study investigated the effects of coupling agent's functional monomer (acrylic acid vs. maleic anhydride) and base resin (polyethylene (PE) vs. polypropylene (PP)) types on the tensile and flexural properties of high-density polyethylene (HDPE)-wood-flour composites. The interfacial adhesion between wood flour and HDPE matrix was examined using environmental scanning electron microscope. The experimental results indicate that the types of functional monomer and base resin are important factors determining the effectiveness of functionalized coupling agents for HDPE-wood-flour composites. Maleic anhydride-functionalized polyolefins perform better than acrylic acid counterparts whereas PE-based maleated coupling agents are mo...

126 citations

Journal ArticleDOI
TL;DR: Open Source Appropriate Technology (OSAT) as discussed by the authors is a paradigm for sustainable development in which anyone can learn how to make and use needed technologies free of intellectual property concerns and contribute to the collective open source knowledge ecosystem or knowledge commons.
Abstract: Much of the widespread poverty, environmental desecration, and waste of human life seen around the globe could be prevented by known (to humanity as a whole) technologies, many of which are simply not available to those that need it. This lack of access to critical information for sustainable development is directly responsible for a morally and ethically unacceptable level of human suffering and death. A solution to this general problem is the concept of open source appropriate technology or OSAT, which refers to technologies that provide for sustainable development while being designed in the same fashion as free and open source software. OSAT is made up of technologies that are easily and economically utilized from readily available resources by local communities to meet their needs and must meet the boundary conditions set by environmental, cultural, economic, and educational resource constraints of the local community. This paper explores both the open source and appropriate technology aspects of OSAT to create a paradigm, in which anyone can both learn how to make and use needed technologies free of intellectual property concerns. At the same time, anyone can also add to the collective open source knowledge ecosystem or knowledge commons by contributing ideas, designs, observations, experimental data, deployment logs, etc. It is argued that if OSAT continues to grow and takes hold globally creating a vibrant virtual community to share technology plans and experiences, a new technological revolution built on a dispersed network of innovators working together to create a just sustainable world is possible.

125 citations

Journal ArticleDOI
13 Oct 2017-Science
TL;DR: OCO-2’s sampling strategy was designed to characterize CO2 sources and sinks on regional to continental and ocean-basin scales, but the unprecedented kilometer-scale resolution and high sensitivity enables detection of CO2 from natural and anthropogenic localized emission sources.
Abstract: INTRODUCTION Although the carbon budget is often presented in terms of global-scale fluxes, many of the contributing processes occur through localized point sources, which have been challenging to measure from space. Persistent anthropogenic carbon dioxide (CO 2 ) emissions have altered the natural balance of Earth’s carbon sources and sinks. These emissions are driven by a multitude of individual mobile and stationary point sources that combust fossil fuels, with urban areas accounting for more than 70% of anthropogenic emissions to the atmosphere. Natural point-source emissions are dominated by wildfires and persistent volcanic degassing. RATIONALE Comprehensive global measurements from space could help to more completely characterize anthropogenic and natural point-source emissions. In global carbon cycle models, anthropogenic point-source information comes from bottom-up emission inventories, whereas natural point-source information comes from a sparse in situ measurement network. Whereas clusters of urban CO 2 point-source plumes merge together, isolated point sources (e.g., remote power plants, cement production plants, and persistently degassing volcanoes) create localized plumes. Because turbulent mixing and diffusion cause rapid downwind dilution, they are challenging to detect and analyze. Point-source detection from space is complicated by signal dilution: The observed values of Δ X CO 2 (enhancement of the column-averaged dry-air CO 2 mole fraction) correspond to in situ CO 2 enhancements of 10-fold or higher. Space-based sensors that detect and quantify CO 2 in plumes from individual point sources would enable validation of reported inventory fluxes for power plants. These sensors would also advance the detectability of volcanic eruption precursors and improve volcanic CO 2 emission inventories. RESULTS Spaceborne measurements of atmospheric CO 2 using kilometer-scale data from NASA’s Orbiting Carbon Observatory-2 (OCO-2) reveal distinct structures caused by known anthropogenic and natural point sources, including megacities and volcanoes. Continuous along-track sampling across Los Angeles (USA) by OCO-2 at its ~2.25-km spatial resolution exposes intra-urban spatial variability in the atmospheric X CO 2 distribution that corresponds to the structure of the urban dome, which is detectable under favorable wind conditions. Los Angeles X CO 2 peaks over the urban core and decreases through suburban areas to rural background values more than ~100 km away. Enhancements of X CO 2 in the Los Angeles urban CO 2 dome observed by OCO-2 vary seasonally from 4.4 to 6.1 parts per million (ppm). We also detected isolated CO 2 plumes from the persistently degassing Yasur, Ambrym, and Aoba volcanoes (Vanuatu), corroborated by near-simultaneous sulfur dioxide plume detections by NASA’s Ozone Mapping and Profiler Suite. An OCO-2 transect passing directly downwind of Yasur volcano yielded a narrow filament of enhanced X CO 2 ( Δ X CO 2 ≈ 3.4 ppm), consistent with plume modeling of a CO 2 point source emitting 41.6 ± 19.7 kilotons per day (15.2 ± 7.2 megatons per year). These highest continuous volcanic CO 2 emissions are collectively dwarfed by about 70 fossil fuel–burning power plants on Earth, which each emit more than 15 megatons per year of CO 2 . CONCLUSION OCO-2’s sampling strategy was designed to characterize CO 2 sources and sinks on regional to continental and ocean-basin scales, but the unprecedented kilometer-scale resolution and high sensitivity enables detection of CO 2 from natural and anthropogenic localized emission sources. OCO-2 captures seasonal, intra-urban, and isolated plume signals. Capitalizing on OCO-2’s sensitivity, a much higher temporal resolution would capture anthropogenic emission signal variations from diurnal, weekly, climatic, and economic effects, and, for volcanoes, precursory emission variability. Future sampling strategies will benefit from a continuous mapping approach with the sensitivity of OCO-2 to systematically and repeatedly capture these smaller, urban to individual plume scales of CO 2 point sources.

125 citations


Authors

Showing all 8104 results

NameH-indexPapersCitations
Anil K. Jain1831016192151
Marc W. Kirschner162457102145
Yonggang Huang13679769290
Hong Wang110163351811
Fei Wang107182453587
Emanuele Bonamente10521940826
Haoshen Zhou10451937609
Nicholas J. Turro104113153827
Yang Shao-Horn10245849463
Richard P. Novick9929534542
Markus J. Buehler9560933054
Martin L. Yarmush9170234591
Alan Robock9034627022
Patrick M. Schlievert9044432037
Lonnie O. Ingram8831622217
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202349
2022154
2021882
2020891
2019892
2018893