Engineering | Open Access Articles | Digital Commons Network™

دینامیک سیستم های قدرت-بخش اول, Hadi Zayandehroodi

Dr. Hadi Zayandehroodi

No abstract provided.

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دینامیک-بخش دوم, Hadi Zayandehroodi

Dr. Hadi Zayandehroodi

No abstract provided.

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دینامیک سیستم های قدرت- بخش چهارم, Hadi Zayandehroodi

Dr. Hadi Zayandehroodi

No abstract provided.

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Swept Wind Turbine Blade Aeroelastic Modeling For Loads And Dynamic Behavior, Scott M. Larwood, Mike Zutek

Scott M. Larwood

A dynamic modeling effort of a swept-blade wind turbine rotor has been conducted. The swept-blade concept was used for increased energy capture without an increase in the turbine loads. The work is part of a Department of Energy contract for increased wind energy capture at low-wind speed sites. The blade works by twisting to feather under aerodynamic loads at the outboard region. Conceptual design of the blade resulted in a 28 m blade radius for eventual testing on a normally 50 m diameter turbine. The blade was modeled with codes developed by the National Renewable Energy Laboratory. Comparisons were made …

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Wind Turbine Rotor Fragments: Impact Probability And Setback Evaluation, Scott M. Larwood, C. P. Van Dam

Scott M. Larwood

With increasing installation of wind turbines, the exposure to the hazard of impact from blade fragments increases. Local authorities use setbacks to reduce the risk by limiting the distance from wind turbines to adjacent property lines and dwellings. Unduly conservative setbacks are a deterrent to wind energy development. To determine appropriate setbacks, the authors developed a fragment trajectory model based on fragment rotation and aerodynamics. The model was used to simulate fragment trajectories at various rotor speeds, with randomly generated inputs for wind speed, wind direction, rotor azimuth, and rotor break position. Four sizes of wind turbines were studied, with …

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Design Studies Of Swept Wind Turbine Blades, Scott M. Larwood, C. P. Van Dam, Daniel Schow

Scott M. Larwood

The growth of wind energy is sustained by innovation that lowers the cost of energy. One recent innovation is the swept blade, which deflects in operation and lowers loads. With sweep, a design rotor diameter can increase, capturing more power, with the loads remaining within limits. This concept has been demonstrated in a U.S. program and is in commercial production. This paper describes a parametric study of swept blade design parameters for a 750 kW machine. The amount of tip sweep had the largest effect on the energy production and blade loads; other parameters had less impact. The authors then …

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Comparison Of Upwind And Downwind Operation Of The Nrel Phase Vi Experiment, Scott M. Larwood, R. Chow

Scott M. Larwood

Wind tunnel data are presented comparing upwind versus downwind operation of the National Renewable Energy Laboratory's Phase VI wind turbine. Power was not reduced as expected with downwind operation, which may be attributed to inboard three-dimensional effects. Average flap bending loads were reduced with downwind coning and compared well with prediction. Blade fatigue loads were increased with downwind operation; however, fatigue was mitigated with an aerodynamic tower shroud (fairing). The shroud needs to remain aligned with the freestream, demonstrated by an increase in fatigue loads from a 10° error in shroud alignment. Pressure data were acquired of the tower wake …

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Measuring The Effectiveness Of Team-Based Learning Outcomes In A Human Factors Course, Michael C. Dorneich, Sarah E. Bickelhaupt, Cassandra Dorius, Georgeanne M. Artz, Holly Bender, Laura Bestler, Beth Caissie, Sandra W. Gahn, Keri L. Jacobs, Monica H. Lamm, Lisa Orgler, Jane M. Rongerude, Ann Smiley-Oyen, Richard T. Stone

Lisa Orgler

This paper will describe a synopsis of the development and application of a survey instrument to assess team skills and professional development outcomes of Team-Based Learning (TBL) in a human factors course. TBL is an advancing teaching pedagogy that shifts instruction from a traditional lecture-based teaching paradigm to a structured learning sequence that includes individual student preparation outside of class followed by active, in-class problem solving exercises completed by student learning teams. As an evolving teaching method, TBL appears to be producing new empirical learning outcomes in areas that have only preliminarily been explored. Traditionally, the effectiveness of TBL has …

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Grnsight: A Web Application And Service For Visualizing Models Of Small- To Medium-Scale Gene Regulatory Networks, Kam D. Dahlquist, John David N. Dionisio, Ben G. Fitzpatrick, Nicole A. Anguiano, Anindita Varshneya, Britain J. Southwick, Mihir Samdarshi

John David N. Dionisio

GRNsight is a web application and service for visualizing models of gene regulatory networks (GRNs). A gene regulatory network (GRN) consists of genes, transcription factors, and the regulatory connections between them which govern the level of expression of mRNA and protein from genes. The original motivation came from our efforts to perform parameter estimation and forward simulation of the dynamics of a differential equations model of a small GRN with 21 nodes and 31 edges. We wanted a quick and easy way to visualize the weight parameters from the model which represent the direction and magnitude of the influence of …

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Resurrecting “Poor Man’S Purple”: A Transdisciplinary Study Of Color-Shifted Pigments Used In An Encaustic Fayum Mummy Portrait Of Ancient Egypt, Brittany Archuleta, Alaggio B. Laurino, Cameron E. Quade, John-Paul D. Stroud, Jared L. Talley, Brittany L. Cannon, Ron Garnys, Darryl P. Butt, Glenn Gates, Janice Neri

Janice Neri

During the Coptic period in Fayum Egypt, encaustic (i.e. wax) mummy portraits were painted onto wooden panels or linen and attached to the mummy trappings of the deceased. One such portrait, “32.6: The Bearded Man” (c. 170-180 AD), features an unidentified Roman-Egyptian displaying a purple clavi. The trace swath of purple in the portrait provides evidence as to the origins of the painting and the identity of the man. Nanoscale analysis of the pigment suggests a red organic material was color shifted using a metal salt to produce a “poor man’s purple” as opposed to the expensive murex purple traditionally …

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In-Plane Loading Of Brick Veneer Over Wood Shear Walls, Elias Anis Toubia, James M. Lintz

Elias Toubia

In the design of wood stud walls with brick veneer, current design building codes specify that the wood stud wall should resist all in-plane and out-of-plane loads (IBC 2009). For out-of-plane loads, this assumption is entirely justified as the brittle brick veneer will crack and lose its capacity to resist bending. For in-plane loads, the brick veneer is significantly stiffer than the wood shear wall, and the veneer is unlikely to crack before the wood shear wall reaches its allowable capacity. The assumption that the wood shear wall resists the entire load is based on the further assumption that the …

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Senior Design - Hybrid Rocket Conceptual Design, Hardeo Chin

Hardeo Chin

Hybrid rockets utilize rocket motors which contain both liquid and solid propellant. They provide numerous benefits compared to solid and liquid rockets such as being mechanically simpler, having denser fuels, and providing higher specific impulse. Generally, the oxidizer is liquid and fuel is solid because solid oxidizers are dangerous and are lower performing than their liquid counterparts. Hybrid systems avoid the significant hazards of manufacturing, shipping, and handling that solid rocket motors possess. The conceptual design report herein separately assesses the structural and propulsive needs for a mid-power rocket with a G-motor

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Deriving An Indoor Environmental Index For Portuguese Office Buildings, João F. Gomes

João F Gomes

No abstract provided.

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Experimental Investigation Of The Velocity Field In Buoyant Diffusion Flames Using Piv And Tpiv Algorithm, Lulu Sun, Xiangyang Zhou, Shankar Mahalingam, David R. Weise

Lulu Sun

We investigated a simultaneous temporally and spatially resolved 2-D velocity field above a burning circular pan of alcohol using particle image velocimetry (PIV). The results obtained from PIV were used to assess a thermal particle image velocimetry (TPIV) algorithm previously developed to approximate the velocity field using the temperature field, simultaneously captured by an infrared (IR) thermal camera. By tracing “thermal particles,” which were assumed to be virtual particles that corresponded to pixels of temperature values in successive IR images, the TPIV algorithm estimated a larger scale instantaneous velocity field than either a single-point velocity measurement (e.g., LDV) or the …

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Kinetics Of Guaiacol Deoxygenation Using Methane Over The Pt–Bi Catalyst, Yang Xiao, Arvind Varma

Yang Xiao

Using H2 as a reductant, catalytic hydrodeoxygenation (HDO) is typically used for upgrading bio-oils, generally produced from thermal degradation of lignin. In our recent prior work, methane was used to deoxygenate guaiacol over the Pt–Bi catalyst and was found to exhibit as good deoxygenation performance as hydrogen. In the present work, using methane as a reductant, detailed reaction pathways and kinetics of guaiacol deoxygenation are studied using differential and integral operating conditions. Kinetic parameters including rate constants and activation energies are determined for each individual reaction step. The model predicted values match experimental data well. Results from the present …

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Modeling Of Wide Bandgap Power Semiconductor Devices—Part I, Kang Peng

Kang Peng

Wide bandgap power devices have emerged as an often superior alternative power switch technology for many

power electronic applications. These devices theoretically have excellent material properties enabling power device operation at higher switching frequencies and higher temperatures compared with conventional silicon devices. However, material defects can dominate device behavior, particularly over time, and this should be strongly considered when trying to model actual characteristics of currently available devices. Compact models

of wide bandgap power devices are necessary to analyze and evaluate their impact on circuit and system performance. Available compact models, i.e., models compatible with circuit level simulators, are reviewed. …

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Experimental Validation Of A Solar-Chimney Power Plant Model, Nima Fathi, Patrick Wayne, Ignacio Trueba Monje, Peter Vorobieff

Nima Fathi

In a solar chimney power plant system (SCPPS), the energy of buoyant hot air is converted to electrical energy. SCPPS includes a collector at ground level covered with a transparent roof. Solar radiation heats the air inside and the ground underneath. There is a tall chimney at the center of the collector, and a turbine located at the base of the chimney. Lack of detailed experimental data for validation is one of the important issues in modeling this type of power plants. We present a small-scale experimental prototype developed to perform validation analysis for modeling and simulation of SCCPS. Detailed …

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Maa & Mmdp: Fall Workshop 2016 With Mid-Michigan Digital Practitioners, Matt Schultz, Annie Benefiel

Matt Schultz

In Summer 2016, GVSU Libraries was invited to submit a brief article for the Michigan Archival Association's Fall Open Entry newsletter on the background and impact of the Mid-Michigan Digital Practitioner's community. The article provides that background and several details and outcomes of the most recent meetings.

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Perceptions Of Planned Versus Unplanned Malfunctions: A Human-Robot Interaction Scenario, Theresa T. Kessler, Keith R. Macarthur, Manuel Trujillo-Silva, Thomas Macgillivray, Chris Ripa, Peter A. Hancock

Keith Reid MacArthur

The present study investigated the effect of malfunctions on trust in a human-robot interaction scenario. Participants were exposed to either a planned or unplanned robot malfunction and then completed two different self-report trust measures. Resulting trust between planned and unplanned exposures was analyzed, showing that trust levels impacted by planned malfunctions did not significantly differ from those impacted by unplanned malfunctions. Therefore, it can be surmised that the methods used for the manipulation of the planned malfunctions were effective and are recommended for further study use.

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A Beginner’S Guide To Controller Area Network Bus Access In Modern Vehicles, Kevin Mcfall, T. Fisher

Kevin McFall

A controller area network (CAN) is a communication system designed so that a microcontroller governing multiple

systems (nodes) on the network can function effectively. This network can be accessed, interpreted, and manipulated by an external computer. The purpose of this paper is to provide a basic working knowledge of CAN architecture and protocols, as well as show how to connect to and decode a vehicular controller area network.

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Pro Bono Analytics: A Program By Informs To Match Members Willing To Volunteer Their Analytical Skills With Nonprofit Organizations Working In Underserved Areas Or With Underserved Populations [Poster], Rina Schneur, Victoria Chen, Jim Cochran, Terry Cryan, Arnold Greenland, David Hunt, Michael P. Johnson Jr., Paul Rubin

Michael P. Johnson

•INFORMS members (and non-members) volunteer to work with charitable organizations

•Charitable organizations (non-profits) request analytics help

•Pro Bono Analytics committee assists non-profits with formulation & scoping

•Volunteers provide service free (except expenses)

•Win-Win:

- Clients get helpful analytics

- Volunteers get experience and do something charitable

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Pro Bono Analytics – Addressing Business Problems Faced By Nonprofit Organizations, David Hunt, Michael P. Johnson Jr.

Michael P. Johnson

Pro Bono Analytics is an INFORMS program that matches volunteers with nonprofit organizations working in underserved areas and for underserved populations. The nonprofits tend to be small and without the resources to utilize traditional operations research and advanced analytical methods. This talk will focus on how to communicate the value of OR/analytics to nonprofits, and perhaps more importantly, what we have learned about applying OR/analytical methods to problems that truly matter to our nonprofit clients.

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Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

Main Street organizations develop local development initiatives that support economic and social goals. We describe an application of value-focused thinking and community-based operations research to identify economic development performance metrics and decision alternatives for local development interventions. Using interviews with stakeholders in three Boston communities, we show how values structures vary across communities and stakeholder groups and how attributes can be quantified using a variety of data sources. We conclude by presenting a composite values structure to support improved operations management and strategy design for all Boston Main Street districts.

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An Agenda For Diversity And Inclusion-Related Research Within Or/Ms/Analytics, Michael P. Johnson Jr., George Chichirau

Michael P. Johnson

Diversity and inclusion have been widely studied and debated, most often within the social sciences. What contributions can operations research, management science and analytics make to this domain of inquiry? This talk will critically examine assumptions and practices within the decision sciences that may support as well impede diversity- and inclusion-related research, and propose a research agenda that can challenge yet enrich our profession.

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Estimating Strategic Impacts Of Foreclosed Housing Redevelopment Using Spatial Analysis, Michael P. Johnson Jr.

Michael P. Johnson

Community-based organizations engaged in foreclosure response wish to quantify the relative value of housing units for redevelopment. We measure the 'strategic value' of property acquisition candidates based on proximity to site-specific neighborhood amenities and disamenities, given the relative importance of that proximity to CDC organizational and community objectives. We show that strategic values can differ in systematic ways depending on the types of amenities and disamenities identified as relevant for acquisition decisions, the relative importance assigned to those amenities and disamenities, and the utility maximization objectives of the organization.

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Assessment Of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery And Artificial Neural Networks, Leila Hassan-Esfahani, Alfonso Torres-Rua, Austin Jensen, Mac Mckee

Leila Hassan-Esfahani

Many crop production management decisions can be informed using data from high-resolution aerial images that provide information about crop health as influenced by soil fertility and moisture. Surface soil moisture is a key component of soil water balance, which addresses water and energy exchanges at the surface/atmosphere interface; however, high-resolution remotely sensed data is rarely used to acquire soil moisture values. In this study, an artificial neural network (ANN) model was developed to quantify the effectiveness of using spectral images to estimate surface soil moisture. The model produces acceptable estimations of surface soil moisture (root mean square error (RMSE) = …

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Peridynamic Modeling Of Ruptures In Biomembranes, Michael Taylor, Irep Gözen, Samir Patel, Aldo Jesorka, Katia Bertoldi

Michael Taylor

We simulate the formation of spontaneous ruptures in supported phospholipid double bilayer membranes, using peridynamic modeling. Experiments performed on spreading double bilayers typically show two distinct kinds of ruptures, floral and fractal, which form spontaneously in the distal (upper) bilayer at late stages of double bilayer formation on high energy substrates. It is, however, currently unresolved which factors govern the occurrence of either rupture type. Variations in the distance between the two bilayers, and the occurrence of interconnections (“pinning sites”) are suspected of contributing to the process. Our new simulations indicate that the pinned regions which form, presumably due to …

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Assessment Of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery And Artificial Neural Networks, Leila Hassan-Esfahani, Alfonso Torres-Rua, Austin Jensen, Mac Mckee

Leila Hassan-Esfahani

Many crop production management decisions can be informed using data from high-resolution aerial images that provide information about crop health as influenced by soil fertility and moisture. Surface soil moisture is a key component of soil water balance, which addresses water and energy exchanges at the surface/atmosphere interface; however, high-resolution remotely sensed data is rarely used to acquire soil moisture values. In this study, an artificial neural network (ANN) model was developed to quantify the effectiveness of using spectral images to estimate surface soil moisture. The model produces acceptable estimations of surface soil moisture (root mean square error (RMSE) = …

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The Impact Of Slit And Detention Dams On Debris Flow Control Using Gstars 3.0, Leila Hassan-Esfahani, Mohammad Ebrahim Banihabib

Leila Hassan-Esfahani

Sedimentation, Modeling, GSTARS3.0, Debris flow, Slit dam, Detention dam

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Full-Text Articles in Engineering

دینامیک سیستم های قدرت-بخش اول, Hadi Zayandehroodi

Dr. Hadi Zayandehroodi

دینامیک-بخش دوم, Hadi Zayandehroodi

Dr. Hadi Zayandehroodi

دینامیک سیستم های قدرت- بخش چهارم, Hadi Zayandehroodi

Dr. Hadi Zayandehroodi

Swept Wind Turbine Blade Aeroelastic Modeling For Loads And Dynamic Behavior, Scott M. Larwood, Mike Zutek

Scott M. Larwood

Wind Turbine Rotor Fragments: Impact Probability And Setback Evaluation, Scott M. Larwood, C. P. Van Dam

Scott M. Larwood

Design Studies Of Swept Wind Turbine Blades, Scott M. Larwood, C. P. Van Dam, Daniel Schow

Scott M. Larwood

Comparison Of Upwind And Downwind Operation Of The Nrel Phase Vi Experiment, Scott M. Larwood, R. Chow

Scott M. Larwood

Lisa Orgler

Jual Obat Erogan Pembesar Penis Asli Di Tangerang 085712176269, Dokter Aling

Obat Hammer Of Thor Asli Original

Grnsight: A Web Application And Service For Visualizing Models Of Small- To Medium-Scale Gene Regulatory Networks, Kam D. Dahlquist, John David N. Dionisio, Ben G. Fitzpatrick, Nicole A. Anguiano, Anindita Varshneya, Britain J. Southwick, Mihir Samdarshi

John David N. Dionisio

Janice Neri

In-Plane Loading Of Brick Veneer Over Wood Shear Walls, Elias Anis Toubia, James M. Lintz

Elias Toubia

Senior Design - Hybrid Rocket Conceptual Design, Hardeo Chin

Hardeo Chin

Deriving An Indoor Environmental Index For Portuguese Office Buildings, João F. Gomes

João F Gomes

Experimental Investigation Of The Velocity Field In Buoyant Diffusion Flames Using Piv And Tpiv Algorithm, Lulu Sun, Xiangyang Zhou, Shankar Mahalingam, David R. Weise

Lulu Sun

Kinetics Of Guaiacol Deoxygenation Using Methane Over The Pt–Bi Catalyst, Yang Xiao, Arvind Varma

Yang Xiao

Modeling Of Wide Bandgap Power Semiconductor Devices—Part I, Kang Peng

Kang Peng

Experimental Validation Of A Solar-Chimney Power Plant Model, Nima Fathi, Patrick Wayne, Ignacio Trueba Monje, Peter Vorobieff

Nima Fathi

Maa & Mmdp: Fall Workshop 2016 With Mid-Michigan Digital Practitioners, Matt Schultz, Annie Benefiel

Matt Schultz

Perceptions Of Planned Versus Unplanned Malfunctions: A Human-Robot Interaction Scenario, Theresa T. Kessler, Keith R. Macarthur, Manuel Trujillo-Silva, Thomas Macgillivray, Chris Ripa, Peter A. Hancock

Keith Reid MacArthur

A Beginner’S Guide To Controller Area Network Bus Access In Modern Vehicles, Kevin Mcfall, T. Fisher

Kevin McFall

Michael P. Johnson

Pro Bono Analytics – Addressing Business Problems Faced By Nonprofit Organizations, David Hunt, Michael P. Johnson Jr.

Michael P. Johnson

Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

An Agenda For Diversity And Inclusion-Related Research Within Or/Ms/Analytics, Michael P. Johnson Jr., George Chichirau

Michael P. Johnson

Estimating Strategic Impacts Of Foreclosed Housing Redevelopment Using Spatial Analysis, Michael P. Johnson Jr.

Michael P. Johnson

Assessment Of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery And Artificial Neural Networks, Leila Hassan-Esfahani, Alfonso Torres-Rua, Austin Jensen, Mac Mckee

Leila Hassan-Esfahani

Peridynamic Modeling Of Ruptures In Biomembranes, Michael Taylor, Irep Gözen, Samir Patel, Aldo Jesorka, Katia Bertoldi

Michael Taylor

Assessment Of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery And Artificial Neural Networks, Leila Hassan-Esfahani, Alfonso Torres-Rua, Austin Jensen, Mac Mckee

Leila Hassan-Esfahani

The Impact Of Slit And Detention Dams On Debris Flow Control Using Gstars 3.0, Leila Hassan-Esfahani, Mohammad Ebrahim Banihabib

Leila Hassan-Esfahani