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A Tunable Triboelectric Wideband Energy Harvester, Daniel Nelson, Alwathiqbellah Ibrahim, Shahrzad Towfighian 2019 The University of Akron

A Tunable Triboelectric Wideband Energy Harvester, Daniel Nelson, Alwathiqbellah Ibrahim, Shahrzad Towfighian

Systems Science and Industrial Engineering Faculty Scholarship

The ability to efficiently convert mechanical energy into electrical energy has become an important topic of discussion and research in the last decade. Triboelectric generators have recently been popular for vibration energy harvesting, but despite plenty of research on its material aspect, research on combining mechanical characteristics and voltage generation output has been sparse. Many energy harvesters suffer from low operating bandwidths and are usually restricted to operating at a specific frequency. We propose a tunable triboelectric energy harvester that has a large response over a wide frequency bandwidth at low frequencies. The tunability is implemented by axially pre-loading a ...


Fiber-Reinforced Polymer Bridge Girders For Extremely Aggressive Environments, Abdellah Emad Azeez 2019 Embry-Riddle Aeronautical University

Fiber-Reinforced Polymer Bridge Girders For Extremely Aggressive Environments, Abdellah Emad Azeez

Dissertations and Theses

In 2012, the federal government estimated that $17.5 billion was spent on inspection, rehabilitation, maintenance, and replacement of the nation’s bridges. While the average lifespan of steel and reinforced concrete bridges is 50 years, certain bridges subjected to extremely aggressive marine environments may not reach this desired target. This research paper investigates using fiber-reinforced polymer (FRP) materials as primary bridge girders in medium span bridges (30 ft. to 75 ft.). The goal of this research is to identify the most efficient and cost-effective alternative for these corrosion-resistant materials and potentially extend the lifespan of these bridges up to ...


Design By Taking Perspectives: How Engineers Explore Problems, Jaclyn K. Murray, Jaryn A. Studer, Shanna R. Daly, Seda McKilligan, Colleen M. Seifert 2019 Augusta University

Design By Taking Perspectives: How Engineers Explore Problems, Jaclyn K. Murray, Jaryn A. Studer, Shanna R. Daly, Seda Mckilligan, Colleen M. Seifert

Industrial Design Publications

Background: Problem exploration includes identifying, framing, and defining design problems and bounding problem spaces. Intentional and unintentional changes in problem understanding naturally occur as designers explore design problems to create solutions. Through problem exploration, new perspectives on the problem can emerge along with new and diverse ideas for solutions. By considering multiple problem perspectives varying in scope and focus, designers position themselves to increase their understandings of the “real” problem and engage in more diverse idea generation processes leading to an increasing variety of potential solutions.

Purpose/Hypothesis: The purpose of this study was to investigate systematic patterns in problem ...


The Good Family, James Hannigan 2019 University of Maine

The Good Family, James Hannigan

Honors College

The Good Family is a story following a group of seventeens in their historic and scrutinized ’68 Birth-Night Battalia. The characters, who have trained since as early as age twelve and as late as fourteen – with heavy combat training for up to a year and as little as six months, are well prepared by the Tokien system. Demonstrating their Link-worthy will be a challenge that none of them can fully imagine, as this year is the unveiling of a Tokien-engineered tech development that will undoubtedly change the course humanity rides in the closing of the 22nd century.


Impacts Of Freight Consolidation And Truck Sharing On Freight Mobility, Tieming Liu, Chaoyue Zhao 2019 Oklahoma State University

Impacts Of Freight Consolidation And Truck Sharing On Freight Mobility, Tieming Liu, Chaoyue Zhao

Data

Corresponding data set for Tran-SET Project No. 17ITSOKS02. Abstract of the final report is stated below for reference:

"The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the efficiency of cargo transportation and the ability for small carriers to identify demands to fill full truck loads. The focus of this research is to study models and algorithms in order to aid online freight marketplaces to identify efficient consolidation strategies. To accomplish this aim, a new mixed integer programming model for the pickup and delivery problem has been developed. The model is ...


Impacts Of Freight Consolidation And Truck Sharing On Freight Mobility, Tieming Liu, Chaoyue Zhao 2019 Oklahoma State University

Impacts Of Freight Consolidation And Truck Sharing On Freight Mobility, Tieming Liu, Chaoyue Zhao

Publications

The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the efficiency of cargo transportation and the ability for small carriers to identify demands to fill full truck loads. The focus of this research is to study models and algorithms in order to aid online freight marketplaces to identify efficient consolidation strategies. To accomplish this aim, a new mixed integer programming model for the pickup and delivery problem has been developed. The model is geared towards identifying effective freight consolidation opportunities. A branch-and-cut algorithm to solve the model was also developed. The ...


An Investigation Of General Criteria For Assessing Space Flight Systems Of Diverse Mission Concept Designs, Cindy L. Daniels 2019 Old Dominion University

An Investigation Of General Criteria For Assessing Space Flight Systems Of Diverse Mission Concept Designs, Cindy L. Daniels

Engineering Management & Systems Engineering Theses & Dissertations

The purpose of this research is to investigate the general criteria for assessing the technical implementation risk factors of proposed space science missions at the mission concept stage. According to the National Aeronautics and Space Administration (NASA) Space Flight Program and Project Management Handbook (NASA, 2012), the mission concept review objectives are “To evaluate the feasibility of the proposed mission concept(s) and its fulfillment of the program's needs and objectives. To determine whether the maturity of the concept and associated planning are sufficient to begin Phase A” (p.33). Experts previously defined two technical risk factors, to assess ...


Route Planning For A Fleet Of Electric Vehicles With Waiting Times At Charging Stations, Baoxiang LI, Shashi Shekhar JHA, Hoong Chuin LAU 2019 Singapore Management University

Route Planning For A Fleet Of Electric Vehicles With Waiting Times At Charging Stations, Baoxiang Li, Shashi Shekhar Jha, Hoong Chuin Lau

Research Collection School Of Information Systems

Electric Vehicles (EVs) are the next wave of technology in the transportation industry. EVs are increasingly becoming common for personal transport and pushing the boundaries to become the mainstream mode of transportation. Use of such EVs in logistic fleets for delivering customer goods is not far from becoming reality. However, managing such fleet of EVs bring new challenges in terms of battery capacities and charging infrastructure for efficient route planning. Researchers have addressed such issues considering different aspects of the EVs such as linear battery charging/discharging rate, fixed travel times, etc. In this paper, we address the issue of ...


Development And Initial Evaluation Of A Reinforced Cue Detection Model To Assess Situation Awareness In Commercial Aircraft Cockpits, Aysen K. Taylor 2019 Old Dominion University

Development And Initial Evaluation Of A Reinforced Cue Detection Model To Assess Situation Awareness In Commercial Aircraft Cockpits, Aysen K. Taylor

Engineering Management & Systems Engineering Theses & Dissertations

Commercial transport aircraft of today vary greatly from early aircraft with regards to how the aircraft are controlled and the feedback provided from the machine to the human operator. Over time, as avionics systems became more automated, pilots had less direct control over their aircraft. Much research exists in the literature about automation issues, and several major accidents over the last twenty years spurred interest about how to maintain the benefits of automation while improving the overall human-machine interaction as the pilot is considered the last line of defense.

An important reason for maintaining or even improving overall pilot situation ...


(Poster) Internal Restoration And Modernization Of A 1948 Wwii Era Jukebox, Miles Furr, Cristiana Olarinre, Joel Carpenter, Elijah Knox, George Ricco, Paul Talaga, Suranga Dharmarathne 2019 University of Indianapolis

(Poster) Internal Restoration And Modernization Of A 1948 Wwii Era Jukebox, Miles Furr, Cristiana Olarinre, Joel Carpenter, Elijah Knox, George Ricco, Paul Talaga, Suranga Dharmarathne

ASEE IL-IN Section Conference

Using Six Sigma guidelines under the sponsorship of The University of Indianapolis in cooperation with the client, Brugh Industrial Engineering, this project is to modernize the functionality and interface of a Rockola Model 1428 Jukebox while maintaining its vintage appeal. The process of modernization includes meeting today's industrial safety standards, incorporating ethernet protocol, and utilizing a programmable logic controller, PLC. The jukebox is a showcase of current automation technology. Lighting has been upgraded from fluorescent and incandescent bulbs to addressable nano pixel LEDs. The amplifier, coin system, and record selection system were revitalized to OEM operation standards. All switches ...


Fracture Toughness And Fatigue Crack Growth Rate Characterization Of Inconel 718 Formed By Laser Powder Bed Fusion, Charles C. Hohnbaum 2019 Air Force Institute of Technology

Fracture Toughness And Fatigue Crack Growth Rate Characterization Of Inconel 718 Formed By Laser Powder Bed Fusion, Charles C. Hohnbaum

Theses and Dissertations

Continuing improvement in the field of AM of metals provides the opportunity for direct fabrication of aerospace parts. AM was once used in large part for rapid prototyping but improvements in technology and increases in the knowledge base of AM materials has provided the opportunity for manufacture of AM parts for operational use. The ability to create low numbers of unique parts without having to invest in expensive tooling provides great economic incentive to utilize this technique. IN718 is the most common high temperature alloy used in the aerospace industry and lends itself readily to formation by LPBF. The superior ...


Option Pricing Methods For Estimating Capacity Shortages, Dohyun Pak, Sarah M. Ryan 2019 Iowa State University

Option Pricing Methods For Estimating Capacity Shortages, Dohyun Pak, Sarah M. Ryan

Sarah M. Ryan

Uncertain demand combined with a positive lead time for adding capacity creates the risk of capacity shortage during the lead time. Accurate shortage estimation is very important to determine a capacity expansion policy. In this paper, we investigate four kinds of option pricing methods to estimate the shortage during a fixed lead time under the assumption of an exponential trend for demand growth. We compare the effect of the different shortage measures on the optimal parameters for an expansion policy over the long term.


Transmission Expansion Planning With Transformer Replacement, Mujing Ye, Sarah M. Ryan, James D. McCalley 2019 Iowa State University

Transmission Expansion Planning With Transformer Replacement, Mujing Ye, Sarah M. Ryan, James D. Mccalley

Sarah M. Ryan

Investments in high-voltage transmission facilities require large financial commitments and significantly affect the future reliability and economy of the interconnected power system. Transmission expansion planning is complicated by the potential component unavailability due to forced or scheduled outage. Transformers comprise one important set of system components of which many in current use are reaching an advanced service age. Condition monitoring technologies can help improve predictions of their reliability. We formulate and analyze an optimization model for transmission expansion planning and transformer replacement that accounts for transformer as well as transmission line reliability and solve a small instance in a reasonable ...


The Electronic Learning Portal: An Active Learning Environment For Information Technology Across The Curriculum, John K. Jackman, Sigurdur Olafsson, Frank E. Peters, Sarah M. Ryan 2019 Iowa State University

The Electronic Learning Portal: An Active Learning Environment For Information Technology Across The Curriculum, John K. Jackman, Sigurdur Olafsson, Frank E. Peters, Sarah M. Ryan

Sarah M. Ryan

We are developing a new system that supports a suite of interrelated computer modules based on real-world scenarios. The primary goals of the project are to integrate industrial engineering courses, improve students’ information technology skills, and enhance students’ problem solving skills. In particular, metacognitive abilities will be strengthened as students apply domain knowledge, data, methods and software tools while monitoring their own solution processes. This paper presents some of our results from a pilot study in a large engineering economic analysis course.


Closed-Loop Supply Chain Network Design Under Carbon Emission Regulations, Nan Gao, Sarah M. Ryan 2019 Iowa State University

Closed-Loop Supply Chain Network Design Under Carbon Emission Regulations, Nan Gao, Sarah M. Ryan

Sarah M. Ryan

This paper considers a closed–loop supply chain (CLSC) network design problem that accounts for the impact of carbon emission regulations. Three regulatory policy settings are considered; namely, (a) firms are subject to mandatory carbon caps on the amount of carbon they emit, (b) firms are taxed on the amount of emissions, and (c) firms can participate in a carbon cap and trade system. Traditional CLSC network design models are extended to account for the carbon emissions caused by transportation under different transportation modes. Model validations are demonstrated via a case study. Through detailed sensitivity analysis, we investigate how the ...


Optimal Solution To A Capacity Expansion Problem, Rahul R. Marathe, Sarah M. Ryan 2019 Iowa State University

Optimal Solution To A Capacity Expansion Problem, Rahul R. Marathe, Sarah M. Ryan

Sarah M. Ryan

For a service provider, stochastic demand growth along with expansion lead times and economies of scale may encourage delaying the start of expansion until after some shortages have been accumulated. Assuming demand follows a geometric Brownian motion, we define the service level in terms of the proportion of demand satisfied, which is then analytically evaluated using financial option pricing theory. Under a stationary expansion policy, an infinite time horizon discounted expansion cost is minimized under the service level constraint, where the expansion timing and size parameters are the decision variables. With the current formulation, the problem seems to be unbounded.


Capacity Expansion For Uncertain Demand With Initial Shortages, Rahul R. Marathe, Sarah M. Ryan 2019 Iowa State University

Capacity Expansion For Uncertain Demand With Initial Shortages, Rahul R. Marathe, Sarah M. Ryan

Sarah M. Ryan

For service providers, uncertain demand for capacity and expansion lead time may create unavoidable capacity shortages, which may be allowed to accumulate before initiating an expansion. For the demand following a geometric Brownian motion process, we assume a stationary expansion policy where the timing and size of expansion are determined as fixed proportions of the capacity position. We define the service level in terms of the capacity shortages, which can be evaluated by applying pricing formulae for barrier options in finance. We observe the relationship between the two policy parameters at different specified service levels and for other model parameters.


A New Analytical Evaluation Model For Kanban Controlled Systems With Fork/Join Synchronization Stations, Heedong Kim, Sarah M. Ryan 2019 Iowa State University

A New Analytical Evaluation Model For Kanban Controlled Systems With Fork/Join Synchronization Stations, Heedong Kim, Sarah M. Ryan

Sarah M. Ryan

A nonlinear programming model is developed for analyzing the queuing model of a kanban controlled system with fork/join synchronization stations. The model finds the minimum number of kanbans for a given throughput requirement or the maximum throughput for a given number of kanbans, where servers have different exponential service times. Furthermore, it aids understanding of kanban systems.


Analysis Of Delayed Product Differentiation Under A Conwip Policy, Heedong Kim, Sarah M. Ryan 2019 Iowa State University

Analysis Of Delayed Product Differentiation Under A Conwip Policy, Heedong Kim, Sarah M. Ryan

Sarah M. Ryan

Delayed product differentiation (DPD) increases manufacturers’ competitiveness by enabling faster responses to demand changes and has been shown to require less work in process (WIP) in base-stock systems. We model a system of two products using three CONWIP loops to represent the common processes and the differentiated processes for each product. DPD converts some differentiated processes to common ones. A nonlinear programming (NLP) model can determine kanban counts for each loop to achieve specified throughput bounds. Because these bounds are not tight, a heuristic algorithm starts from the NLP solution and adjusts the kanbans according to simulation. The results indicate ...


Comparison Of Efficient Methods For Solving A Large-Scale Multistage Stochastic Program, Yan Wang, Sarah M. Ryan 2019 Iowa State University

Comparison Of Efficient Methods For Solving A Large-Scale Multistage Stochastic Program, Yan Wang, Sarah M. Ryan

Sarah M. Ryan

We use a rolling two-stage procedure for solving a multistage stochastic program to assess the effects of uncertain fuel costs on optimal energy flows in the U.S. The optimal solution to the largest deterministic equivalent is obtained via Benders decomposition. We apply methods including temporal aggregation and scenario reduction to find approximate solutions which require less computational effort. These methods exploit both the network structure of the model and the multistage nature of forecast revision and uncertainty resolution. We evaluate the approximations based on similarity of the effects of uncertainty on the optimal flows compared to the exact solution.


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