Engineering Commons^™

Mathematical Modeling Of A Two Wheeled Robotic Base, Kathryn Remell

Mechanical Engineering Undergraduate Honors Theses

This thesis presents the concept of using a two wheeled robot on the moon and briefly explores the requirements for successful long term operation in a lunar environment. The mathematical model for the motion of a robot with two fixed wheels on a differential drive with in a global reference frame. The robot is assumed to be balancing a platform so the mathematical model to balance the platform with wheel motors is also developed and briefly evaluated.

Modeling The Release And Spreading Of Permanganate From Aerated Slow-Release Oxidants In A Laboratory Flow Tank, Ann Kambhu, Yusong Li, Troy E. Gilmore, Steve D. Comfort

Papers in Natural Resources

Aerated, slow-release oxidants are a relatively new technology for treating contaminated aquifers. A critical need for advancing this technology is developing a reliable method for predicting the radius of influence (ROI) around each drive point. In this work, we report a series of laboratory flow tank experiments and numerical modeling efforts designed to predict the release and spreading of permanganate from aerated oxidant candles (oxidant-wax composites). To mimic the design of the oxidant delivery system used in the field, a double screen was used in a series of flow tank experiments where the oxidant was placed inside the inner screen ...

My Private Lead Service Line Replacement, Lillian C. Jeznach, Joseph E. Goodwill

Engineering, Computing & Construction Management Faculty Publications

3 Key Takeaways:

1. A homeowner’s decision to replace their lead service line can be confounded by factors including their understanding of the science, their perceptions of their lead exposure risks, and the cost of the work.
2. First draw and 5-minute flush samples may not capture the peak lead concentration, further confounding a customer’s replacement decision.
3. In my case, lead service line replacement significantly lowered lead concentrations after stagnation based on sequential sampling.

Strategies For Reducing Greenhouse Gases From Liquid Dairy Manure, Vera Sokolov

Theses and Dissertations (Comprehensive)

Livestock production, including the storage, handling, and spreading of manure, are among the largest contributors to greenhouse gas emissions from the agricultural sector. Liquid dairy manure storages are hot spots of methane (CH₄), nitrous oxide (N₂O) and ammonia (NH₃). Both CH₄ and N₂O are greenhouse gases (GHG) which contribute to global warming, while NH₃ is an indirect source of N₂O and a risk to human health. Reducing emissions from manure storages is important not only for protection of environment and humans, but also for conserving the nutrients in manure making ...

Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin

Faculty of Engineering and Information Sciences - Papers: Part B

The identification of protein-protein interaction (PPI) is one of the most important tasks to understand the biological functions and disease mechanisms. Although numerous databases of biological interactions have been published in debt to advanced high-throughput technology, the study of inter-species protein-protein interactions, especially between human and bacterium pathogens, remains an active yet challenging topic to harness computational models tackling the complex analysis and prediction tasks. In this paper, we comprehensively revisit the prediction task of human-bacterium protein-protein interactions (HB-PPI), which is a first ever endeavour to report an empirical evaluation in learning and predicting HB-PPI based on machine learning models ...

A Hybrid Unsupervised Clustering-Based Anomaly Detection Method, Guo Pu, Lijuan Wang, Jun Shen, Fang Dong

Faculty of Engineering and Information Sciences - Papers: Part B

In recent years, machine learning-based cyber intrusion detection methods have gained increasing popularity. The number and complexity of new attacks continue to rise; therefore, effective and intelligent solutions are necessary. Unsupervised machine learning techniques are particularly appealing to intrusion detection systems since they can detect known and unknown types of attacks as well as zero-day attacks. In the current paper, we present an unsupervised anomaly detection method, which combines Sub-Space Clustering (SSC) and One Class Support Vector Machine (OCSVM) to detect attacks without any prior knowledge. The proposed approach is evaluated using the well-known NSL-KDD dataset. The experimental results demonstrate ...

Multi-Component Fuel Drop-Wall Interactions At High Ambient Pressures, Abhijeet Chausalkar, Chol-Bum M. Kweon, James B. Michael

Mechanical Engineering Publications

In direct injection engines, multicomponent fuels are injected at high pressures—resulting in a finely atomized spray which impacts on the hot wall of the piston crown and cylinder liner. The variable operating load of typical combustors results in widely varying wall temperature and ambient pressures. For quantitative prediction of the combustion spray physics, detailed data is required for the impact of multicomponent fuel drops on these heated surfaces at combustor-relevant pressures. A series of experiments are presented for blends of n-heptane and n-decane, as well as a commercial gasoline blend impacting heated walls at ambient pressures in the range ...

X-Ray Flow Visualization In Multiphase Flows, Alberto Aliseda, Theodore J. Heindel

Mechanical Engineering Publications

The use of X-ray flow visualization has brought a powerful new tool to the study of multiphase flows. Penetrating radiation can probe the spatial concentration of the different phases without the refraction, diffraction, or multiple scattering that usually produce image artifacts or reduce the signal-to-noise ratio below reliable values in optical visualization of multiphase flows; hence, X-ray visualization enables research into the three-dimensional (3D) structure of multiphase flows characterized by complex interfaces. With the commoditization of X-ray laboratory sources and wider access to synchrotron beam time for fluid mechanics, this novel imaging technique has shed light onto many multiphase flows ...

The Ftc And Ai Governance: A Regulatory Proposal, Michael Spiro

Seattle Journal of Technology, Environmental & Innovation Law

No abstract provided.

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Kriging-Based Design For Robust High-Performance Control Systems, Laura Micheli, Simon Laflamme

Civil, Construction and Environmental Engineering Publications

High-performance control systems (HPCS) are sophisticated vibration-mitigation devices that include active, semiactive, and hybrid systems. HPCS leverage feedback mechanisms to dynamically adjust the damping force in response to motion, offering a good mitigation performance over a wide excitation bandwidth. These damping systems are attractive for multihazard mitigation of civil structures. However, the application of HPCS necessitates the design and integration of a closed-loop control system that can be susceptible to local failure or reduction in performance in the form of, for example, malfunctions of HPCS components, noisy measurements, wear, aging, and power unavailability. It follows that these sources of uncertainties ...

Subsystem Identification Of Feedback And Feedforward Systems With Time Delay, S. Alireza Seyyed Mousavi, Xingye Zhang, Thomas M. Seigler, Jesse B. Hoagg

Mechanical Engineering Faculty Publications

We present an algorithm for identifying discrete-time feedback-and-feedforward subsystems with time delay that are interconnected in closed loop with a known subsystem. This frequency-domain algorithm uses only measured input and output data from a closed-loop discrete-time system, which is single input and single output. No internal signals are assumed to be measured. The orders of the unknown feedback and feedforward transfer functions are assumed to be known. We use a two-candidate-pool multi-convex-optimization approach to identify not only the feedback and feedforward transfer functions but also the feedback and feedforward time delay. The algorithm guarantees asymptotic stability of the identified closed-loop ...

Radio Frequency Emissions From Dark-Matter-Candidate Magnetized Quark Nuggets Interacting With Matter, J. Pace Vandevender, C. Jerald Buchenauer, Chunpei Cai, Aaron P. Vandevender, Benjamin A. Ulmen

Michigan Tech Publications

Quark nuggets are theoretical objects composed of approximately equal numbers of up, down, and strange quarks. They are also called strangelets, nuclearites, AQNs, slets, Macros, and MQNs. Quark nuggets are a candidate for dark matter, which has been a mystery for decades despite constituting ~ 85% of the universe’s mass. Most previous models of quark nuggets have assumed no intrinsic magnetic field; however, Tatsumi found that quark nuggets may exist in magnetars as a ferromagnetic liquid with a magnetic field BS = 1012±1 T. We apply that result to quark nuggets, a dark-matter candidate consistent with the Standard Model, and ...

Properties And Performance Of The Basalt-Fiber Reinforced Texture Roof Tiles, Parinya Chakartnarodom, Wichit Prakaypan, Pitcharat Ineure, Nutthita Chuankrerkkul, Edward A. Laitila, Nuntaporn Kongkajun

Michigan Tech Publications

The mechanical and the physical properties, and the performance of texture roof tiles reinforced with the basalt fibers were observed. The samples of the basalt-fiber reinforced texture roof tiles were produced on the industrial scale by using filter pressing method. After forming, the as-molded samples were air cured and characterized based on ASTM C1185 standard for their mechanical properties and physical properties. In addition, the roof-tile installation test was also performed. The results showed that the samples of the basalt-fiber reinforced texture roof tile (BFRT) could be produced on the industrial scale by using the common setting of the forming ...

Tensile Behavior Of Frp Anchors Made From Cfrp Ropes Epoxy-Bonded To Uncracked Concrete For Flexural Strengthening Of Rc Column, Yasir Saeed, Wisam Amer Aules, Franz N. Rad, Anis M. Raad

Civil and Environmental Engineering Faculty Publications and Presentations

One of the major problems with using fiber reinforced polymer (FRP) in strengthening reinforced concrete (RC) structures is FRP premature debonding. Anchoring FRP materials to concrete has become associated with most of the strengthening techniques. One of the anchoring techniques is using handmade anchors made from FRP materials. In previous studies, most FRP anchors were made from rolling pre-cut FRP sheets and had short embedment (mm) as they were used for flexural or shear strengthening of RC beams. In the present study, FRP anchors were made from carbon fiber reinforced polymer (CFRP) ropes and had long embedment to be used ...

Comparison Of Pre-Intervention Idi Results From Stem And Non-Stem Undergraduate Students, Anne M. Lucietto, Liza Russell

Journal of Global Education and Research

The emphasis on intercultural competence is more prevalent in STEM (Science, Technology, Engineering and Mathematics) majors as the world shifts towards a more globalized economy. When entering higher education, students have differing levels of cultural interaction due to varying peer interaction, family experiences, international travel, and social media experiences. The Intercultural Development Inventory (IDI) has been used to develop an understanding of how students view others and the level of skills they have to interact and adapt to other cultures. Using published data focused on pre-intervention assessment, researchers compared it to data obtained from STEM students preparing for an international ...

Fate Of Pharmaceuticals And Personal Care Products In Duckweed And Waste Activated Sludge Under Aerobic And Anaerobic Solids Stabilization Conditions, Kwame Tweneboah Duodu

All Graduate Theses and Dissertations

Twelve commonly used pharmaceuticals and personal care products (PPCPs)(acetaminophen, β-Estradiol, caffeine, carbamazepine, DEET, estrone, gemfibrozil, triclosan, TCEP, sulfamethoxazole, progesterone, fluoxetine) were investigated to determine their fate in biosolids. These compounds were selected due to their wide usage, and varying properties, that makes them representative of many other PPCPs.

Commonly used PPCPs (caffeine commonly found in tea, coffee, chocolate and soda, the pain reliever acetaminophen, and the pesticide DEET) were detected in high amounts in the influent of the Hyrum WWTP and Wellsville sewage lagoons. Although conventional WWTPs are not designed to remove PPCPs from wastewater, some PPCPs, such as ...

Near Net Shape Fabrication Of Anisotropic Fe-6.5%Si Soft Magnetic Materials, Gaoyuan Ouyang, Brandt Jensen, Wei Tang, Jordan Schlagel, Benjamin Hilliard, Chaochao Pan, Baozhi Cui, Kevin W. Dennis, David C. Jiles, Todd Monson, Iver E. Anderson, Matthew J. Kramer, Jun Cui

Electrical and Computer Engineering Publications

Efficient and cost-effective soft magnetic materials (SMMs) are essential for accelerating the adoption of electric vehicles and the sustainable growth of renewable electricity. While amorphous and nanocrystalline SMMs offer remarkably low magnetic losses, their poor mechanical properties, limited availability in size and shape (particularly ribbon widths), and high cost prevent them from widespread industrial application. Here, we show that ductile Fe-6.5%Si 2-D flakes could be used as building blocks for making high performance bulk SMMs. This approach bypasses the brittleness problem and creates a new morphology and a new fabrication method for the SMMs with improved energy efficiency ...

Formal Verification Of The Adversarial Robustness Property Of Deep Neural Networks Through Dimension Reduction Heuristics, Refutation-Based Abstraction, And Partitioning, Joshua Smith

All Graduate Theses and Dissertations

Neural networks are tools that are often used to perform functions such as object recognition in images, speech-to-text, and general data classification. Because neural networks have been successful at approximating these functions that are difficult to explicitly write, they are seeing increased usage in fields such as autonomous driving, airplane collision avoidance systems, and other safety-critical applications. Due to the risks involved with safety-critical systems, it is important to provide guarantees about the networks performance under certain conditions. As an example, it is critically important that self driving cars with neural network based vision systems correctly identify pedestrians 100% of ...

Soft-Switched Resonant Dc-Dc Converter In Underwater Dc Power Distribution Network, Tarak Saha

All Graduate Theses and Dissertations

Power distribution with DC source is advantageous over its AC counterpart in long distance distribution network due to the absence of effects of reactive components. Long distance power distribution with traditional voltage source suffers from drop in voltage over the length of the cable due to its impedance and forces the converters in the network to be over-designed with higher power rating than needed. In underwater power distribution network such as ocean observatory, marine sensors on the sea-bed etc., power conversion modules are situated at a distance far away from the shore, ranging from tens of kilometers to hundreds of ...