MDES, University of Cincinnati, 2013, Design, Architecture, Art and Planning: Design

Aesthetics play a crucial role in a consumer's purchase decision of a vehicle. While creating aesthetically pleasing vehicle designs is already challenging for automakers, it is even more challenging to do so while constantly being in the cutting edge of design, generating new and fresh aesthetics that allow them to differentiate themselves from other companies and stand out. All those iterations seeking new aesthetics make designers take risks, generating sophisticated and provocative designs that challenge conventional aesthetic features. In addition, design modifications to accommodate manufacturing criteria can potentially disrupt the original design concept. This can result in a controversial design, communicating negative semantic messages to the consumer. This thesis proposes the use of harmony (where the visual unified whole, in which the sensation that every aesthetic feature belongs together is created) as a crucial variable for generating positive semantic messages. A survey was conducted using vehicle images with different levels of harmony and complexity. These images were rated in a positive-negative semantic scale based on concepts related to a design's communication of quality (price, build quality, and design execution), and performance (safety, driveability, driving performance). Results show the importance of creating and preserving harmonious car designs so that the transmission of positive semantics is achieved, which can contribute to a vehicle's commercial success.

Committee: Peter Chamberlain M.F.A. (Committee Chair); Raphael Zammit (Committee Member) Subjects: Design

Master of Science, The Ohio State University, 2024, Computer Science and Engineering

With the rise of car infotainment systems, the integration of smartphones with in-car displays has become increasingly prevalent. CarPlay, as one of the popular systems, is highly favored by users and is equipped in many vehicles. The Magic Brand Magic Box is an innovative Android-based device designed to interface with a car's CarPlay-enabled USB port, enabling the projection of its own user interface onto the car's display. However, this capability raises significant safety concerns, as it allows activities typically restricted while driving, such as watching videos on car screens. This thesis aims to reverse engineer the Magic Box to understand the mechanisms by which it communicates through the CarPlay interface. By analyzing the device's hardware and software, as well as referencing partial CarPlay protocol documents found online, we seek to uncover the principles behind its functionality and explore potential vulnerabilities in the Apple CarPlay system that may have been exploited. We aim to provide a detailed insight into the process of Android reverse engineering, offering valuable knowledge for researchers and practitioners interested in similar endeavors.

Committee: Keith Redmill (Advisor); Zhiqiang Lin (Advisor) Subjects: Computer Engineering; Computer Science

Master of Science, The Ohio State University, 2013, Mechanical Engineering

The global automotive industry continually strives to develop advanced automotive control systems that can reduce fuel consumption and emissions towards a greener future, while improving efficiencies and enhancing safety and comfort.This effort is collaborative, with not just OEMs and their suppliers working amidst stiff competition and strict regulations, but various research organizations, both independent as well as academic collaborating with these OEMs. As a result of this collaborative effort, there is a huge potential for synergy, but also the possibility of huge disconnects in the process itself. Model-Based System Development methodologies that use simulation models representing the controlled and controlling systems have a very important role to play in today's scenario when developing control systems. For a research organization with strong academic background such as the Center for Automotive Research at The Ohio State University, a comprehensive process for automotive model-based control that encapsulates various practice and standards already in place in the industry can help develop better solutions when collaborating with industry. While systematic and detailed approaches exist already, there are sufficient variations amongst internal approaches and methodologies which calls for a more unified approach that is industry-inspired. This thesis presents a comprehensive process that helps a developer gain an overall perspective to the bigger problem. The proposed methodology starts right at the fundamental opportunity identification phase, and is driven in the early stages by product development methodologies. Systematic approaches towards identifying opportunities, generating concepts and selecting concepts, with a case-study based on the usage of model-based simulations tools to select concepts are presented. With constantly changing requirements in the automotive industry, the need for traceability to the initial requirements has b (open full item for complete abstract)

Committee: Shawn Midlam-Mohler PhD (Advisor); Giorgio Rizzoni PhD (Committee Member); Marcello Canova PhD (Committee Member); Fabio Chiara PhD (Committee Member) Subjects: Automotive Engineering

Master of Science, The Ohio State University, 2007, Graduate School

Committee: Not Provided (Other) Subjects:

Master of Science, The Ohio State University, 2024, Mechanical Engineering

For the past 30 years engineering students at The Center for Automotive Research have been designing, building and racing electric vehicles on the Bonneville Salt Flats. Over the past 2 years, Buckeye Current, a student electric motorcycle team at Ohio State, has focused its efforts on developing a land speed racing (LSR) motorcycle for the under 150kg weight category for the Federation of International Motorcycles (FIM)n LSR records. This document begins with a high level development of the Buckeye Current RW-5 motorcycle and follows with a focus on the powertrain development. The document concludes with a review of the results to date and the future work remaining on the RW-5. The Buckeye Current motorcycles are named RW, in honor of Ryan Williams a former team member who passed away due to a motorcycle accident. The 5 stands for the motorcycle being in the fifth series of bikes the team has produced.

Committee: Giorgio Rizzoni (Advisor); Matilde D'Arpino (Committee Member) Subjects: Automotive Engineering; Mechanical Engineering

Doctor of Business Administration (D.B.A.), Franklin University, 2024, Business Administration

The study used a survey-based design relying on Steger's three-factor Work and Meaning Inventory instrument in the hopes of producing a baseline method to measure work meaning levels within an automotive manufacturing site for operators. Data was collected from operators at the manufacturing research site during shift change with a paper survey, with a 63.6% participation rate. Included within the survey were demographic questions about race, job longevity, and education level. The data was subjected to chi-squared tests and an exploratory factor analysis. The main finding was that Steger's three-factor model collapsed into two factors for the operator population. Greater good motivations remained intact; however, meaning-making through work and positive meaning joined to create one factor called individual motivation. The finding changed the conceptual framework where initially it showed connections greater good motivations to spirituality, meaning making through work to work and company, and positive meaning to personal motivation. The revised framework has the following connections: greater good motivations to spirituality and individual motivations to both work and company and personal motivation. The other findings were that work meaning did not have a relationship with either job longevity or education level. The finding will allow the removal of demographic questions for future surveys with operators. Job longevity and education level had a significant relationship. The finding points the facility toward understanding the connection and developing methods to increase longevity.

Committee: Blake Renner (Committee Chair); Leo Sedlmeyer (Committee Member); Steven Hess (Committee Member) Subjects: Business Administration

Doctor of Philosophy, The Ohio State University, 2024, Electrical and Computer Engineering

The central theme of this dissertation is to explore material interaction with electromagnetic waves in millimeter-wave (mmWave) and terahertz (THz) frequency bands spanning the range from 30 GHz to 3 THz. The implications of these interactions in the context of on-vehicle integration of mmWave automotive radars is discussed. Furthermore, specific mechanisms are exploited for broadband material characterization, and biomedical imaging. First, this research outlines the traditional broadband methods to characterize the electromagnetic properties of isotropic non-magnetic dielectric materials. In mmWave and THz regime, this data is not readily available in many cases. Utilizing established free-space techniques such as terahertz time-domain spectroscopy (THz-TDS) and quasi-optical transmission measurements, this research extracts this data for a diverse range of materials. In particular, we discuss the challenges related to the reliability of the permittivity extraction process in situations where the measurement may not have a high SNR across the bandwidth of interest. We circumvent this problem by cross-validating the data across multiple modalities to ensure consistency. Additionally, for thin dielectric films for which conventional methods fail, this research proposes a novel permittivity extraction technique from calibrated two-port S-parameter measurements of a coplanar waveguide. Interaction of mmWave radar signal with the near zone radome and bumper layers can impair the radar performance through reduction of signal-to-noise ratio and distortion of the pattern. Therefore, towards the goal of a `transparent' radome, the dissertation proposes a novel textured radome design aimed at optimizing transmission efficiency for mmWave automotive radar. Through a strategic optimization based on first-principles, this design exhibits an enhanced signal transmission throughout the entire automotive radar band of 76 – 81 GHz. The optimized design demonstrates an avera (open full item for complete abstract)

Committee: Niru Nahar (Advisor); Kubilay Sertel (Committee Member); Asimina Kiourti (Committee Member); Alebel Arage (Committee Member) Subjects: Electrical Engineering; Electromagnetics

Doctor of Philosophy (Ph.D.), University of Dayton, 2023, Electrical Engineering

Commercial cameras primarily aim to capture visually appealing images for human viewers, often leading to the loss of critical information during the image generation process. However, for machine vision applications, extracting as much data as possible from an image is crucial for effective operation. In the context of autonomous vehicles, cameras serve as vital vision tools, where data captured is processed through object detection algorithms such as YOLO, FasterRCNN, RetinaNet, etc. Hence, it becomes essential to have an object detection algorithm capable of leveraging all available information from camera images to perform effectively under challenging conditions, such as low-light scenarios and the detection of small or distant objects. Traditionally, the establishment and evaluation of most object detection models have been based on common RGB images, which align with human visual perception. However, important details that could be valuable for machine vision tasks often vanish through the image signal processing (ISP) pipeline. To address this limitation, cameras with an RCCB (Red, Clear, Clear, Blue) color format, replacing the green channel with clear, have been introduced in the autonomous driving industry featuring more low-light sensitivity and less noise absorptive; which leads to enhanced object detection quality. This research focuses on training cost-effective object detection models 3 using raw images captured with an RCCB color filter array, while requiring a minimum amount of training data and low computational complexity. The author employs a knowledge distillation method through unsupervised learning to transfer the knowledge from high-performance state-of-the-art object detection models, trained on RGGB (Red, Green, Green, Blue) color filter array images, to operate with high accuracy on RCCB raw images. The results of this study demonstrate the effectiveness of the proposed approach in training object detection models s (open full item for complete abstract)

Committee: Keigo Hirakawa (Committee Chair); Scott McCloskey (Committee Member); Raul Ordonez (Committee Member); Eric Balster (Committee Member) Subjects: Engineering

Master of Arts, The Ohio State University, 2023, Slavic, East European and Eurasian Studies

The full-scale invasion of Ukraine and resulting sanctions against Russia has had an overwhelmingly negative impact on the Russian automobile industry. This has resulted in industry-wide changes, most notably the nationalization of privately-held automakers and an exodus of foreign automakers. This marks the beginning of a new era within the Russian automobile industry that is distinct from the post-Soviet era, which had been characterized by globalization and a highly diversified, competitive market. This new era will be defined by a struggle to overcome the reliance on globalized supply chains, the development of indigenous technologies and processes related to automobile production, and the growing role of the Chinese auto industry in Russia. This piece argues that, since its founding, the Russian automobile industry has relied on foreign technology transfers to facilitate progress, as opposed to long-term investment in domestically developing these technologies. Dating back to the Soviet Union, the automobile has been a symbol used by Russian leaders to show progress towards larger objectives, like industrialization under Stalin or achieving parity with the West under Khrushchev. Using these historical trends and markers as a lens for interpreting events today, this piece argues the automobile industry of today continues to be influenced by the trends of the past, while developing under the unique realities of post-February 24, 2022 Russia.

Committee: Angela Brintlinger (Committee Member); David Hoffmann (Advisor) Subjects: Slavic Studies

Master of Science, The Ohio State University, 2023, Industrial and Systems Engineering

Injection molding is one of the most common and effective manufacturing processes used to produce plastic products and impacts industries around the world. However, injection molding is a complex process that requires careful consideration of several key control variables. These variables and how they are utilized have a great effect on the resulting parts of any particular molding operation. It is vital that the bounds of each control process variable or CPV be analyzed and defined to ensure manufacturing success and produce injected molded parts efficiently and effectively. One such method in which the key CPV of an injection molding operation can be optimized is through the development of a process window. Once developed, operating CPV at values within the boundaries of the window or region will allow a molder to consistently produce parts that comply with the desired performance measures, promoting a stable manufacturing process. Through the use of experimental research, not only was an injection molding process window for one particular molding operation developed but a methodology in which similar windows could be created for other molding operations is also presented. The use of the suggested strategies may allow other molders to develop process windows of their own in a more standardized way and allow them to mold with higher quality standards at increased consistency.

Committee: Jose Castro (Advisor); Allen Yi (Committee Member); Rachmat Mulyana (Advisor) Subjects: Engineering; Industrial Engineering

Master of Science, The Ohio State University, 2020, Mechanical Engineering

The Ohio State EcoCAR team is a student project team at The Ohio State University providing real-world engineering experience and learning opportunities to engineering students. The EcoCAR Mobility Challenge is sponsored by the U.S. Department of Energy, General Motors, and The Mathworks and challenges twelve universities across the United States and Canada to redesign and reengineer a 2019 Chevrolet Blazer into a hybrid-electric vehicle. The goal of the competition is for students to develop and implement technologies to reduce the vehicle's environmental impact while maintaining performance and to enhance the vehicle with connected and automated technologies for a future in the mobility-as-a-service market. The transition from conventional to hybrid vehicle requires the addition of several hybrid powertrain components, including electric motors, power inverters, and a high voltage battery. These new components have thermal cooling requirements and require the integration of a dedicated thermal management system to prevent components from overheating and to maintain optimal operating temperature. This work models the thermal systems of the internal combustion engine and hybrid powertrain components to provide estimates for component temperatures during steady-state operation and predetermined drive cycles. The GT-Suite modeling software package from Gamma Technologies was chosen to model the two thermal systems because of its extensive library of pre-validated automotive grade component models. This library allowed component models to be built quickly and without extensive data collection. The thermal system models were integrated with a full-vehicle model of the OSU EcoCAR team's vehicle in Simulink. This work seeks to provide a reasonable approximation of the integrated thermal systems in the OSU EcoCAR vehicle, with provisions to update and calibrate the model in the future. The model provides both steady-state and drive cycle feedb (open full item for complete abstract)

Committee: Shawn Midlam-Mohler (Advisor); Giorgio Rizzoni (Committee Member) Subjects: Engineering; Mechanical Engineering

Master of Technology Management (MTM), Bowling Green State University, 2020, Technology Management/Engineering Technology

It is no secret automotive manufacturing companies can work inefficiently. Working as one team is critical to efficiency, therefore a need exists to develop a model to implement a one team strategy among automotive manufacturing companies. Within automotive companies, departments may work in silos, thus individuals and departments work toward their own set goals. In order for an organization to function as one team, it is critical to remove silos as they contribute to the inefficiency of the organization. Qualitative method was implemented for the current study as the method is designed to explore and assess things that cannot be summarized numerically. A convenient sample of 19 participants-- all employees holding management, staff, and production roles working for an automotive OEM or a tier-one supplier of an OEM was sampled via interviews. Results were analyzed using systematic coding. The responses to each question were broken down into groups that consisted of the company the participant works for, years of service, and the position they currently hold at their company. Analyzing the data by the company each participant works for and the position held at their company were equally important in how the questions were answered. Management at automotive companies rely on working with other departments more than staff members or production employees. This notion was supported in the results. Some automotive companies do have some of the components of a one team mission, but none of the companies in this research fully have a one team mission implemented. In conclusion, not one organization represented in this study had a one team mission fully implemented. Implementing a one team mission starts at the management level. Management needs to implement objectives and goals that require all departments to collaborate for the ultimate goals and vision for the company. All departments should collaborate to ensure all goals are set for the benefit of the c (open full item for complete abstract)

Committee: Christopher Kluse Dr. (Advisor); Mohammad Mayyas Dr. (Committee Member) Subjects: Automotive Materials

Master of Science, Miami University, 2020, Mechanical and Manufacturing Engineering

Carbon fiber reinforced polymer (CFRP) composites are becoming more relevant in aerospace and automotive applications due to increased strength-to-weight ratio, corrosive resistance and performance under extreme conditions over traditional polymer materials. Research in 3D printing of these CFRP composites is gaining traction due to the modification of the internal matrix and fill density per application. This allows the design of a part that is not 100% dense. However, 3D printing leads to inconsistent dimensions and an unacceptable surface finish. This research aims at improving machining response of CFRP composites by observing the response of three different sustainable machining practices: dry, minimum quantity lubrication (MQL) and cryogenic cooling. The use of MQL lubricated the tool/workpiece interface and allowed the tool to shear through the composite material, rather than upset. Cryogenic cooling method, on the other hand, reduced the tool temperature and used the process of hardening the surface of the composite. The surface hardening reduces the extrusion and upsetting action of cutting tool on the polymer matrix, resulting in significant improvement. Due to this mechanism, cryogenic cooling promoted a better machining response by decreasing tool wear, eliminating burr formation and providing the best surface finish out of the three machining practices.

Committee: Muhammad Jahan Dr. (Advisor); Ben Carter Hamilton Dr. (Committee Member); Zhijiang (Justin) Ye Dr. (Committee Member) Subjects: Aerospace Engineering; Automotive Engineering; Automotive Materials; Materials Science; Mechanical Engineering; Polymers

Master of Science in Cyber Security (M.S.C.S.), Wright State University, 2019, Computer Engineering

In the growing world of cybersecurity, being able to map and analyze how software and hardware interact is key to understanding and protecting critical embedded systems like the Engine Control Unit (ECU). The aim of our research is to use our understanding of the ECU's control flow attained through manual analysis to automatically map and identify sensor functions found within the ECU. We seek to do this by generating unique sets of feature vectors for every function within the binary file of a car ECU, and then using those feature sets to locate functions within each binary similar to their corresponding control function. This feature algorithm is used to locate candidate functions that utilize a sensor, and then examine the structure of each of these candidate functions to approximate the memory-mapped IO address of each sensor. This method was able to successfully locate 95\% of all candidate functions and was able to successfully recover 100\% of likely sensor addresses within each of those functions.

Committee: Junjie Zhang Ph.D. (Advisor); Jack Jean Ph.D. (Committee Member); Meilin Liu Ph.D. (Committee Member) Subjects: Computer Engineering; Computer Science

Master of Arts (M.A.), University of Dayton, 2019, English

Very few scholars have examined how women adapt to a leadership role in a primarily male-dominated workplace. Those who do study women's communication in the workplace often do so in comparison to male counterparts. This project, however, aims to examine solely the style of communication, specifically in email communication, among women in leadership positions. Because language style and perceptions of effectiveness imply rhetorical concerns, it is important to understand not only how women leaders are perceived by others but also how these women perceive themselves as workplace communicators. To discover how women in leadership write and what affects their writing, this research applies the methodology of Royster & Kirsch's Feminist Rhetorical Practice, employing a mixed approach between a case study and autoethnography. The research includes four female participants' email communication and interview results from two of the four participants. The results show that the women's realization of influence from male-dominated workplace is through dialogue. That said, the way women in leadership write depends very much on the end goal of the email, the audience, and the relationship between the sender and the recipient. Future research will be necessary to include more participants in the interview process because the dialogue with the women provides more contextual background and thought process to the textual analysis.

Committee: Patrick Thomas (Advisor); Margaret Strain (Committee Member) Subjects: Communication; Rhetoric; Womens Studies

Master of Science, The Ohio State University, 2019, Mechanical Engineering

The Ohio State University has participated in Advanced Vehicle Technology Competitions (AVTCs) for over 21 years. These competitions challenge universities throughout North American to reengineer a vehicle with technologies advancing the automotive market. This work explores the use of systems engineering practices during the eleventh iteration of the AVTC program, the EcoCAR 3 competition. The document presents the systems engineering process and two case studies implementing the process. The systems engineering process presented is a simplification of the “Vee” and “Agile” systems engineering processes applicable to a high-cost, long-term, prototype program. The process is broken into five stages: Concept Creation and Refinement, Architecture and Metric Creation, Development, Verification, and Assessment and Validation. The two case studies present uses of the process at a low-level applied to a software algorithm and at a high-level applied to an entire project. The first case study reviews the development of a diagnostic algorithm for the automated manual transmission used in the EcoCAR 3 competition vehicle. The team automated a manual transmission and needed an algorithm to detect and isolate failures to components of the transmission system. The concept and requirements for this algorithm are detailed in Chapter 1 before continuing to discussion of development and testing. Testing of the algorithm utilizes a model-based environment. The second case study reviews the construction and execution of a behavioral study project evaluating driver performance during a vehicle to driver transition of an SAE Level 3 partially automated vehicle. Research was conducted in a model-based environment, simulating an autonomous vehicle by utilizing a driving simulator. The project requirements are derived from the applicable parent requirements, implemented, and tested.

Committee: Shawn Midlam-Mohler Ph.D. (Advisor); Giorgio Rizzoni Ph.D. (Advisor); Lisa Fiorentini Ph.D. (Committee Member); Sandra Metzler Ph.D. (Committee Member) Subjects: Electrical Engineering; Engineering; Mechanical Engineering

Master of Science, The Ohio State University, 2019, Aero/Astro Engineering

This thesis details aeroelastic response prediction of hoods on automobiles in the wake of a leading vehicle. Such conditions can lead to significant hood vibration due to the unsteady loads caused by vortex shedding. A primary focus is the sensitivity of the aeroelastic response to the aerodynamic modeling fidelity. This is assessed by considering both Reynolds-Averaged Navier-Stokes (RANS) and Detached Eddy Simulation (DES) flow models. The aeroelastic analysis is carried out by coupling a commercial computational Fluid dynamics (CFD) solver (StarCCM+) to a commercial computational structural dynamics (CSD) solver (Abaqus). Two different configurations are considered: 1) sedan-sedan and 2) sedan-SUV. This enables the consideration of both varied geometry and structural stiffness on the aeroelastic response. Comparisons between RANS and DES emphasize the importance of turbulence modeling fidelity in order to capture the unsteadiness of the flow and the vibration response of the hood. These comparisons include analysis of the lift forces, pressure loads on the hood, and Power Spectral Density Analysis (PSD) of the flow in the region between the two vehicles. As expected, DES predicts higher frequency content and significantly higher turbulence levels than RANS. Both the sedan and SUV hoods are sensitive to the turbulent fluctuations predicted by DES. The increased levels of turbulence result in up to 40 - 60% higher maximum peak to peak deformation and the excitation of a torsional mode of the hood for the sedan-sedan case. For the more flexible hood configuration (sedan - SUV), these differences are even higher, with maximum peak to peak deformations of up to 17 – 71% higher than the RANS solution.

Committee: Jack McNamara PhD (Advisor); Austin Kimbrell (Committee Member); Mei Zhuang PhD (Committee Member) Subjects: Aerospace Engineering; Automotive Engineering; Engineering

Doctor of Philosophy, The Ohio State University, 2018, Mechanical Engineering

Scuffing, also known as scoring, is a heat-induced failure mode of lubricated contacts. Any lubricated contact that is subject to high pressures and high sliding velocities is especially susceptible to scuffing failures if it generates more heat than the amount that can be removed from it by the lubricant. Most of the gear contacts in high-speed aerospace gearboxes as well as electric vehicle transmissions are prone to stuffing. In this study, the scuffing performance of such contacts in combined rolling and sliding are studied in an effort to develop a hybrid methodology for establishing scuffing limits. This hybrid methodology relies on two essential components: (i) tightly controlled scuffing experiments where key contact parameters are measured in the onset of scuffing, and (ii) thermal elastohydrodynamic modeling of the same contacts. On the experimental side, a new two-disk tribometer is developed to conduct scuffing and traction tests at operating conditions emulating intended applications. Companion methodologies are devised to determine the contact traction from measured spindle torques by removing bearing drags, and to quantify bulk temperatures of contacting disks based on two independent surface temperature measurement techniques. This tribometer is employed to perform families of scuffing tests intended for aerospace and automotive applications. Scuffing protocols consisting of multiple load stages are designed for both aerospace and automotive applications, and capabilities to suspend a test in the onset of scuffing are implemented. Various scuffing criteria available in the literature are evaluated to conclude they are not sufficient to describe the measured scuffing behavior. On the modeling side, an existing state-of-the-art rough-surface, thermal elastohydrodynamic lubrication model is modified by (i) implementing the modified-Carreau-Yasuda model in order to capture the shear-thinning behavior at elevated pressures accurately, (ii) incorpora (open full item for complete abstract)

Committee: Ahmet Kahraman Dr. (Advisor); Vishnu Baba Sundaresan Dr. (Committee Member); David Talbot Dr. (Committee Member) Subjects: Mechanical Engineering

Doctor of Philosophy, The Ohio State University, 2018, Materials Science and Engineering

Magnesium has a phenomenal specific strength, making it ideal for use in the automotive and aerospace industries, but its poor room temperature ductility limits its use to cast parts. The poor ductility is a result of the highly anisotropic plastic deformation response of the HCP crystal system. The Peierls stress for non-basal deformation modes is several times larger than for basal slip, in some cases as much as an order of magnitude larger. As a result of this discrepancy, non-basal deformation modes are unlikely to be activated during arbitrary loading in a polycrystalline sample. The ultimate goals of this study are to examine the deformation modes to gain a better understanding of the mechanisms involved with ductile failure in Mg, and to provide a mechanistic explanation for the improvement in ductility seen with the addition of rare earth (RE) solutes. To that end, we first model the cross-slip behavior of screw (c + a) dislocations between first- and second-order pyramidal planes. In addition to determining the core energy and the critical resolved shear stress (CRSS) for the dislocations, we also identify a metastable compact, undissociated dislocation core as a possible transition state for cross slip between pyramidal I and pyramidal II planes. Next we calculate the interaction energy between a (c + a) edge dislocation and a solute substituted on some atomic site near the dislocation, and then use the calculated interaction energy to apply a solid solution strengthening model to determine the change in the CRSS for the glide of edge $\ca$ dislocations along the pyramidal II plane. We also calculated the change in CRSS for the basal dislocation and compared. From the solutes effect on the CRSS values, we find that the addition of yttrium solutes is not expected to prevent (c + a) slip as hard as it prevented basal slip, effectively increasing (c + a) activation relative to basal. The other major result from this study is that we show how the direct (open full item for complete abstract)

Committee: Maryam Ghazisaeidi (Advisor); Wolfgang Windl (Committee Member); Michael Mills (Committee Member) Subjects: Materials Science

MFA, Kent State University, 2018, College of the Arts / School of Art

I make sculptures that are optimistic and simple in form. They draw on cues from automotive design to examine how form can be seductive and have a sense of cleverness . Like cars, their pristine craftsmanship provides a preciousness that borders on fetishization. My approach to form has been heavily influenced by automotive design. Specifically the designs of Marcello Gandini while he was employed by the Bertone coach builder in Italy. He is partially responsible for the Italian wedge style found in many 1970's and 1980's luxury sports car designs. He uses simple lines and elongated or shortened proportions to create complex forms, this is a jumping off point for my use of geometric forms and clean planes. These qualities came as a result of his architectural approach to design, where assembly and mechanics are paramount and body styling is a response to the mechanical and rigid inner workings. He styled cars to be assembled with flat planes to create angles and volume. These aspects of the cars he designed have a spirit of progressiveness as they appear to be space-aged. I want my work to create a similar experience of approaching the object and being drawn to examine it from all angles because of its details and strangeness.

Committee: Peter Johnson (Advisor); Gianna Commito (Committee Member); Jonas Sebura (Committee Member) Subjects: Fine Arts