ผลกระทบจากกรรมวิธีทางความร้อนในการฟื้นฟูโครงสร้างจุลภาคในโลหะผสมพิเศษเนื้อพื้นนิกเกิลที่ได้จากการหล่อและผ่านการให้ความร้อนมาเป็นระยะเวลานาน,
2020
คณะวิศวกรรมศาสตร์
ผลกระทบจากกรรมวิธีทางความร้อนในการฟื้นฟูโครงสร้างจุลภาคในโลหะผสมพิเศษเนื้อพื้นนิกเกิลที่ได้จากการหล่อและผ่านการให้ความร้อนมาเป็นระยะเวลานาน, วรา วัชรถานนท์
Chulalongkorn University Theses and Dissertations (Chula ETD)
งานวิจัยนี้ได้ทำการศึกษาและประเมินผลของการทำกรรมวิธีทางความร้อน ซึ่งประกอบด้วยการทำละลายที่อุณหภูมิ 1175 องศาเซลเซียส เป็นเวลา 4 ชั่วโมง แล้วปล่อยให้เย็นตัวในอากาศ และการบ่มแข็งที่อุณหภูมิ 845 องศาเซลเซียส เป็นเวลา 24 ชั่วโมง แล้วปล่อยให้เย็นตัวในอากาศ เพื่อปรับปรุงและฟื้นฟูโครงสร้างจุลภาคในโลหะผสมพิเศษเนื้อพื้นนิกเกิลเกรดจีทีดี-111 ที่มีการเติมธาตุอะลูมิเนียม, นิกเกิล และ/หรือโคบอลต์เพิ่มเติม หลังจากผ่านการจำลองการใช้งานจริงที่อุณหภูมิ 900 องศาเซลเซียส และ 1000 องศาเซลเซียส เป็นเวลา 400 ชั่วโมง พบว่าการทำกรรมวิธีทางความร้อนด้วยเงื่อนไขนี้เหมาะสมกับชิ้นงานที่ผ่านการจำลองการใช้งานจริงที่อุณหภูมิ 900 องศาเซลเซียส แต่โครงสร้างจุลภาคที่เกิดขึ้นยังไม่สามารถกลับคืนสู่สภาพเดิมได้ทั้งหมด เมื่อเปรียบเทียบกับโครงสร้างจุลภาคของชิ้นงานดั้งเดิมที่ยังไม่ผ่านการจำลองการใช้งานจริงจากงานวิจัยก่อนหน้านี้ ซึ่งแสดงให้เห็นว่าอุณหภูมิ และ/หรือเวลาที่ใช้ในการทำละลายยังไม่มากเพียงพอต่อการละลายอนุภาคแกมมาไพรม์แบบหยาบให้กลับสู่เนื้อพื้นแกมมาได้ สำหรับแนวโน้มของการเติมธาตุผสมทั้งสามต่อขนาดของอนุภาคแกมมาไพรม์และสัดส่วนเชิงพื้นที่ของเฟสแกมมาไพรม์ที่เกิดขึ้นหลังจากการทำกรรมวิธีทางความร้อน มีความใกล้เคียงกับผลที่ได้จากชิ้นงานดั้งเดิมมาก แต่อย่างไรก็ตามค่าต่าง ๆ ที่ได้จากการวิเคราะห์ด้วยภาพถ่าย โดยเฉพาะอย่างยิ่งขนาดของอนุภาคแกมมาไพรม์มีค่าน้อยกว่าชิ้นงานดั้งเดิม
Ethical Decision Making Behind The Wheel – A Driving Simulator Study,
2020
Old Dominion University
Ethical Decision Making Behind The Wheel – A Driving Simulator Study, Siby Samuel, Sarah Yahoodik, Yusuke Yamani, Krishna Valluru, Donald L. Fisher
Psychology Faculty Publications
Over the past several years, there has been considerable debate surrounding ethical decision making in situations resulting in inevitable casualties. Given enough time and all other things being equal, studies show that drivers will typically decide to strike the fewest number of pedestrians in scenarios where there is a choice between striking several versus one or no pedestrians. However, it is unclear whether drivers behave similarly under situations of time pressure. In our experiment in a driving simulator, 32 drivers were given up to 2 s to decide which group of pedestrians to avoid among groups of larger (5) or …
The Rise, Fall, And Repair Of Trust For Automated Driving Systems,
2020
Old Dominion University
The Rise, Fall, And Repair Of Trust For Automated Driving Systems, Scott Mishler, Jing Chen
Psychology Faculty Publications
The purpose of this study was to investigate how human driver's trust in the automated driving system is built over time and affected by automation failure. The study expanded trust development over time by measuring trust after a practice demonstration ofthe system capabilities and after each of seven unique, sequential drives. The automation performed perfectly on six of the seven drives but made one of three different responses to a critical hazard event in the fourth drive. Depending on the error-type condition, the automation either perfectly avoided the hazard (no error), issued a takeover request (TOR), or failed to notice …
Investigation Of Urea Decomposition And Deposit Formation In Diesel Exhaust After-Treatment System,
2020
Missouri University of Science and Technology
Investigation Of Urea Decomposition And Deposit Formation In Diesel Exhaust After-Treatment System, Anand Alembath
Doctoral Dissertations
“Urea-selective catalytic reduction (SCR) system has proved to be an effective solution to reduce NOx emissions in commercial vehicle (CV) diesel engines. A significant challenge in urea injection is to comprehend its decomposition chemistry that leads to formation of undesired deposits in the exhaust system unit. Due to complex interaction of multi-phase fluid flow and transport processes, significant uncertainty is associated with the identification of interacting factors that control the deposit initiation and its growth. To meet the future ultra-low NOx emissions and to deliver ammonia without deposit formation, there is an imminent need to develop the urea-SCR …
Quantitative Performance Assessment Of Lidar-Based Vehicle Contour Estimation Algorithms For Integrated Vehicle Safety Applications,
2020
Georgia Southern University
Quantitative Performance Assessment Of Lidar-Based Vehicle Contour Estimation Algorithms For Integrated Vehicle Safety Applications, David M. Mothershed
College of Graduate Studies: Theses & Dissertations
Many nations and organizations are committing to achieving the goal of `Vision Zero' and eliminate road traffic related deaths around the world. Industry continues to develop integrated safety systems to make vehicles safer, smarter and more capable in safety critical scenarios. Passive safety systems are now focusing on pre-crash deployment of restraint systems to better protect vehicle passengers. Current commonly used bounding box methods for shape estimation of crash partners lack the fidelity required for edge case collision detection and advanced crash modeling. This research presents a novel algorithm for robust and accurate contour estimation of opposing vehicles. The presented …
Route Planning For Long-Term Robotics Missions,
2020
WVU
Route Planning For Long-Term Robotics Missions, Christopher Alexander Arend Tatsch
Graduate Theses, Dissertations, and Problem Reports (ETD)
Many future robotic applications such as the operation in large uncertain environment depend on a more autonomous robot. The robotics long term autonomy presents challenges on how to plan and schedule goal locations across multiple days of mission duration. This is an NP-hard problem that is infeasible to solve for an optimal solution due to the large number of vertices to visit. In some cases the robot hardware constraints also adds the requirement to return to a charging station multiple times in a long term mission. The uncertainties in the robot model and environment require the robot planner to account …
An Examination To Pathways Powering Car Using Clean Energy,
2020
West Virginia University
An Examination To Pathways Powering Car Using Clean Energy, Marina Miranda
Graduate Theses, Dissertations, and Problem Reports (ETD)
Traditional vehicles powered by internal combustion engines contribute significantly to increasing emissions of greenhouses gasses (GHG). There has been increasing interest in powering vehicles using green energy include using electricity produced by wind turbine and solar panel. The green electricity can be used to directly charge the Battery Electric Vehicles (BEV), or producing hydrogen as fuel for Fuel Cell Electric Vehicles (FCEV) by converting electrical energy to hydrogen (H2) through water electrolysis. The low energy density H2 produced can be stored on board as either compressed H2 or liquefied H2.
This research examines the …
Investigation Of Particle Measurement In Different Dilution Ratios With Gasoline Direct Injection And Port Fuel Injection,
2020
West Virginia University
Investigation Of Particle Measurement In Different Dilution Ratios With Gasoline Direct Injection And Port Fuel Injection, John Adam Phillips
Graduate Theses, Dissertations, and Problem Reports (ETD)
Ambient air quality has been a concern in the United States since the mid-1900’s, forcing legislations like the Air Pollution Control Act and Clean Air Act necessary to bring focus on air pollution and quality. The Environmental Protection Agency (EPA) continues to update the requirements for more efficient vehicles and emissions sampling methods. Today the EPA has implemented regulations on modern spark ignited engines without any major focus on the type of injection technologies being used. While particle matter (PM) is a requirement to measure for a vehicle certification, more research should focus on the particle number (PN) measurements that …
Implementation Of Radial Basis Function Artificial Neural Network Into An Adaptive Equivalent Consumption Minimization Strategy For Optimized Control Of A Hybrid Electric Vehicle,
2020
West Virginia University
Implementation Of Radial Basis Function Artificial Neural Network Into An Adaptive Equivalent Consumption Minimization Strategy For Optimized Control Of A Hybrid Electric Vehicle, Thomas P. Harris
Graduate Theses, Dissertations, and Problem Reports (ETD)
Continued increases in the emission of greenhouse gases by passenger vehicles has accelerated the production of hybrid electric vehicles. With this increase in production, there has been a parallel demand for continuously improving strategies of hybrid electric vehicle control. The goal of an ideal control strategy is to maximize fuel economy while minimizing emissions. The design and implementation of an optimized control strategy is a complex challenge. Methods exist by which the globally optimal control strategy may be found. However, these methods are not applicable in real-world driving applications since these methods require a priori knowledge of the upcoming drive …
Tracked Vehicle Physics-Based Energy Modelling And Series Hybrid System Optimisation For The Bradley Fighting Vehicle,
2019
Air Force Institute of Technology
Tracked Vehicle Physics-Based Energy Modelling And Series Hybrid System Optimisation For The Bradley Fighting Vehicle, Travis E. Mcwhirter, Torrey J. Wagner, John E. Stubbs, Denise M. Rizzo, Jada B. Williams
Faculty Publications
A hybrid electric tracked ground vehicle (HETGV) can reduce military fuel usage, however a review of current tools determined they are not suitable to estimate HEGTV performance. Based on topographic data and vehicle attributes, this research developed an estimation tool by creating a model to determine tracked vehicle energy and fuel requirements, and using these requirements, created a HEGTV cost and performance optimisation for the Bradley fighting vehicle energy system. The optimised design reduced fuel consumption by 15%, and met the vehicle's peak power requirement of 365 kW, with a recommended configuration of a 135 kW generator and 100 kWh …
Sensor Emulation With Physiolocal Data In Immersive Virtual Reality Driving Simulator,
2019
Chapman University
Sensor Emulation With Physiolocal Data In Immersive Virtual Reality Driving Simulator, Jungsu Pak, Oliver Mathias, Ariane Guirguis, Uri Maoz
Student Scholar Symposium Abstracts and Posters
Can we enhance the safety and comfort of AVs by training AVs with physiological data of human drivers? We will train and compare AV algorithm with/without physiological data.
Self-Driving Toy Car Using Deep Learning,
2019
CUNY New York City College of Technology
Self-Driving Toy Car Using Deep Learning, Fahim Ahmed, Suleyman Turac, Mubtasem Ali
Publications and Research
Our research focuses on building a student affordable platform for scale model self-driving cars. The goal of this project is to explore current developments of Open Source hardware and software to build a low-cost platform consisting of the car chassis/framework, sensors, and software for the autopilot. Our research will allow other students with low budget to enter into the world of Deep Learning, self-driving cars, and autonomous cars racing competitions.
Lightweight Racing Suspension,
2019
Western Michigan University
Lightweight Racing Suspension, Colin Haynes
Honors Theses
The purpose of this senior design project is to design and optimize the new suspension system for Western Michigan University’s 2020 solar car. The current solar car was 43% heavier than the average solar car, and was the heaviest single occupant vehicle competing in the American Solar Challenge. The scope of the project is to reduce the weight as much as possible from the old 2016 suspension. The new suspension weighed 34.91 lbs less than the 2016 suspension system while maintaining a minimum factor of safety greater than 1.5, compliant with American Solar Challenge regulations. The design consists of a …
The Challenges Facing Autonomous Vehicles And The Progress In Addressing Them,
2019
Liberty University
The Challenges Facing Autonomous Vehicles And The Progress In Addressing Them, Garrett Johnson
Senior Honors Theses
Autonomous vehicles are an emerging technology that faces challenges, both technical and socioeconomic. This paper first addresses specific technical challenges, such as parsing visual data, communicating with other entities, and making decisions based on environmental knowledge. The technical challenges are to be addressed by the fields of image processing, Vehicle to Everything Communication (V2X), and decision-making systems. Non-technical challenges such as ethical decision making, social acceptance, and economic pushback are also discussed. Ethical decision making is discussed in the framework of deontology vs utilitarianism, while social acceptance of utilitarian autonomous vehicles is also investigated. Last, the likely economic impact is …
Autonomous Vehicle Interior Design,
2019
Western Michigan University
Autonomous Vehicle Interior Design, Nathaniel Torchalski
Honors Theses
As technology in the automotive industry advances and self-driving vehicles become more commercially available, design concepts for their interiors must also be developed. Research was conducted on automotive design and autonomous technology, drawing inspiration from production and concept vehicles of the past, present, and future. A survey was conducted to gauge possible consumer needs. Hand sketches, small-scale models, and a Computer-Aided Design (CAD) model was produced. A full-size model was developed using various material-forming processes, including 3D printing, woodworking, clay sculpting, and metal machining. The interior was designed with consideration for safety, comfort, and technological advancements to satisfy the needs …
Autonomous Vehicle Interior Design,
2019
Western Michigan University
Autonomous Vehicle Interior Design, Luis Vargas
Honors Theses
As technology in the automotive industry advances and self-driving vehicles become more commercially available, design concepts for their interiors must also be developed. Research was conducted on automotive design and autonomous technology, drawing inspiration from production and concept vehicles of the past, present, and future. A survey was conducted to gauge possible consumer needs. Hand sketches, small-scale models, and a Computer-Aided Design (CAD) model was produced. A full-size model was developed using various material-forming processes, including 3D printing, woodworking, clay sculpting, and metal machining. The interior was designed with consideration for safety, comfort, and technological advancements to satisfy the needs …
Radio Direction Finding Using Pseudo-Doppler For Uav-Based Animal Tracking,
2019
Grand Valley State University
Radio Direction Finding Using Pseudo-Doppler For Uav-Based Animal Tracking, Anup Karki
Masters Theses
Radio Direction Finding (RDF) is commonly used for low cost tracking and navigation systems. However, for a low cost application and mobility, the design constraints are highly limited. Pseudo Doppler (PD) can improve RDF capabilities without being cost prohibitive. This work entails the analysis of PD RDF and its potential use for Unmanned Aerial Vehicles (UAV) that are currently employed in wildlife research animal tracking. PD is based on the doppler effect or doppler shift. The doppler effect works like a frequency modulator that increases or decreases the observed frequency depending on whether a signal source is approaching or receding …
Multirotor Uas Sense And Avoid With Sensor Fusion,
2019
Embry-Riddle Aeronautical University
Multirotor Uas Sense And Avoid With Sensor Fusion, Jonathan Mark Buchholz
Doctoral Dissertations and Master's Theses
In this thesis, the key concepts of independent autonomous Unmanned Aircraft Systems (UAS) are explored including obstacle detection, dynamic obstacle state estimation, and avoidance strategy. This area is explored in pursuit of determining the viability of UAS Sense and Avoid (SAA) in static and dynamic operational environments. This exploration is driven by dynamic simulation and post-processing of real-world data. A sensor suite comprised of a 3D Light Detection and Ranging (LIDAR) sensor, visual camera, and 9 Degree of Freedom (DOF) Inertial Measurement Unit (IMU) was found to be beneficial to autonomous UAS SAA in urban environments. Promising results are based …
Development Of Mbd Model And Analysis Methodology For Vehicle Design,
2019
University of New Mexico
Development Of Mbd Model And Analysis Methodology For Vehicle Design, Alfonso Christopher Ponce
Mechanical Engineering ETDs
This thesis is to provide a new methodology that considers the effects the chassis applies during dynamic load to the suspension and the handling characteristics of a road course vehicle. A methodology in which is described in detail as well as an applied demonstration where literature before this thesis, lacks in replication and serves to establish a basis for multi-body dynamic analysis in this area. Two models to be created, rigid and flexible, and to compare each other to study the effects the chassis torsional stiffness has during load transfer. Ultimately, to assist in the design of a vehicle that …
Gusmerotti, Joseph J., Collection, 1919-1968,
2019
Pittsburg State University
Gusmerotti, Joseph J., Collection, 1919-1968, Special Collections, Leonard H. Axe Library
Finding Aids
Joseph J. Gusmerotti was born to Joseph John and Margarita Malacarne Gusmerotti Sr. in Chicopee, Kansas on April 23, 1907. After graduating from Crawford Community High School in 1926, he moved to Detroit, Michigan and was first employed by the Chrysler Corporation as a typist. Gusmerotti was promoted into many areas of packaging, shipping, and exporting at Chrysler during his career. He also studied at the Chrysler Institute of Engineering from 1939-1941. In 1958, Gusmerotti was promoted to Special Assignments Overseas where he would document the operation of international parts warehouses for Chrysler in multiple countries. After working at the …
