Engineering Commons^™

Simulation And Design Tool For Supermileage Vehicle (Smv) Club Final Design Report, Kimberly Kodama, Sung Ho An, Justice Aragon

Mechanical Engineering

The purpose of this project is to create a sensitivities tool and start an optimization tool to assist the Cal Poly SMV Team in designing their vehicle, developing a driving strategy for competition, and becoming a contender in endurance events. The development of a user-friendly vehicle simulation and design tool was proposed by Professor Joseph Mello who is the club’s advisor. The SMV Team competes in endurance events such as the Supermileage competition or the Shell Eco-marathon with the goal of achieving the best mileage possible.

This report will present the research that has been conducted to understand and define …

Integration Concept Of Injection, Forming And Foaming: A Practical Approach To Manufacture Hybrid Structures, Saeed Farahani, Sai Aditya Pradeep, Srikanth Pilla

Publications

Motivated by the concept of the integrative production systems, the hybrid process of polymer injection molding and sheet metal forming, known as polymer injection forming (PIF), has been introduced to manufacture sheet metal-polymer components in a single operation. Despite the wide potential application of this technology, its implementation in actual industrial production has been hindered due to several challenges; a thick layer of polymer where there is deep deformation, non-uniform deformation due to pressure loss and the opposite phenomena of shrinkage and springback. To mitigate these practical issues, the novel idea of integrating supercritical fluid (Sc.F.) technology with the PIF …

Internal Combustion Engine, Philippe D. Habets, Sam S. Flood, Paing Htet Lin, Jason Wu, Ricardo Cuevas

Mechanical Engineering

The goal of this project is to modify a Honda GX35 engine to improve its fuel efficiency and maximize its competitiveness in the Shell Eco-marathon competitions. This competition has tight restrictions on the type of fuel used to power the engine, but otherwise has very few rules limiting the type of modifications which may be made. Our primary goals are to maximize volumetric efficiency and maintain an efficient operating temperature. Future work might pursue more advanced technologies such as pseudo-atkinson cycle operation.

Pedestrian Navigation Using Artificial Neural Networks And Classical Filtering Techniques, David J. Ellis

Theses and Dissertations

The objective of this thesis is to explore the improvements achieved through using classical filtering methods with Artificial Neural Network (ANN) for pedestrian navigation techniques. ANN have been improving dramatically in their ability to approximate various functions. These neural network solutions have been able to surpass many classical navigation techniques. However, research using ANN to solve problems appears to be solely focused on the ability of neural networks alone. The combination of ANN with classical filtering methods has the potential to bring beneficial aspects of both techniques to increase accuracy in many different applications. Pedestrian navigation is used as a …

Techniques To Solve Decision-Making Problems, Dilnoz Tulkunovna Muhamediyeva, Bekmuratov Fayzievich Tulkun

Chemical Technology, Control and Management

Solving decision-making problems in poorly formalized systems only with the help of deterministic and probabilistic methods is insufficient. To do this, it is necessary to widely apply the methods of hybrid intelligent systems and, especially, the methods of “soft” calculations (SoftCalculation, SoftComputing) and the directions of ComputationalIntelligence — intelligent computing technologies that are emerging on this theoretical and methodological base. An immune - fuzzy algorithm for the synthesis of fuzzy inference systems (FIS) is proposed. A two-stage adaptive FIS synthesis algorithm is described. At the first stage, the initial fuzzy parameters are clustered in order to reduce the number of …

Geometric State Observers For Autonomous Navigation Systems, Miaomiao Wang

Electronic Thesis and Dissertation Repository

The development of reliable state estimation algorithms for autonomous navigation systems is of great interest in the control and robotics communities. This thesis studies the state estimation problem for autonomous navigation systems. The first part of this thesis is devoted to the pose estimation on the Special Euclidean group $\SE(3)$. A generic globally exponentially stable hybrid estimation scheme for pose (orientation and position) and velocity-bias estimation on $\SE(3)\times \mathbb{R}^6$ is proposed. Moreover, an explicit hybrid observer, using inertial and landmark position measurements, is provided.

The second part of this thesis is devoted to the problem of simultaneous estimation of the …

Development Of An Eco Approach And Departure Application To Improve Energy Consumption Of A Plug-In Hybrid Vehicle In Charge Depleting Mode, Brandon Narodzonek

Dissertations, Master's Theses and Master's Reports

A recent study at Michigan Technological University as part of the NEXTCAR DOE APRA-E Project was conducted to determine the potential energy savings of a plug-in hybrid electric vehicle (PHEV) equipped with various Connected and Automated Vehicle (CAV) Technologies. One aspect of this study focused on the development of an Eco Approach and Departure (Eco AnD) Application that would further reduce the energy consumed around a signalized intersection.

Many modern intersections are equipped with traffic signals that can broadcast Basic Safety (BSM), MAP, and Signal Phase and Timing (SPaT) message sets that contain intersection ID, location, current phase, and cyclic …

Electrathon Vehicle: Front Suspension, Christopher Clark

All Undergraduate Projects

Central Washington University does not currently have a competition field-able Electrathon America electric vehicle with adequate front suspension. The aim of this project was to provide the vehicle with handling that supports sound ground contact throughout the competition environment. Handling that supports sound ground contact is important for vehicles so they can go around corners without a loss of traction or flipping over. The solution to this engineering problem was designed and tested through various requirements. The requirements at hand were that the suspension components weigh less than 50 pounds, that there be no more than 3 inches of suspension …

Sensor Fusion And Non-Linear Mpc Controller Development Studies For Intelligent Autonomous Vehicular Systems, Ahammad Basha Dudekula

Dissertations, Master's Theses and Master's Reports

The demand for safety and fuel efficiency on ground vehicles and advancement in embedded systems created the opportunity to develop Autonomous controller. The present thesis work is three fold and it encompasses all elements that are required to prototype the autonomous intelligent system including simulation, state handling and real time implementation. The Autonomous vehicle operation is mainly dependent upon accurate state estimation and thus a major concern of implementing the autonomous navigation is obtaining robust and accurate data from sensors. This is especially true, in case of Inertial Measurement Unit (IMU) sensor data. The IMU consists of a 3-axis gyro, …

Data Driven Sensor Fusion For Cycle-Cycle Imep Estimation, Cooper Heyne Minehart

Dissertations, Master's Theses and Master's Reports

As the world searches for ways to reduce humanity’s impact on the environment, the automotive industry looks to extend the viable use of the gasoline engine by improving efficiency. One way to improve engine efficiency is through more effective control – effective control systems require a feedback signal. Indicated mean effective pressure (IMEP) is a useful feedback signal for automotive control but is costly to measure directly.

Successful machine learning based sensor fusion requires effective feature extraction and model creation. Through a multistage application of machine learning to both the feature extraction process and the IMEP estimation process we are …

Real-Time Predictive Control Of Connected Vehicle Powertrains For Improved Energy Efficiency, Joseph Oncken

Dissertations, Master's Theses and Master's Reports

The continued push for the reduction of energy consumption across the automotive vehicle fleet has led to widespread adoption of hybrid and plug-in hybrid electric vehicles (PHEV) by auto manufacturers. In addition, connected and automated vehicle (CAV) technologies have seen rapid development in recent years and bring with them the potential to significantly impact vehicle energy consumption. This dissertation studies predictive control methods for PHEV powertrains that are enabled by CAV technologies with the goal of reducing vehicle energy consumption.

First, a real-time predictive powertrain controller for PHEV energy management is developed. This controller utilizes predictions of future vehicle velocity …

Design Of An Anti-Jerk Controller For Both Locked And Slipping Torque Converter Conditions In A Vehicle, Syed Ahmad Nadeem

Dissertations, Master's Theses and Master's Reports

With the advancement in the automotive technologies, the customer scrutiny on the ride comfort of automobiles has come to light. Vehicle drivability is one of the important aspects that defines the ride comfort for a vehicle. Drivability of a vehicle is a qualitative measure and may differ from person to person, however, researches have come up to highlight a few parameters that can categorize the drivability performance of a vehicle into good or bad for a majority of the targeted audience. One of those parameters include shuffle, which is defined as the longitudinal oscillations that occurs in the drivetrain when …

A Study Of Model-Based Control Strategy For A Gasoline Turbocharged Direct Injection Spark Ignited Engine, Xin Wang

Dissertations, Master's Theses and Master's Reports

To meet increasingly stringent fuel economy and emissions legislation, more advanced technologies have been added to spark-ignition (SI) engines, thus exponentially increase the complexity and calibration work of traditional map-based engine control. To achieve better engine performance without introducing significant calibration efforts and make the developed control system easily adapt to future engines upgrades and designs, this research proposes a model-based optimal control system for cycle-by-cycle Gasoline Turbocharged Direct Injection (GTDI) SI engine control, which aims to deliver the requested torque output and operate the engine to achieve the best achievable fuel economy and minimum emission under wide range of …

Atv Dynamics And Pediatric Rider Safety, James T. Auxier Ii

Theses and Dissertations--Biomedical Engineering

It has been observed through numerous academic and governmental agency studies that pediatric all-terrain vehicle ridership carries significant risk of injury and death. While no doubt valuable to safety, the post-hoc approach employed in these studies does little to explain the why and how behind the risk factors. Furthermore, there has been no prolonged, widespread, organized, and concerted effort to reconstruct and catalog the details and causes of the large (20,000+) number of ATV-related injuries that occur each year as has been done for road-based motor vehicle accidents. This dissertation takes the opposite approach from a meta-analysis and instead examines …

The Covid-19 Pandemic And Transportation Engineering, Chris Hendrickson,, Laurence Rilett

Department of Civil and Environmental Engineering: Faculty Publications

The COVID-19 pandemic has been an enormous global disruption with immense economic, environmental, and social impacts throughout the world. Only world wars and the flu pandemic of 1918 are comparable in the wide range of consequences, including fatalities, over a relatively short period of time. Unfortunately, we can expect other major disruptions to occur in the future. In this editorial, we intend to discern some lessons for the transportation engineering profession that can be learned from the current catastrophe that can help us prepare for future disruptions. We will ignore nontransportation aspects of the pandemic such as the development of …

Impact Of Smart Phones’ Interaction Modality On Driving Performance For Conventional And Autonomous Vehicles, Francesca M. Favarò

Mineta Transportation Institute

Distracted driving related to cell phone usage ranks among the top three causes of fatal crashes on the road. Although forty-eight of 50 U.S. states allow the use of personal devices if operated hands-free and secured in the vehicle, scientific studies have yet to quantify the safety improvement presumed to be introduced by voice-to-text interactions. Thus, this study investigated how different modes of interaction of drivers with a smart phone (i.e., manual texting vs. vocal input) affect drivers’ distraction and performance in both conventional and semi-autonomous vehicles. The study was executed in a full-car integrated simulator and tested a population …

Route Planning For Long-Term Robotics Missions, Christopher Alexander Arend Tatsch

Graduate Theses, Dissertations, and Problem Reports

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 …

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

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 …

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

Numerical Analyses And Integration Of Split Lot Sizing Using Lean Benchmark Model For Small Lot Manufacturing In High Mix Low Volume Production, Omkar Bhosale

Theses and Dissertations--Manufacturing Systems Engineering

As the global demand for automobiles has increased rapidly over the last fifty years, customers have become more particular about the characteristics of the autos they want. This change in demand, in part has pushed manufacturing to become more flexible and created a demand for alternative, more efficient processes like the High Mix Low Volume (HMLV) production of vehicles. During HMLV, manufacturers create production lot sizes and schedule to synchronize the production processes to meet customer demand on time. The demand for the automobile parts may not be uniform or parts may not be consumed by the customer immediately, Due …

การรู้จำและการบ่งตัวตนของเสียงสภาพแวดล้อมและเสียงปืน-ปืนใหญ่ ด้วย Mlp Svm และ Dnn, ชินวัฒน์ จัตุรัส

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์ฉบับนี้เสนอแนวทางการรู้จำและการบ่งตัวตนของเสียงสภาพแวดล้อมและเสียงปืน-ปืนใหญ่ โดยเสนอแบบจำลอง Support Vector Machine (SVM) Multi-Layer Perceptron (MLP) และ Deep Neural Networks (DNNs) อีกสองชนิด ได้แก่ Convolutional Neural Networks (CNNs) และ Recurrent Neural Networks (RNNs) วัตถุประสงค์หลักเพื่อศึกษาการรู้จำเสียงสภาพแวดล้อมและเสียงปืน-ปืนใหญ่ และขยายขอบเขตให้สามารถจำแนกระหว่างเสียงที่ไม่เป็นอันตรายและเสียงที่เป็นอันตราย ปัญหาหลักของการจำแนกเสียงเกิดจากสัญญาณเสียงมีคุณลักษณะที่ไม่คงที่ (Non-Stationary) และข้อมูลมีขนาดมิติทางเวลาสูง ด้วยเหตุนี้วิทยานิพนธ์นี้จึงเสนอแนวทางการแก้ปัญหาด้วยการประมวลผลก่อนหน้าด้วยผลการแปลงฟูเรียร์สั้น (Short-Time Fourier Transform, STFT) แล้วทำการสกัดคุณลักษณะด้วยการวิเคราะห์องค์ประกอบหลัก (Principal Components Analysis, PCA) และทำการจำแนกด้วย SVM และ MLP นอกจากนี้ด้วยสมมติฐาน เบื้องต้นที่ว่า STFT สามารถแปลงจากสัญญาณเสียงที่มีมิติขนาดหนึ่งมิติมาเป็นสัญญาณภาพ (image) ที่มีขนาดสองมิติได้ ทำให้เราสามารถนำ spectrogram ที่ได้จาก STFT มาประยุกต์ใช้กับการเรียนรู้ลึกชนิด CNN หรือ RNN ได้ในกรณีนี้ CNN และ RNN จะทำหน้าที่สกัดคุณลักษณะ และจำแนกไปพร้อมกับในระหว่างการเรียนรู้ ผลการทดลองวิทยานิพนธ์สรุปได้ว่าเครื่องมือที่สามารถทำนายเสียงสภาพแวดล้อมและเสียงปืน-ปืนใหญ่ ได้แม่นยำสุดคือ DNN ชนิด CNN

การวิเคราะห์เชิงสถิติของปัจจัยที่ส่งผลต่อการเกิดไฟป่าในจังหวัดน่าน, ชัชวาล แซ่โค้ว

Chulalongkorn University Theses and Dissertations (Chula ETD)

จังหวัดน่านมักเกิดไฟป่าเป็นประจำทุกปี ซึ่งเป็นสาเหตุของปัญหาน้ำท่วมและดินถล่มในช่วงฤดูฝน ขาดแคลนน้ำได้ง่ายในช่วงฤดูแล้ง รวมถึงปัญหามลพิษอากาศ PM10 เกินค่ามาตรฐาน ส่งผลต่อการอุปโภคบริโภค การเกษตรและการดำรงชีวิตของมนุษย์ ดังนั้น งานวิจัยนี้จึงมีวัตถุประสงค์ในการศึกษาปัจจัยที่ส่งผลต่อการเกิดไฟป่าและสร้างแผนที่ความเสี่ยง เพื่อระบุระดับความเสี่ยงต่อการเกิดไฟป่าในแต่ละพื้นที่ นำไปสู่แนวทางการป้องกันและความคุมไฟป่าอย่างมีประสิทธิภาพต่อไป โดยแบ่งการศึกษาออกเป็น 4 เขต และพิจารณาข้อมูลระหว่างปี พ.ศ. 2555 – 2562 สำหรับตัวแปรที่นำมาวิเคราะห์ได้แก่ เดือนในช่วงฤดูไฟป่า วันในสัปดาห์ (อาทิตย์ - เสาร์) เวลา อุณหภูมิ ความชื้น ระดับความสูง ระดับความชัน ระยะห่างจากถนน ระยะห่างจากพื้นที่เกษตร ระยะระหว่างตำแหน่งจุดเกิดไฟใกล้เคียงและประเภทป่าไม้ ซึ่งได้มีการจัดทำชั้นข้อมูลถนนสายรองเพิ่มเติมในแต่ละเขต เช่น ถนนในพื้นที่เกษตรและบริเวณโดยรอบ ถนนที่เชื่อมต่อเข้าไปในพื้นที่ป่า เป็นต้น ในส่วนของการวิเคราะห์จะประกอบด้วย การหาค่าความถี่ การทดสอบไคสแควร์และสหสัมพันธ์ในรูปแบบเพียร์สัน ร่วมกับค่าถดถอยพหุคูณ ด้วยโปรแกรม IBM SPSS Statistic 22 และนำมาสร้างแผนที่ความเสี่ยง จากการศึกษาพบว่า ทั้ง 4 เขต มีเพียงวันในสัปดาห์ ที่ไม่พบความสัมพันธ์กับการเกิดไฟป่า สำหรับปัจจัยหลักที่ส่งผลต่อการเกิดไฟป่าคือ ระยะห่างจากถนน ระยะห่างจากพื้นที่เกษตรและระยะระหว่างตำแหน่งจุดเกิดไฟใกล้เคียง ดังนั้น จึงนำตัวแปรทั้ง 3 มาสร้างแผนที่ความเสี่ยงและทดสอบด้วยตำแหน่งจุดเกิดไฟป่าของปี 2563 พบว่า ไฟป่ากว่าร้อยละ 55.55 เกิดในพื้นที่เสี่ยงสูงและสูงมาก โดยเฉพาะในเขต 3 เกิดไฟป่าในพื้นที่เสี่ยงสูงมากถึงร้อยละ 81.63 ซึ่งพื้นที่เสี่ยงสูงและสูงมากของทั้ง 4 เขต มีเพียงร้อยละ 8.14 ของพื้นที่ทั้งจังหวัด

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 NO_x 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 NO_x emissions and to deliver ammonia without deposit formation, there is an imminent need to develop the urea-SCR …

Hybrid Electric Vehicle Energy Management Strategy With Consideration Of Battery Aging, Bin Zhou

Dissertations, Master's Theses and Master's Reports

The equivalent consumption minimization strategy (ECMS) is a well-known energy management strategy for Hybrid Electric Vehicles (HEV). ECMS is very computationally efficient since it yields an instantaneous optimal control. ECMS has been shown to minimize fuel consumption under certain conditions. But, minimizing the fuel consumption often leads to excessive battery damage. The objective of this dissertation is to develop a real-time implementable optimal energy management strategy which improves both the fuel economy and battery aging for Hybrid Electric Vehicles by using ECMS. This work introduces a new optimal control problem where the cost function includes terms for both fuel consumption …

Zips Racing Electric Can Communications, Andrew Jordan, Adam Long, Susanah Kowalewski, Rami Nehme

Williams Honors College, Honors Research Projects

The CAN protocol has been a standard of electronic communication networks of automotive vehicles since the early 2000s due to its robust reliability in harsh environments. For the 2020 competition year, the Zips Racing Electric design team will be building an entirely new, fully-electric vehicle with CAN communication implemented rather than communicating via pure analog signals. Hardware and software can be utilized to read analog electrical signals from a source, such as accelerator and brake sensors, and encode them into a digital message that meets the CAN 2.0B communication protocol standard. Likewise, software can be used to extract data from …

Human Powered Vehicle Internal Systems Design, Zachary Broadbent, Jordan Boos, Patrick Gaertner, Caleb Miner

Williams Honors College, Honors Research Projects

The objective of this design project is to redesign the seat and steering system for the Human Powered Vehicle Team. The goal of the seat design is too improve ergonomics by making it more comfortable and adjustable. In making the seat adjustable, it will be easier for drivers to achieve an optimal efficiency when pedaling. The aim for steering will be to improve the ergonomics as well as performance by analyzing steering systems in the past and evaluating how each design was successful and for what reason. Another main goal of the steering system will be improving the stability and …

Piezoelectric Energy Harvester Improvement, Nathan Embaugh, Jason Mack, Jeremiah Fitzgerald, Zachary J. Lindsey

Williams Honors College, Honors Research Projects

The energy harvester is used to convert a portion of the tire deflection waste energy to power up tire embedded sensors. A piezoelectric energy harvester is designed and some preliminary tests are done on it. So far, it has been shown that this design is sufficient for tire application. The team will need to modify the design of the energy harvester, the measurement setup and add a temperature and a strain senor to the existing setup so that the tire deflection and temperature can be measured and at the same time the energy harvester should be tested to see how …

Autonomous Guided Vehicle Frame For Outdoor Use, Thomas Mcgrath

Williams Honors College, Honors Research Projects

The overall goal for my project is to design a durable Autonomous Guided Vehicle (AGV) frame intended for carrying a heavy load over outdoor terrain. I will not be designing a complete vehicle, only the basic structure that can be used to build a complete AGV on. There will be complete 3D models of the design and its individual parts. I also would like to provide limited Finite Element Analysis of the design using ANSYS software to determine weaknesses and methods for improvement. The design I create is meant to be used as a framework for complete outdoor AGV designs. …

Vehicle Dynamics Modeling For Autonomous Drifting And Clothoid Based Waypoint Interpolation, Shubham Vatsa

Dissertations, Master's Theses and Master's Reports

The advent of autonomous vehicles necessitates a redefinition of road safety regulations, considering a controller can possess better driving skills than an average person. The work presented here partly focuses on a vehicle dynamics model development to help imitate and control vehicle drifting maneuvers. As we see, a professional driver drifting through the traffic while keeping the car safe, it can be utilized to avoid accidents at high speeds, if required. Although drifting can produce higher yaw rates than the regular driving regime, these control capabilities have not yet been exploited in the current automotive control systems. Therefore, this report …

Radio Frequency Studies Of Soot Loading And Ammonia Storage On A Diesel Particulate Filter With A Scr Catalyst Coating, Shreyans Sethia

Dissertations, Master's Theses and Master's Reports

The radio frequency (RF) measurement technique has been shown to be a viable method for measurement of the amount of soot loaded onto DPF’s ^[1] and the amount of NH₃ stored on SCR catalysts ^[2]. In one of the configurations, a microwave resonant cavity is formed by the metal can encasing the enclosed catalyst. Two metal probes acting as antennas are placed on either side of the catalyst. Power transmitted between the antennas is monitored as the frequency of the signal is swept. At certain frequencies, resonance is achieved. Measurements of the resonance frequencies, amplitude at resonance, and …