Automotive Engineering Commons^™

Experimental Research Of The Hydraulic System Of The Unloading Device Of Trailers, Hayrullo Rahimovich Baynazarov, A A. Shermukhamedov

Scientific-technical journal

The article presents the results of an experimental research to substantiate the basic parameters of the unloading device of the trailers.

Viscoelastic Model To Capture Residual Stresses In Heat Cured Dissimilar Adhesive Bonded Joints, Akshat Agha, Fadi Abu-Farha

Publications

The thermal loading during the curing process of an adhesive-bonded joint induces residual stresses in the joint, thereby affecting its performance. The problem becomes worse in the case of a multi-material joint involving varying coefficients of thermal expansion (CTE) for different parts. A novel approach was developed to model the properties of automotive grade structural adhesives during the heat curing process. The material model was divided into two components: curing kinetics model and viscoelastic mechanical model. The models were calibrated using experimental data from Differential Scanning Calorimetry (DSC) and Dynamic Mechanical Analysis (DMA) tests performed on an epoxy-based single-component adhesive. …

Simulation Of Transient Conditions In Vehicle-To-Grid Systems Fed From Plug-In Electric Vehicles, Olapade Oludolapo Olagbemi

Masters Theses

The increasing adoption of plug-in electric vehicles for commercial and consumer needs, coupled with government targets and incentives for use of renewable energy sources and reduction of greenhouse gases [1, pp. 44-45], has led to their consideration as power sources. Such vehicle-to-grid (V2G) systems seek to take advantage of the aggregate energy available within fleets of electric vehicles connected to power grids through bi-directional charging stations, by using them as distributed power sources for load leveling and peak shaving on the power grids [2]. Unfortunately, V2G systems can introduce power quality issues, such as harmonics, with associated transients that pose …

Autonomous Aerial Vehicle Vision And Sensor Guided Landing, Gabriel Bitencourt, Elijah J. Brown, Cedric Bleimling, Gilbert Lai, Arman Molki, Tolga Kaya

School of Computer Science & Engineering Faculty Publications

The use of autonomous landing of aerial vehicles is increasing in demand. Applications of this ability can range from simple drone delivery to unmanned military missions. To be able to land at a spot identified by local information, such as a visual marker, creates an efficient and versatile solution. This allows for a more user/consumer friendly device overall. To achieve this goal the use of computer vision and an array of ranging sensors will be explored. In our approach we utilized an April Tag as our location identifier and point of reference. MATLAB/Simulink interface was used to develop the platform …

A Deep Learning-Based Automatic Object Detection Method For Autonomous Driving Ships, Ojonoka Erika Atawodi

Master's Theses

An important feature of an Autonomous Surface Vehicles (ASV) is its capability of automatic object detection to avoid collisions, obstacles and navigate on their own.

Deep learning has made some significant headway in solving fundamental challenges associated with object detection and computer vision. With tremendous demand and advancement in the technologies associated with ASVs, a growing interest in applying deep learning techniques in handling challenges pertaining to autonomous ship driving has substantially increased over the years.

In this thesis, we study, design, and implement an object recognition framework that detects and recognizes objects found in the sea. We first curated …

Sedan Performance/Economy Rear Diffuser, Jacob Boucher Koris

Thinking Matters Symposium

This project consists of designing in SolidWorks a model of the performance/fuel economy diffuser. The design is modeled with an Ahmed body (recommended shape for CFD testing vehicles) and the diffuser will be applied to the bottom of the rear bumper of the car. After this is done the model will be imported into ANSYS for CFD testing. Testing entails importing the model, then creating a mesh around the model, and then setting up the program to run analysis for calculating the coefficient of drag. Then building this SolidWorks model as a full working prototype for actual road-testing purposes. With …

Autonomous Vehicle Camera Mount Application, Yuan Sheng Sit

Honors Theses

Autonomous vehicles consist of many complex systems, an extensive set of hardware components, and various computing algorithms that constantly work in harmony to provide selfdriving capabilities to a vehicle. This project focuses on developing a universal mount for a ZED 2 stereo camera used in data collection for autonomous driving applications. The main purpose of the mount is to reduce dashboard, windshield, and lens glare that affect the quality of data collection for autonomous driving applications. Software such as Ansys and SOLIDWORKS are used to simulate stress, strain, and thermal distributions on the mount to better understand the strong and …

Hinging, Propping, And Latching Mechanisms For Sunseeker Solar Car, Zachary Ruppenthal

Honors Theses

In this project, designs for the hinging, propping, and latching mechanisms on the 2021 Sunseeker Solar Car were created. These designs allow for the car’s array of solar panels to be held at any desired angle to maximize collection of solar power and give the team access to the battery and driver compartment. Removable telescoping prop rods with pin attachments are used to set the array at a desired angle. The hinging mechanism allows for the array to be lifted vertically prior to rotation in order to avoid interference with the car’s roll cage. To accomplish this, two four-bar linkages …

Automated Scenario Generation Using Halton Sequences For The Verification Of Autonomous Vehicle Behavior In Simulation, Andrew Ferree

Doctoral Dissertations and Master's Theses

As autonomous vehicles continue to develop, verifying their safety remains a large hurdle to mass adoption. One component of this is testing, however it has been shown that it is impractical to statistically prove an autonomous vehicle’s safety using real-world testing alone. Therefore, simulation tools and other virtual testing methods are being employed to assist with the verification process. Testing in simulation still faces some of the challenges of the real world, such as the difficulty in exhaustively testing the system in all scenarios it will encounter. Manual scenario creation is time consuming and does not guarantee scenario coverage. Pseudo-random …

Small Gas Engines Interactive Notebook, P. Troy White

STEM & Agricultural Education Curriculum Resources

A Small Gas Engines interactive notebook to help prepare students for the Briggs & Stratton Master Service Technician Exam 1.

The Concept Of Constructing Set-Theoretic Models Of Structures Of Intelligent Multi-Axis Mechatronic Robot Modules, Nazarov Khayriddin Nuritdinovich, Matyokubov Nurbek Rrustamovich, Temurbek Omonboyevich Rakhimov, Pulatov Rustambek Alisher Ugli

Bulletin of TUIT: Management and Communication Technologies

The article discusses the features and areas of application of multi-axis electromagnetic mechatronic modules in modules of mechatronic and robotic systems that allow not only to increase productivity and improve the quality of manufactured products, but also by replacing heavy, monotonous and sometimes associated with a risk to human health, manual labor with a machine to release a person for creative constructive work. The generalized structure of a multi-axis mechatronic module is presented; multiple theoretical models of construction principles for the study of electromagnetic mechatronic modules of robots and robotic systems are constructed. In this case, the main attention is …

Effect Of Neural Network On Reduction Of Noise For Edge Detection, Diane Peters, Enqi Zhang, James Z. Zhang

Mechanical Engineering Presentations And Conference Materials

Processing photographic images is important in many applications, among them the development of automated driver assistance systems (ADAS) and autonomous vehicles. Many techniques are used for processing images, including neural networks, other types of machine learning, and edge detection. One common issue with processing these photos is the presence of noise, whether caused by the camera itself or by physical conditions (e.g., weather conditions or dirt on road signs). In this paper, a neural network is used for noise reduction to improve edge detection results and tested with two kinds of noise, Gaussian and salt & pepper noise, and three …

Pre-Collision Safety Risk Assessment Using Multi-Body Simulation, Eko Deprianto

Student Works (2020-2029)

Road accident has become an alarming phenomenon across the country. Its negative impact does not only include loss of lives but also affects the economy. Hence, road safety assessment has become a crucial preventive measure. Several assessment studies have been developed and implemented. However, they are mostly conducted in the post-accident level, in which the accident has already taken place. A study using a vehicle dynamic simulation is then proposed to assess the accident at the post-accident level. In order to check its effectiveness, two accident-prone locations were chosen, its road segments are then generated into a simulated environment. Several …

Optimal Nonlinear Pid Speed Control Based On Harmony Search For An Electric Vehicle, Mohamed Shamseldin, Mohamed Abdel Ghany, Yahia Hendawey

Future Engineering Journal

the paper presents an efficient scheme for a Nonlinear PID (NPID) controller to improve the dynamic response of the Electric Vehicle (EV). The objective of the proposed controller is to track accurately the reference speed selected by the driver of the EV. A MATLAB/Simulink model is established and validated for the considered EV to study the system performance. The proposed NPID controller has been investigated by comparing it with the traditional PID controller. The optimal parameters of Both the NPID and PID controllers were obtained using the Harmony Search (HS) optimization technique based on a cost function. The desired rise …

Recreation Of Water-Cooled Exhaust Manifold To Improve Exhaust Gas Recirculation, Muhammad Irfan Asha'ari

Student Works (2020-2029)

The exhaust manifold is a component of the common internal combustion engine designed to help flow the exhaust gases away from the cylinder. Usually attached onto the cylinder head with gaskets, nuts and bolts; modern technology has made it possible to integrate the exhaust manifold into the cylinder head. This results in a reduction of cost to manufacture or outsource gaskets, nuts and bolts; lower weight, volume and size; improved fuel consumption; and improved warm-up times from initial start-up. A functional method of improving emissions of an internal combustion is the introduction of recirculated exhaust gases for combustion. The system …

Adaptive Task Allocation In Automated Vehicles, Skye Taylor, Bin Hu, Jing Chen

Psychology: Interdisciplinary Research in Behavioral Sciences of Transportation Issues

Adaptive task allocation is used in many human-machine systems and has been proven to improve operators’ monitoring and/or performance with automated systems. However, there is little knowledge surrounding the benefits of adaptive task allocation in automated vehicles. In this study, participants were presented with media depicting driving scenarios of both low and high workload at two levels of automation. The participants reported which tasks they felt comfortable allocating to themselves or to the automated system in each driving scenario, as well as whether they would conduct the task allocation manually or have the automated system automatically allocate the tasks. The …

Experimental Methods To Capture Curing Induced Effects In Adhesive Bonded Joints, Akshat Agha, Fadi Abu-Farha

Publications

The rapidly increasing use of structural adhesives, especially in the joining of automotive body structures has motivated various investigations of the effects of adhesive curing process on joints. The automotive-grade structural adhesives require heat curing, which, in the meantime, performs thermal loading on the substrates and causes undesirable effects in the joint. For example, the curing process results in complex residual stresses in the adhesive bond which are detrimental to the performance of the adhesive bond and thereby the automobile body structure, particularly the crashworthiness. To thoroughly evaluate such effects, this paper consists of two parts. The first part presents …

The Architecture Design Of Electrical Vehicle Infrastructure Using Viable System Model Approach, Mahdi Boucetta, Niamat Ullah Ibne Hossain, Raed Jaradat, Charles Keating, Siham Tazzit, Morteza Nagahi

Engineering Management & Systems Engineering Faculty Publications

Exponential technological-based growth in industrialization and urbanization, and the ease of mobility that modern motorization offers have significantly transformed social structures and living standards. As a result, electric vehicles (EVs) have gained widespread popularity as a mode of sustainable transport. The increasing demand for of electric vehicles (EVs) has reduced the some of the environmental issues and urban space requirements for parking and road usage. The current body of EV literature is replete with different optimization and empirical approaches pertaining to the design and analysis of the EV ecosystem; however, probing the EV ecosystem from a management perspective has not …

Local Climate Action Planning As A Tool To Harness The Greenhouse Gas Emissions Mitigation And Equity Potential Of Autonomous Vehicles And On-Demand Mobility, Serena Alexander, Asha Weinstein Agrawal, Benjamin Y. Clark

Mineta Transportation Institute

This report focuses on how cities can use climate action plans (CAPs) to ensure that on-demand mobility and autonomous vehicles (AVs) help reduce, rather than increase, green-house gas (GHG) emissions and inequitable impacts from the transportation system. We employed a three-pronged research strategy involving: (1) an analysis of the current literature on on-demand mobility and AVs; (2) a systematic content analysis of 23 CAPs and general plans developed by municipalities in California; and (3) a comparison of findings from the literature and content analysis of plans to identify opportunities for GHG emissions reduction and mobility equity.

Findings indicate that maximizing …

Design And Implementation Of An Oxidation Catalyst For A Spark Ignited Two Stroke Snowmobile Engine, Noah Squires

Dissertations, Master's Theses and Master's Reports

Spark ignited two stroke engines are under increasing pressure as emissions standards become stricter, making them a perfect candidate for a catalytic aftertreatment system. Yet several significant challenges to catalysis exist. Namely two stroke exhaust systems are very sensitive to back pressure changes and high emissions concentrations can make controlling the temperature of the catalytic reaction difficult. Therefore, it is imperative that a two stroke specific catalyst design process be developed. This project focused on beginning to develop such a design process. Key results of this work include finding a location for the catalyst in the exhaust system that offers …