Automotive Engineering Commons^™

Technology Of Mobility Hubs In Autopian Futuristic Cities, Mohamad Abdallah M.Abdallah, Marwan Halabi, Hiba Mohsen, Maged Youssef

BAU Journal - Science and Technology

Utopias envision perfect societies, however in practice, when imperfect humans attempt perfection they fail miserably. Hence, if Utopia means no place, then Autopia is the alternative place where progress is steadfast and measured by securing a better world for tomorrow. In 2012, the UN issued a report stating that population growth will increase exponentially, reaching up to 9 billion by 2040. The report also states that melted ice due to global warming will eventually cover up to 7% of the world’s land. At this rate, humans will require three times the earth’s land area to keep up with their required …

Problem Solving Methods For Synthesis Of Physical Principles Of Mechatronic Module Operations In Intelligent Robotic Systems, Nazarov Khayriddin Nuritdinovich

Chemical Technology, Control and Management

The scientific paper investigates the methods for solving problems of synthesis of physical principles of operation of mechatronic modules of intelligent robotic systems are considered.

In addition, it deals with the specifics of the process of synthesis of the physical principles of the operation of mechatronic modules using predicate models, list models and information matrices of physical and technical effects.

It shows the interpretation of the components of the model of the system for the synthesis of the physical principles of operation of mechatronic modules of intelligent robotic systems and automatic control and the features of the synthesis algorithm for …

Rattle Detection – An Automotive Case Study, Orla Hartley

International Conference on Lean Six Sigma

This case study showcases the use of statistical tools to develop an objective Squeak and Rattle (S&R) measurement and detection test for End Of Line (EOL) sign off in an automotive manufacturing environment. Audio Induced S&R is an unwanted vibration within the vehicle caused by the sound system, impacting on customer perception of vehicle quality. Testing for S&R in an automotive environment has a key challenge; how to robustly detect a rattle at the EOL and thus prevent plant escapes to the customer. The objective test developed used microphones and analysers in order to replace an e subjective listening test. …

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. …

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 …

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 …

Sedan Performance/Economy Rear Diffuser, Jacob Boucher Koris

Thinking Matters Student Research 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.

Tribology, Performance And Emissions Of A Two Stroke-Cycle Engine Using Bio-Based Lubricant, Muhammad Zulfattah Zakaria

Student Works (2020-2029)

Two-stroke (2T) gasoline engine is labelled as main contributor to air pollution, especially in the city. Ironically, this engine is still being sold and used and its sales was reported to increase over the years. The reason is that 2T gasoline engine is more powerful than four-stroke engine in term of power-to-weight ratio. Advancements in 2T engines technology also produces better emissions than their four-stroke counterpart. Most 2T engines do not have oil sump for lubricant which makes the maintenance easier, cheaper, and more practical e.g., for marine outboard engine which is heavy and costly to be dismantled and brought …

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 …