Autonomous Roadside Mower Testing And Evaluation In Digital Twin Environments, 2024 Purdue University
Autonomous Roadside Mower Testing And Evaluation In Digital Twin Environments, Michael Mardikes, Ethan Brown, Timothy Wiegman, Nathan Sprague, Shreyas Supe, J. T. Evans
Graduate Industrial Research Symposium
Modern day roadside mowing operations in Indiana are performed by contractors operating tractors that pull flex-wing mowers. These mowing operations span over 11,000 miles of road across the state and create serious risk for human operators. Autonomous mowers can provide a safer alternative, but a replacement system must demonstrate an acceptable level of trust before large-scale deployment. A high-fidelity digital-twin environment can facilitate the capability to rapidly test and evaluate platforms in their desired application, while enabling zero real-world risk, a wide range of test variables, and repeatability of a test setup. The simulation environment must be at a level …
Exhaust Manifold Pressure As Engine Tuning Parameter, 2024 California Polytechnic State University, San Luis Obispo
Exhaust Manifold Pressure As Engine Tuning Parameter, Kieran Truth Cunningham, Adam Sullivan Mathews, Connor Richard Smullen
Mechanical Engineering
In this project, the exhaust manifold absolute pressure (EMAP) of a 1986 Toyota Corolla was analyzed across a variety of load cases and was compared with the mass air flow (MAF) of the intake, simultaneously. Correlations were found in the trends of EMAP and MAF sensor readings that may prove helpful in tuning engines that have difficulty in accommodating a MAF sensor. These correlations were found in areas of the powerband where aftermarket tuned engines typically have poor airflow sensing. An equation was developed to spoof MAF input using EMAP and other engine operating parameters.
Finite Element Analysis Of Thermal-Mechanical Instabilities In Nonmetallic Friction Composite Material, 2024 University of Denver
Finite Element Analysis Of Thermal-Mechanical Instabilities In Nonmetallic Friction Composite Material, Joseph-Shaahu Shaahu
Electronic Theses and Dissertations
Thermal-mechanical instability (TMI) has been a research topic of interest as it focuses a lot on transportation systems. Thermal-mechanical instability was first noticed in railway and experimentally studied with a pin-to-pin or pin-to-surface setup of sliding contact. The topic has been extended into brakes and clutches which are two of the most common sliding systems most susceptible to thermal buckling and thermoelastic instability (TEI), where thermal buckling and thermoelastic instability are two sub-categories of thermal-mechanical instability. Thermal-mechanical instability is an ongoing research to better understand the phenomenon and the limits at which such instability occurs. This work delved into the …
Electric Vehicles Contribute To China's Energy Security And Carbon Peaking And Carbon Neutrality, 2024 Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
Electric Vehicles Contribute To China's Energy Security And Carbon Peaking And Carbon Neutrality, Jianfeng Guo, Xuemei Zhang, Qi Cao, Fu Gu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The current international situation is complicated and unstable, and China is in the midst of an important economic transition as it deals with the twin concerns of energy security and carbon peaking and carbon neutrality (referred to as dual carbon goals). Although the dual carbon goals aim a strong emphasis on energy security, certain emission reduction strategies will place restrictions on energy security that is directly connected, such as energy supply and grid load, making it challenging to simultaneously fulfill the optimization goal. China now has the task of figuring out how to rationalize and optimize the coordinated promotion of …
Investigating The Effects Of Alcohol Consumption On Manual And Automated Driving: A Systematic Review, 2024 San Jose State University
Investigating The Effects Of Alcohol Consumption On Manual And Automated Driving: A Systematic Review, Miaomiao Dong, Yuni Lee, Jackie Cha, Gaojian Huang
Mineta Transportation Institute
There are direct correlations between drunk driving and car-related injuries, disabilities, and death. Autonomous vehicles (AVs) may provide useful driver support systems to prevent or reduce road accidents. However, AVs are not yet fully automated and require human drivers to take over the vehicle at times. Therefore, understanding how alcohol affects driving performance in both manual and automated driving is important because manual drives may offer insights into the takeover process in AVs. A systematic review of 53 articles from eight databases was conducted. Findings were categorized based on the human information processing model, which can be extended to the …
Enhancing Bridge Resilience And Overheight Vehicle Mitigation Through Innovative Sacrificial Cushion Systems, Aly Mousaad Aly, Marc Hoffmann
Faculty Publications
Transportation departments have made significant strides in addressing the challenges posed by the increasing weights of trucks on bridges. While there is a growing awareness of overheight vehicle collisions with bridges, implementing effective countermeasures remains limited. The susceptibility of bridges to damage from such collisions is on the rise, further exacerbated by unpredictable lateral impact forces. This study employs nonlinear impact analysis to assess the response of an unprotected vehicle-girder model, yielding realistic deformation outcomes comparable to observed impacts on the US-61 bridge. Predictions for a truck traveling at 112.65 km/h indicate deformations of 0.229 m, 0.161 m, and 0.271 …
Dynamics Of Separated Flows In Diffusers With Vortex Generators, 2024 University of Texas at Arlington
Dynamics Of Separated Flows In Diffusers With Vortex Generators, Sandeep Eldho James
Mechanical and Aerospace Engineering Dissertations
Flow through curved diffusers is complicated due to the possibility of flow separation and secondary flows. Vortex generators (VGs) are a class of passive flow separation control devices used to improve the flow quality in curved diffusers by suppressing flow separation. However, the literature review demands an in-depth investigation on the physical mechanisms related to flow separation control. Thus, this study aims to improve the understanding of the underlying flow physics associated with VG-induced flow separation control in confined flows. The chosen geometry for this study is a well-documented asymmetric diffuser which exhibits a mild flow separation.
The theoretical formulation …
Adjustable Load On Cvt Driven Project, 2024 The University of Akron
Adjustable Load On Cvt Driven Project, Elijah Saxton, Colin Mcconnell, Trent Bolek, Caleb Malboeuf, Alexander Rawson
Williams Honors College, Honors Research Projects
SAE Baja, also known as Baja SAE (Society of Automotive Engineers Baja), is a series of collegiate design competitions organized by the Society of Automotive Engineers (SAE). These competitions challenge teams of students to design, build, and race off-road vehicles that can withstand rough terrain and perform in various dynamic events. The objective of this Senior Design Project is to design, manufacture, and test an adjustable driven Continuous Variable Transmission (CVT) pulley to adjust the preload on the spring. This will allow easier adjustment on the CVT preload at smaller increments. This design could be used for future Zips Baja …
Development Of A Solidworks Api, 2024 The University of Akron
Development Of A Solidworks Api, Andrew Magyar
Williams Honors College, Honors Research Projects
With the current advancements in CAD software, and precision of modern motors, we believe that a new way to communicate from hardware to software is possible. This report details the steps we have taken to attempt just that. The essential idea behind this is that modern controls for robotics are not as user friendly as they can be. The general action taken is to create an API for SolidWorks that connects it to the other necessary controller software and makes it so that a robot, and its exact current position, can be changed simply and intuitively from SolidWorks. Furthermore, the …
Extending Trailer, 2024 The University of Akron
Extending Trailer, Alex Grove
Williams Honors College, Honors Research Projects
The goal of this research project is to revolutionize the convenience in towable transportation. This innovative design aims to enhance the versatility of pull-behind trailers by incorporating an extendable feature, allowing users to effortlessly adjust the length according to their specific needs. Whether navigating tight spaces or accommodating extra cargo, our trailer adapts to diverse situations, providing unmatched flexibility. In addition to its adjustable length, the trailer is engineered to be compactable, addressing the storage constraints often faced by users with limited space. The collapsible design ensures easy storage without compromising on functionality, making it an ideal solution for individuals …
Schaeffler E-Axle Value Engineering, 2024 The University of Akron
Schaeffler E-Axle Value Engineering, Andrew Powers
Williams Honors College, Honors Research Projects
This project aims to design a manufacturable E-Axle end housing that improves system performance while reducing cost. The project is focused on utilizing Schaeffler's manufacturing competencies to achieve a simple assembly with a significant reduction in cost per part, while using existing machines or processes within the company. The design development process will follow the conceptual design stage through Finite Element Analysis and classical engineering calculations. Cross-functional design reviews will be conducted to ensure that agreement can be reached on the manufacturing feasibility of the design. Concepts will be entered in a decision analysis sheet to identify the best one …
Modeling Coupled Driving Behavior During Lane Change: A Multi-Agent Transformer Reinforcement Learning Approach, 2024 University of Canterbury
Modeling Coupled Driving Behavior During Lane Change: A Multi-Agent Transformer Reinforcement Learning Approach, Hongyu Guo, Mehdi Keyvan-Ekbatani, Kun Xie
Civil & Environmental Engineering Faculty Publications
In a lane change (LC) scenario, the lane change vehicle interacts with surrounding vehicles. The interactions not only affect their driving behaviors but also influence the traffic flow. This study aims to model the coupled behavior of the lane changer and the follower in the target lane during LC. Large-scale real-world connected vehicle (CV) data from the Safety Pilot Model Deployment (SPMD) program are used to extract LCs and study vehicle interactions. A multi-agent Transformer-based deep deterministic policy gradient (MA-TDDPG) method is proposed to model the coupled behaviors during LC. The multi-agent framework can handle the multiple agents’ behaviors with …
On The Modes Of Nanosecond Pulsed Plasmas For Combustion Ignition Of Quiescent Ch₄-Air Mixtures, 2024 Old Dominion University
On The Modes Of Nanosecond Pulsed Plasmas For Combustion Ignition Of Quiescent Ch₄-Air Mixtures, Chunqi Jiang, Akash C. Dhotre, Meimei Lai, Sayan Biswas, James R. Macdonald, Isaac W. Ekoto
Bioelectrics Publications
The effect of transient plasma modes on ignition kernel development are discussed here for a quiescent CH4-air combustion model system. A 10 ns high-voltage pulse was applied to a pin-to-pin electrode in lean fuel-air mixtures at room temperature and atmospheric pressure. High-impedance streamer, transient spark and low-impedance spark discharges were identified based on pulse waveforms of voltage and current. A sustained ignition kernel expansion was observed when the plasma discharge transitioned into a transient spark or spark discharge. The minimum ignition energy was obtained at the transient spark mode, which has less than a third of the energy …
V2i-Based Adaptive Collision Avoidance For Safety And Traffic Efficiency, 2024 Michigan Technological University
V2i-Based Adaptive Collision Avoidance For Safety And Traffic Efficiency, Vaishnavi Balambeed
Dissertations, Master's Theses and Master's Reports
To leverage the growing communication and connectivity among modern vehicles, Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) systems are increasingly being used to implement active safety applications. However, current research often overlooks the impact of algorithms such as collision avoidance on traffic flow efficiency. This work investigates the adaptation of a collision avoidance algorithm implemented in V2I to incorporate a variable time headway and spacing control strategy. The proposed approach aims to maintain higher average speeds among vehicles, lower individual vehicle’s waiting, and travel times in the vicinity of the infrastructural unit while simultaneously avoiding collisions; thereby enhancing both safety and traffic …
Application Of Fusion Based Deep Learning Models To Improve Millimeter Wave Beamforming, 2024 Michigan Technological University
Application Of Fusion Based Deep Learning Models To Improve Millimeter Wave Beamforming, Abishek Subramanian
Dissertations, Master's Theses and Master's Reports
This study addresses the challenge of selecting millimeter Wave (mmWave) beamforming pairs for vehicle-to-infrastructure (V2I) communication, to mitigate latency in highly dynamic vehicular environments. We investigate the use of out-of-band sensor data as side information to model mmWave ray tracing paths and predicting a subset of top-K optimal beamforming pairs for efficient and low-latency searches. Unimodal-Fusion Deep Learning (F-DL) networks was applied to enhance mmWave beamforming process. We started by first investigating the centralized architecture, and then explored a novel distributed architecture through federated learning to minimize resource and latency overheads. The distributed architecture incorporates two biased client selection strategies: …
Bv2trs Appraiser Model: Enforcing Bharat Version2 In Tree Soft Modelling For Appraising E-Mobility Hurdles, 2024 University of New Mexico
Bv2trs Appraiser Model: Enforcing Bharat Version2 In Tree Soft Modelling For Appraising E-Mobility Hurdles, Mona Mohamed, Florentin Smarandache, Michael Gr. Voskoglou
Branch Mathematics and Statistics Faculty and Staff Publications
Electric vehicles (EVs) are being introduced to lessen greenhouse gas (GHG) emissions, air pollution, and reliance on fossil fuels. As a result of the government's aggressive promotion of EVs and rising environmental consciousness, EVs are quickly rising to the top of the low-carbon transportation market. Several viewpoints suggested that shifting to electric vehicles has been seen as a potential way to achieve sustainable mobility. Nevertheless, many studies discussed the obstacles and hurdles that obstruct the embracing of various electric-mobility (E-mobility) as EVs and electric-scooters (E-scooters) as eco-friendly means. Herein, we discussed these hurdles and determined them through surveys for prior …
Investigation Of Operational Parameter Differences Between The Standard Ron Test Method And Knock-Limited Modern Spark-Ignition Engine Operation, 2024 Michigan Technological University
Investigation Of Operational Parameter Differences Between The Standard Ron Test Method And Knock-Limited Modern Spark-Ignition Engine Operation, Alexander Hoth
Dissertations, Master's Theses and Master's Reports
Octane numbers (ONs) are used worldwide to rate the knock propensity of gasoline-like fuels for spark-ignition engines, making ONs the leading indicator of fuel quality for commercial distribution. The ONs were established 90 years ago and have only received minor changes compared to significant advancements in modern engine operation and fuel composition. This has resulted in discrepancies between knock-limited modern engine operation and standard ON ratings. This dissertation used a standard CFR octane rating engine at Argonne National Laboratory that was instrumented with modern combustion research tools to investigate key differences between the Research Octane Number (RON) rating conditions and …
Development And Evaluation Of Blind Spot Detection Safety System Based On 2d-Lidar Technology As An Optimization For Adas Systems, 2024 Georgia Southern University
Development And Evaluation Of Blind Spot Detection Safety System Based On 2d-Lidar Technology As An Optimization For Adas Systems, Timothy J. Sutton
Honors College Theses
Distracted driving poses a significant safety hazard and will only exacerbate as the number of modern-day distractions increases. To mitigate this problem, Advanced Driver Assistance Systems (ADAS) features, such as blind spot detection, have been pivotal for the safer operation of vehicles. Towards the same objective, the goal of this research is to utilize 2D LiDAR sensors to create a blind spot detection system that will detect objects and surfaces that are outside of the driver’s field of view. A comparative analysis was conducted by developing a 2D LiDAR-based system utilizing NVIDIA Jetson Orion Nano and Python alongside an ultrasonic-based …
Enhancement Of The Performance And Emission Attributes For The Diesel Engine Using Diesel-Waste Cooking Oil Biodiesel And Graphene Oxide Nanofluid Blends Through Response Surface Methodology, 2024 Mechanical Power Engineering Departments, Faculty of Engineering, Tanta, University, Tanta, Egypt
Enhancement Of The Performance And Emission Attributes For The Diesel Engine Using Diesel-Waste Cooking Oil Biodiesel And Graphene Oxide Nanofluid Blends Through Response Surface Methodology, Medhat Elkelawy Prof. Dr. Eng., E A El Shenawy, Hagar Alm-Eldin Bastawissi, Mahmoud M. Shams
Mansoura Engineering Journal
This study examined how diesel fuel and waste-cooked oil (WCO) biodiesel blends added by various concentrations of graphene oxide (GO) nanoparticles can effect on the performance and emission characteristics of constant-speed, four-stroke, single-cylinder, water-cooled diesel engines. The GO nanoparticles concentrations are 50,100 and 150 ppm dispersed in different diesel-WCO biodiesel blends are pure diesel fuel (B0), 20% WCO biodiesel and 76% diesel fuel (B20), and 40% WCO biodiesel and 56% diesel fuel (B40). In addition 4% toluene in all blends which used as a surfactant. The diesel engine fueled with these blends and operated at various engine loads are 2, …
Metal Organic Framework Modifications Of Structural Fibers, 2023 Embry-Riddle Aeronautical University
Metal Organic Framework Modifications Of Structural Fibers, Marwan Al-Haik
Publications
A reinforced carbon composite can include a carbon substrate and a metal organic framework bonded to the carbon substrate. For example, a reinforced carbon composite can include a first layer, a second layer, and a resin adhered to the first layer and the second layer. The first layer can include a carbon substrate and a metal organic framework bonded to the carbon substrate. The second layer can include a carbon substrate and a metal organic framework bonded to the carbon substrate.