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Full-Text Articles in Automotive Engineering

Cfrp Delamination Density Propagation Analysis By Magnetostriction Theory, Brandon Eugene Williams Dec 2023

Cfrp Delamination Density Propagation Analysis By Magnetostriction Theory, Brandon Eugene Williams

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While Carbon Fiber Reinforced Polymers (CFRPs) have exceptional mechanical properties concerning their overall weight, their failure profile in demanding high-stress environments raises reliability concerns in structural applications. Two crucial limiting factors in CFRP reliability are low-strain material degradation and low fracture toughness. Due to CFRP’s low strain degradation characteristics, a wide variety of interlaminar damage can be sustained without any appreciable change to the physical structure itself. This damage suffered by the energy transfer from high- stress levels appears in the form of microporosity, crazes, microcracks, and delamination in the matrix material before any severe laminate damage is observed. This …


Controlled Manipulation And Transport By Microswimmers In Stokes Flows, Jake Buzhardt Dec 2023

Controlled Manipulation And Transport By Microswimmers In Stokes Flows, Jake Buzhardt

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Remotely actuated microscale swimming robots have the potential to revolutionize many aspects of biomedicine. However, for the longterm goals of this field of research to be achievable, it is necessary to develop modelling, simulation, and control strategies which effectively and efficiently account for not only the motion of individual swimmers, but also the complex interactions of such swimmers with their environment including other nearby swimmers, boundaries, other cargo and passive particles, and the fluid medium itself. The aim of this thesis is to study these problems in simulation from the perspective of controls and dynamical systems, with a particular focus …


Improved Vehicle-Bridge Interaction Modeling And Automation Of Bridge System Identification Techniques, Omar Abuodeh Aug 2023

Improved Vehicle-Bridge Interaction Modeling And Automation Of Bridge System Identification Techniques, Omar Abuodeh

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The Federal Highway Administration (FHWA) recognizes the necessity for cost-effective and practical system identification (SI) techniques within structural health monitoring (SHM) frameworks for asset management applications. Indirect health monitoring (IHM), a promising SHM approach, utilizes accelerometer-equipped vehicles to measure bridge modal properties (e.g., natural frequencies, damping ratios, mode shapes) through bridge vibration data to assess the bridge's condition. However, engineers and researchers often encounter noise from road roughness, environmental factors, and vehicular components in collected vehicle signals. This noise contaminates the vehicle signal with spurious modes corresponding to stochastic frequencies, impacting damage monitoring assessments. Thus, an efficient and reliable SI …


Vanet Applications Under Loss Scenarios & Evolving Wireless Technology, Adil Alsuhaim May 2023

Vanet Applications Under Loss Scenarios & Evolving Wireless Technology, Adil Alsuhaim

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In this work we study the impact of wireless network impairment on the performance of VANET applications such as Cooperative Adaptive Cruise Control (CACC), and other VANET applications that periodically broadcast messages. We also study the future of VANET application in light of the evolution of radio access technologies (RAT) that are used to exchange messages. Previous work in the literature proposed fallback strategies that utilizes on-board sensors to recover in case of wireless network impairment, those methods assume a fixed time headway value, and do not achieve string stability. In this work, we study the string stability of a …


Deep Reinforcement Learning And Game Theoretic Monte Carlo Decision Process For Safe And Efficient Lane Change Maneuver And Speed Management, Shahab Karimi May 2023

Deep Reinforcement Learning And Game Theoretic Monte Carlo Decision Process For Safe And Efficient Lane Change Maneuver And Speed Management, Shahab Karimi

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Predicting the states of the surrounding traffic is one of the major problems in automated driving. Maneuvers such as lane change, merge, and exit management could pose challenges in the absence of intervehicular communication and can benefit from driver behavior prediction. Predicting the motion of surrounding vehicles and trajectory planning need to be computationally efficient for real-time implementation. This dissertation presents a decision process model for real-time automated lane change and speed management in highway and urban traffic. In lane change and merge maneuvers, it is important to know how neighboring vehicles will act in the imminent future. Human driver …


Multiple Heat Exchanger Cooling System For Automotive Applications – Design, Mathematical Modeling, And Experimental Observations, Zaker Syed Dec 2022

Multiple Heat Exchanger Cooling System For Automotive Applications – Design, Mathematical Modeling, And Experimental Observations, Zaker Syed

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The design of the automotive cooling systems has slowly evolved from engine-driven mechanical to computer-controlled electro-mechanical components. With the addition of computer-controlled variable speed actuators, cooling system architectures have been updated to maximize performance and efficiency. By switching from one large radiator to multiple smaller radiators with individual flow control valves, the heat rejection requirements may be precisely adjusted. The combination of computer regulated thermal management system should reduce power consumption while satisfying temperature control objectives. This research focuses on developing and analyzing a multi-radiator system architecture for implementation in ground transportation applications. The premise is to use a single …


Non-Destructive Terrain Evaluation And Modeling For Off-Road Autonomy, Howard Brand Dec 2022

Non-Destructive Terrain Evaluation And Modeling For Off-Road Autonomy, Howard Brand

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In recent years, there has been an increased interest in implementing intelligent robotic systems in outdoor environments. Paramount to accomplishing this objective is being able to conduct successful robotic navigation in unprepared outdoor environments. This presents unique challenges in that there is a risk of catastrophic immobilization in terrain regions which, though unoccupied, cannot provide traction support for vehicle mobility. Methods for providing prior knowledge and perception of traction support is therefore an interest and focus of research.

In the advent of ever advancing machine learning models, “learn-as-you-go” approaches have emerged as topics of interest for mobility prediction. These approaches, …


Multi-Robot Symbolic Task And Motion Planning Leveraging Human Trust Models: Theory And Applications, Huanfei Zheng Nov 2022

Multi-Robot Symbolic Task And Motion Planning Leveraging Human Trust Models: Theory And Applications, Huanfei Zheng

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Multi-robot systems (MRS) can accomplish more complex tasks with two or more robots and have produced a broad set of applications. The presence of a human operator in an MRS can guarantee the safety of the task performing, but the human operators can be subject to heavier stress and cognitive workload in collaboration with the MRS than the single robot. It is significant for the MRS to have the provable correct task and motion planning solution for a complex task. That can reduce the human workload during supervising the task and improve the reliability of human-MRS collaboration. This dissertation relies …


Investigating Drivers’ Knowledge And Experience With The Anti-Lock Braking System (Abs) Which Led To The Development And Evaluation Of An Emergency Braking Training Exercise Using A Driving Simulator With Haptic Pedal Feedback, Lauren Mims Aug 2022

Investigating Drivers’ Knowledge And Experience With The Anti-Lock Braking System (Abs) Which Led To The Development And Evaluation Of An Emergency Braking Training Exercise Using A Driving Simulator With Haptic Pedal Feedback, Lauren Mims

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The purpose of this dissertation was to explore the extent to which drivers do or do not have knowledge of and experience with the anti-lock braking system (ABS) and then to explore the development and evaluation of a driving simulator task specifically designed to address emergency braking with haptic brake pedal feedback. The anti-lock braking system (ABS) was created to help drivers in emergency braking situations by preventing skidding and loss of control due to locked wheels. Vehicles with conventional (pre-ABS) brakes required the driver to “pump” the brake pedal, or to rapidly press and release the brake pedal, during …


A Novel Computationally Efficient Ai-Driven Generative Inverse Design Framework For Accelerating Topology Optimization And Designing Lattice-Infused Structures, Darshil Patel Aug 2022

A Novel Computationally Efficient Ai-Driven Generative Inverse Design Framework For Accelerating Topology Optimization And Designing Lattice-Infused Structures, Darshil Patel

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Multiscale topology optimization (TO) provides an inverse design computational framework for designing globally and locally optimized hierarchical structures. Triply periodic minimal surfaces (TPMS), a subclass of parametrically-driven lattice structures, exhibit unique properties such as large surface area, significant volume densities, and good strength-to-weight ratio, which makes them favorable for novel engineering applications. The recent advances in additive manufacturing and its ability to fabricate high-resolution structures have spurred interest in multiscale TO and TPMS for computationally designing finer and high-resolution designs. While multiscale TO and TPMS bring transformative opportunities in various applications, their potential for everyday use remains idle due to …


Improving The Human-Machine Interaction Of Ai Systems For System Health Monitoring, Ryan Nguyen Aug 2022

Improving The Human-Machine Interaction Of Ai Systems For System Health Monitoring, Ryan Nguyen

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System health monitoring aids in the longevity of fielded systems or products. Providing a fault diagnosis or a prognosis can evaluate a system's current health. A diagnosis is the type of issue that could lead to a system's end-of-life (EOL); a prognosis is the remaining useful life (RUL) between the current state and the EOL. Fault diagnosis and RUL prediction can be acquired through (1) physics-based methods (PbM), (2) data-driven methods (DDM), or (3) hybrid modeling methods. DDM accurately provide a fault diagnosis, but the amount of data required is significant. This study reduces the amount of required data by …


Modeling, Estimation, And Optimal Control Of Lithium-Ion Battery At Cell And System Level, Hamidreza Mirzaei Aug 2022

Modeling, Estimation, And Optimal Control Of Lithium-Ion Battery At Cell And System Level, Hamidreza Mirzaei

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Lithium-ion batteries (LIBs) have been regarded as a crucial technology for electrifying a variety of applications, ranging from powering computers, phones, and hybrid electric vehicles (HEVs) to being a critical part of the modern centralized and distributed power grids. Battery systems performance is governed by embedded battery management systems (BMSs). The BMS includes battery state estimation algorithms and control rules, and it acts as the brain of battery-powered systems. The purpose of this research is to address unresolved difficulties associated with control algorithms in BMSs at all levels, from single battery cells to battery packs in hybrid electric vehicles (HEVs).\\ …


Control, Decision-Making, And Learning Approaches For Connected And Autonomous Driving Systems With Humans-In-The-Loop, Fangjian Li May 2022

Control, Decision-Making, And Learning Approaches For Connected And Autonomous Driving Systems With Humans-In-The-Loop, Fangjian Li

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By virtue of vehicular connectivity and automation, the vehicle becomes increasingly intelligent and self-driving capable. However, no matter what automation level the vehicle can achieve, humans will still be in the loop despite their roles. First, considering the manual driving car as a disturbance to the connected and autonomous vehicles (CAVs), a novel string stability is proposed for mixed traffic platoons consisting of both autonomous and manual driving cars to guarantee acceptable motion fluctuation and platoon safety. Furthermore, humans are naturally considered as the rider in the passenger vehicle. A human-centered cooperative adaptive cruise control (CACC) is designed to improve …


A Multi-Perspective Architecture Framework For Managing Multi-Fidelity Simulations Using Feature-Based Product Line Engineering, Ryan Colletti May 2022

A Multi-Perspective Architecture Framework For Managing Multi-Fidelity Simulations Using Feature-Based Product Line Engineering, Ryan Colletti

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This dissertation aims to facilitate the process for generating system-level simulations using new and existing product line engineering practices within a SysML reference architecture of the simulation domain. The modern passenger vehicle is becoming increasingly complex with the addition of more software-oriented features, especially Advanced Driver Assistance Systems (ADAS), leading to higher numbers of recalls. To mitigate this, the result of this research is the novel Vehicle Simulation Architecture Framework (VSAF). This dissertation presents the VSAF, its innovations, and a characterization of its scalability, applicability, and initial investment vs. incremental cost tradeoffs as compared to those of current simulation practices. …


Coupled Thermal Mechanical Analysis Methodology For Thermal Performance Evaluation And Failure Mode Identification Of Thermal Barrier Coatings For Heavy Duty Diesel Engines, Sean Moser Dec 2021

Coupled Thermal Mechanical Analysis Methodology For Thermal Performance Evaluation And Failure Mode Identification Of Thermal Barrier Coatings For Heavy Duty Diesel Engines, Sean Moser

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Consumer demand and government regulation, as well as the Department of Energy’s SuperTruck program has motivated extraordinary effort to maximize the heavy-duty diesel engine’s thermal efficiency. Thermal barrier coatings (TBCs) provide an avenue for increasing the thermal efficiency of the mixing controlled combustion (MCC) process through the reduction of heat transfer losses. The myriad of previous studies presents conflicting conclusions, both in the merit of TBCs for cycle improvement, and also for coating durability and potential adverse effects from coating failure. While the most recent studies with thin thermal barrier coatings (~100-250 µm) have shown a majority of positive cycle …


Evaporator Modeling And An Optimal Control Strategy Development Of An Organic Rankine Cycle Waste Heat Recovery System For A Heavy Duty Diesel Engine Application, Dhruvang Rathod May 2019

Evaporator Modeling And An Optimal Control Strategy Development Of An Organic Rankine Cycle Waste Heat Recovery System For A Heavy Duty Diesel Engine Application, Dhruvang Rathod

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The Organic Rankine Cycle (ORC) has proven to be a promising technology for Waste Heat Recovery (WHR) systems in heavy duty diesel engine applications. However, due to the highly transient heat source, controlling the working fluid flow through the ORC system and maximizing the heat recovery is a challenge for real time application. To that end, this research resulted in the following main developments.

The first new development is in the area of heat exchanger modeling. The heat exchanger is a key component within the WHR system and it governs the dynamics of the complete ORC system. The heat exchanger …


Polymer Injection Forming: A New Age Technology For Manufacturing Polymer-Metal Hybrids, Saeed Farahani Dec 2018

Polymer Injection Forming: A New Age Technology For Manufacturing Polymer-Metal Hybrids, Saeed Farahani

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Due to global competition, manufacturing firms in high-wage countries must target innovation in production processes and technologies that allow the mass manufacturing of customized products through highly efficient processes. Motivated by the concept of the integrative production systems, 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 using a single tooling, machinery, and operating system. During this process, the sheet metal blank inside the injection mold is deformed by means of tool movement and/or by pressure of the polymer melt. As the melt cools, the …


Design, Synthesis And Sustainable Applications Of Animal Protein-Based Thermoset Polymers And Covalent Organic Frameworks, Xiaoyan Yu Aug 2017

Design, Synthesis And Sustainable Applications Of Animal Protein-Based Thermoset Polymers And Covalent Organic Frameworks, Xiaoyan Yu

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Extensive research has been undertaken in recent times on finding suitable, alternative, non-feed and non-fertilizer applications for proteinaceous materials in the animal rendering industry. In this regard, use of such proteins to derive plastics, especially thermoplastics and derived composites, has emerged as a potentially acceptable choice. However, the widespread use of such proteins for aforementioned applications is limited by their poor mechanical properties, high moisture absorption and their inherent odor. In this study, we have engineered, for the first time, high-strength, toughened thermoset polymers from proteinaceous materials obtained from the rendering industry so that they can be employed in high …


Supervisory Control Optimization For A Series Hybrid Electric Vehicle With Consideration Of Battery Thermal Management And Aging, Xueyu Zhang Aug 2016

Supervisory Control Optimization For A Series Hybrid Electric Vehicle With Consideration Of Battery Thermal Management And Aging, Xueyu Zhang

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This dissertation integrates battery thermal management and aging into the supervisory control optimization for a heavy-duty series hybrid electric vehicle (HEV). The framework for multi-objective optimization relies on novel implementation of the Dynamic Programing algorithm, and predictive models of critical phenomena. Electrochemistry based battery aging model is integrated into the framework to assesses the battery aging rate by considering instantaneous lithium ion (Li+) surface concentration rather than average concentration. This creates a large state-action space. Therefore, the computational effort required to solve a Deterministic or Stochastic Dynamic Programming becomes prohibitively intense, and a neuro-dynamic programming approach is proposed to remove …


Understanding The Automotive Pedal Usage And Foot Movement Characteristics Of Older Drivers, Yubin Xi Dec 2015

Understanding The Automotive Pedal Usage And Foot Movement Characteristics Of Older Drivers, Yubin Xi

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The purpose of this study was to understand the pedal usage characteristics of older drivers in various driving tasks using an instrumented vehicle. This study stemmed from the prevalence of the pedal application errors (PAEs) and the older drivers’overrepresentation in crashes caused by PAEs.

With the population increasing and becoming older, it is estimated that in 2020 there will be 40 million drivers over the age of 65 in the United States. Compared with their younger counterparts, older drivers are facing declining cognitive and physical abilities, such as impaired vision, slower reaction time and diminishing range of limb motion. Because …


A Study On General Assembly Line Balancing Modeling Methods And Techniques, Bryan Pearce Dec 2015

A Study On General Assembly Line Balancing Modeling Methods And Techniques, Bryan Pearce

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The borders of the assembly line balancing problem, as classically drawn, are as clear as any other operations research topic in production planning, with well-defined sets of assumptions, parameters, and objective functions. In application, however, these borders are frequently transgressed. Many of these deviations are internal to the assembly line balancing problem itself, arising from any of a wide array of physical or technological features in modern assembly lines. Other issues are founded in the tight coupling of assembly line balancing with external production planning and management problems, as assembly lines are at the intersection of multiple related problems in …


A Laminated Ring On Elastic Foundation Model With Application To Analysis Of Tire-Road Contact, Chunjian Wang Dec 2015

A Laminated Ring On Elastic Foundation Model With Application To Analysis Of Tire-Road Contact, Chunjian Wang

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A deformable Ring on Elastic Foundation (REF) model has been widely used for modeling rotating structures such as gears, bearings and tires. This dissertation extends the existing work with three main contributions focusing on applications to tires: 1) The elastic foundation is endowed with unilateral stiffness, which leads to a nonlinear deformation dependent stiffness typical of some non-pneumatic tires; 2) The model of the deformable ring is extended from simple Timoshenko rings to a laminated orthotropic ring model, with bending, shear stiffness and extensibility in the internal layer, and transverse stiffness in the external layer; 3) Facilitated by the laminated …


Measurement Of Older And Younger Drivers' Selected Seat Position Within Their Personal Vehicles To Influence Recommended Practices For Meeting Safety Needs Of Drivers, Shayne Kelly Mcconomy Aug 2015

Measurement Of Older And Younger Drivers' Selected Seat Position Within Their Personal Vehicles To Influence Recommended Practices For Meeting Safety Needs Of Drivers, Shayne Kelly Mcconomy

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The objective of this research was to measure and understand the preferred seat position and posture of older drivers and younger drivers within their personal vehicles to influence recommended practices for meeting the safety needs of all drivers.Currently, the United States is experiencing an ageing population, whereby in 2020 nearly 40 million people over the age of 65 will be licensed drivers. In addition, crash reports show that older drivers are over represented in vehicle fatality statistics, once adjusted for vehicle miles traveled. The increased fatality rate of older drivers has been attributed to a combination of increased fragility of …


A Study Of The Effects Of Manufacturing Complexity On Product Quality In Mixed-Model Automotive Assembly, Kavit Ravindra Antani May 2014

A Study Of The Effects Of Manufacturing Complexity On Product Quality In Mixed-Model Automotive Assembly, Kavit Ravindra Antani

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The objective of this research is to test the hypothesis that manufacturing complexity can reliably predict product quality in mixed-model automotive assembly.

Originally, assembly lines were developed for cost efficient mass-production of standardized products. Today, in order to respond to diversified customer needs, companies have to allow for an individualization of their products, leading to the development of the Flexible Manufacturing Systems (FMS). Assembly line balancing problems (ALBP) consist of assigning the total workload for manufacturing a product to stations of an assembly line as typically applied in the automotive industry. Precedence relationships among tasks are required to conduct partly …


Impact-Acoustic Evaluation Method Of Internal Crack In Rubber Composite Structure, Qin Shen May 2013

Impact-Acoustic Evaluation Method Of Internal Crack In Rubber Composite Structure, Qin Shen

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The main objective of this work is to investigate the impact acoustic method as a means of nondestructive testing (NDT) for internal cracks in a rubber composite structure, such as that found in a tire. As demonstrated in this dissertation, this approach is an effective and economical alternative to the current NDT methods for tires casing integrity inspection. There are two separate aspects of the impact acoustic signals considered in this work: the impact force signal and the resultant acoustic signal. First, a contact dynamics model is developed based on the Hertz’s impact theory and modified for rubber composite materials. …