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Articles 39961 - 39990 of 196022

Full-Text Articles in Engineering

Seismic Risk Assessment Of A Steel Building Supported On Helical Pile Groups, Maryam Shahbazi, Amy B. Cerato, Emad M. Hassan, Hussam Mahmoud Jan 2022

Seismic Risk Assessment Of A Steel Building Supported On Helical Pile Groups, Maryam Shahbazi, Amy B. Cerato, Emad M. Hassan, Hussam Mahmoud

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Designing structures to be the least vulnerable within earthquake-prone areas is a serious challenge for structural engineers. One common and useful tool that structural engineers use to predict the vulnerability of a structure during an earthquake is a fragility curve. However, most structural fragility curves do not take into consideration the contribution of pile foundation systems in the structural vulnerability. Therefore, this study aims to modify existing fragility curves of a six-story fixed-base steel frame hospital building with buckling-restrained braces, to incorporate the effect of helical pile group behavior on the fragility of the structure. To that end, a finite …


Module 05: Mirrors And Fillet, Leendert Craig Jan 2022

Module 05: Mirrors And Fillet, Leendert Craig

ENGR 1110: Engineering Graphics

No abstract provided.


Module 03: Orthographic Views, Dimensioning, And Section Views, Leendert Craig Jan 2022

Module 03: Orthographic Views, Dimensioning, And Section Views, Leendert Craig

ENTC 2170: Computer Aided Design and Drafting

No abstract provided.


Module 04: Introduction To Autocad (Including Layers And Colors), Leendert Craig Jan 2022

Module 04: Introduction To Autocad (Including Layers And Colors), Leendert Craig

ENTC 2170: Computer Aided Design and Drafting

No abstract provided.


Segmentation Of Intracranial Structures From Noncontrast Ct Images With Deep Learning, Evan Porter Jan 2022

Segmentation Of Intracranial Structures From Noncontrast Ct Images With Deep Learning, Evan Porter

Wayne State University Dissertations

Presented in this work is an investigation of the application of artificially intelligent algorithms, namely deep learning, to generate segmentations for the application in functional avoidance radiotherapy treatment planning. Specific applications of deep learning for functional avoidance include generating hippocampus segmentations from computed tomography (CT) images and generating synthetic pulmonary perfusion images from four-dimensional CT (4DCT).A single institution dataset of 390 patients treated with Gamma Knife stereotactic radiosurgery was created. From these patients, the hippocampus was manually segmented on the high-resolution MR image and used for the development of the data processing methodology and model testing. It was determined that …


Data-Driven Semantic Modeling For Welding Assemblies, Fahim Ahmed Jan 2022

Data-Driven Semantic Modeling For Welding Assemblies, Fahim Ahmed

Wayne State University Dissertations

A significant information gap is prevalent between the design domain and the manufacturing domain. The designers lack manufacturing awareness as they have little knowledge regarding the manufacturability of their designs. The welding domain falls prey to this issue as designers lack manufacturing awareness and welding engineers lack weldability of the product assembly. Data-driven techniques have shown promising results in the analysis and understanding of complex welding processes. Data analytics play a significant role to turn data into valuable insights to assist in the weldability certification decision-making or weldability prediction for Resistance Spot Welding (RSW) as well. We have used machine …


Biomedical Applications Of Lanthanide Nanomaterials, For Imaging, Sensing And Therapy, Qize Zhang, Stephen O'Brien, Jan Grimm Jan 2022

Biomedical Applications Of Lanthanide Nanomaterials, For Imaging, Sensing And Therapy, Qize Zhang, Stephen O'Brien, Jan Grimm

Publications and Research

The application of nanomaterials made of rare earth elements within biomedical sciences continues to make significant progress. The rare earth elements, also called the lanthanides, play an essential role in modern life through materials and electronics. As we learn more about their utility, function, and underlying physics, we can contemplate extending their applications to biomedicine. This particularly applies to diagnosis and radiation therapy due to their relatively unique features, such as an ultra-wide Stokes shift in the luminescence, variable magnetism and potentially tunable properties, due to the library of lanthanides available and their multivalent oxidation state chemistry. The ability to …


Advanced Anti-Buckling Device Coupled With Real-Time Digital Image Correlation For Complex Cyclic Tension-Compression Testing Of Lightweight Materials, Akshat Agha, Fadi Abu-Farha Jan 2022

Advanced Anti-Buckling Device Coupled With Real-Time Digital Image Correlation For Complex Cyclic Tension-Compression Testing Of Lightweight Materials, Akshat Agha, Fadi Abu-Farha

Publications

In sheet metal forming and stamping operations, modeling the behavior of sheet metal alloys for springback prediction is known to be very challenging, not only because of the complex models needed to account for kinematic hardening (such as the Yoshida-Uemori Model) but more importantly because of the experimental limitations of our ability to perform the complex tests needed to calibrate such models. For instance, reliable monotonic uniaxial compression tests and then cyclic tension-followed-by-compression tests are essential for characterizing the response of the material under those loading conditions, providing quantitative evaluation of the Bauschinger Effect and tension/compression asymmetry in the material, …


Nebraska Water Center Annual Report 2022, Nebraska Water Center, Daugherty Water For Food Global Institute Jan 2022

Nebraska Water Center Annual Report 2022, Nebraska Water Center, Daugherty Water For Food Global Institute

Nebraska Water Center: Administrative Materials

CONTENTS

Overview: The Nebraska Water Center (https://watercenter.unl.edu)

Fast Facts: NWC 2022 Snapshot

Our Work

Water Sciences Lab Sees Rapid Growth in 2022 (https://watercenter.unl.edu/water-sciences-laboratory2)

WSL is Key to AltEn Contamination Monitoring (https://go.unl.edu/mead)

Know Your Well Project Enters Third Phase (https://knowyourwell.unl.edu)

Computer Science Students Build New Platform for Know Your Well Data Collection

Water Sciences Laboratory Helps Nebraska Tackle Nitrate (https://watercenter.unl.edu/water-sciences-laboratory2)

Nebraska Rural Poll Includes Water Quality Questions (https://ruralpoll.unl.edu and https://go.unl.edu/nitrate_strategy)

NWC Holds Platte River Basin Conference (https://watercenter.unl.edu/2022-nebraska-water-conference)

Spring Seminar Series (https://watercenter.unl.edu/spring-seminar-series)

Water Center Undergoes Five-Year …


Automatically Inferring Image Bases Of Arm32 Binaries, Daniel T. Chong Jan 2022

Automatically Inferring Image Bases Of Arm32 Binaries, Daniel T. Chong

Browse all Theses and Dissertations

Reverse engineering tools rely on the critical image base value for tasks such as correctly mapping code into virtual memory for an emulator or accurately determining branch destinations for a disassembler. However, binaries are often stripped and therefore, do not explicitly state this value. Currently available solutions for calculating this essential value generally require user input in the form of parameter configurations or manual binary analysis, thus these methods are limited by the experience and knowledge of the user. In this thesis, we propose a user-independent solution for determining the image base of ARM32 binaries and describe our implementation. Our …


Graduate School Academic Catalog 2022-2023, Graduate School Of Engineering And Management, Air Force Institute Of Technology Jan 2022

Graduate School Academic Catalog 2022-2023, Graduate School Of Engineering And Management, Air Force Institute Of Technology

AFIT Documents

The Graduate Catalog represents the offerings, programs, and requirements in effect at the time of publication.


Nanomechanical Resonators: Toward Atomic Scale, Bo Xu, Pengcheng Zhang, Jiankai Zhu, Zuheng Liu, Alexander Eichler, Xu-Qian Zheng, Jaesung Lee, Aneesh Dash, Swapnil More, Song Wu, Yanan Yanan, Hao Jia, Akshay Naik, Adrian Bachtold, Rui Yang, Philip X.-L. Feng, Zenghui Wang Jan 2022

Nanomechanical Resonators: Toward Atomic Scale, Bo Xu, Pengcheng Zhang, Jiankai Zhu, Zuheng Liu, Alexander Eichler, Xu-Qian Zheng, Jaesung Lee, Aneesh Dash, Swapnil More, Song Wu, Yanan Yanan, Hao Jia, Akshay Naik, Adrian Bachtold, Rui Yang, Philip X.-L. Feng, Zenghui Wang

Department of Electrical and Computer Engineering: Faculty Publications

The quest for realizing and manipulating ever smaller man-made movable structures and dynamical machines has spurred tremendous endeavors, led to important discoveries, and inspired researchers to venture to new grounds. Scientific feats and technological milestones of miniaturization of mechanical structures have been widely accomplished by advances in machining and sculpturing ever shrinking features out of bulk materials such as silicon. With the flourishing multidisciplinary field of low-dimensional nanomaterials, including one-dimensional (1D) nanowires/nanotubes, and two-dimensional (2D) atomic layers such as graphene/phosphorene, growing interests and sustained efforts have been devoted to creating mechanical devices toward the ultimate limit of miniaturization— genuinely down …


Tunable Blood Shunt For Neonates With Complex Congenital Heart Defects, Ellen Garver, Christopher B. Rodell, Kristen Shema, Krianthan Govender, Samantha E. Cassel, Bryan Ferrick, Gabriella Kupsho, Ethan Kung, Kara L. Spiller, Randy Stevens, Amy L. Throckmorton Jan 2022

Tunable Blood Shunt For Neonates With Complex Congenital Heart Defects, Ellen Garver, Christopher B. Rodell, Kristen Shema, Krianthan Govender, Samantha E. Cassel, Bryan Ferrick, Gabriella Kupsho, Ethan Kung, Kara L. Spiller, Randy Stevens, Amy L. Throckmorton

Publications

Despite advancements in procedures and patient care, mortality rates for neonatal recipients of the Norwood procedure, a palliation for single ventricle congenital malformations, remain high due to the use of a fixed-diameter blood shunt. In this study, a new geometrically tunable blood shunt was investigated to address limitations of the current treatment paradigm (e.g., Modified Blalock-Taussig Shunt) by allowing for controlled modulation of blood flow through the shunt to accommodate physiological changes due to the patient’s growth. First, mathematical and computational cardiovascular models were established to investigate the hemodynamic requirements of growing neonatal patients with shunts and to inform design …


The Extended Effect Of Top-Dressed Recovered Struvite Fertiliser On Residual Irish Grassland Soil Phosphorus Levels Compared To Commercial Phosphorus Fertiliser, Ciarán O’Donnell, Denise Barnett, Joe Harrington, Niamh Power Jan 2022

The Extended Effect Of Top-Dressed Recovered Struvite Fertiliser On Residual Irish Grassland Soil Phosphorus Levels Compared To Commercial Phosphorus Fertiliser, Ciarán O’Donnell, Denise Barnett, Joe Harrington, Niamh Power

Publications

Phosphorus (P) is an essential growth-limiting nutrient that cannot be synthetically produced. Mineral P fertilisers are typically applied to crops to sustain modern farming practice and food production. These fertilisers are generally derived from finite phosphate ore, for which there is much concern over long-term sustainability. To address these concerns, various technologies have been developed to recover P from municipal wastewater treatment plants. One product recovered from these processes is struvite, which is a precipitate formed of magnesium, ammonium, and phosphate. To analyse the fertilisation value of the recovered struvite, field trials were conducted on perennial ryegrass (Lolium perenne) over …


Investigating The Performance Of Green Roof For Effective Runoff Reduction Corresponding To Different Weather Patterns: A Case Study In Dublin, Ireland, Arunima Sarkar Basu, Bidroha Basu, Francesco Pilla, Srikanta Sannigrahi Jan 2022

Investigating The Performance Of Green Roof For Effective Runoff Reduction Corresponding To Different Weather Patterns: A Case Study In Dublin, Ireland, Arunima Sarkar Basu, Bidroha Basu, Francesco Pilla, Srikanta Sannigrahi

Publications

This article aims to analyse the performance of green roof in runoff reduction. A case study has been conducted through a deployed green roof at the custom house quay building in Dublin, Ireland. Modular green roofs have been deployed which have IoT scales associated to it for measuring the effective reduction in runoff. Hydro-meteorological variables such as rainfall, temperature, relative humidity and wind speed values were corresponded to the amount of runoff reduction by means of a regression-based relationship. Comparison of the observed runoff reduction from a modular green roof and that estimated based on the developed regression relationship yielded …


Optimization-Based Uav Fleet Routing And Safety Assurance – Models, Algorithms, And Prototyping, Zhenyu Zhou Jan 2022

Optimization-Based Uav Fleet Routing And Safety Assurance – Models, Algorithms, And Prototyping, Zhenyu Zhou

Wayne State University Dissertations

Unmanned aerial vehicles (UAVs), especially multi-rotor drones, have been increasingly used in various scenarios in the last decade. With the reduced hardware costs, improved battery life, and enhanced processor performance, we can eventually allow all kinds of drones to automatically travel through the low-altitude airspace. The large-scale application of drones will extend the basic transportation facilities from the ground to the air and form 3D transportation networks for the future. Compared to current ground-vehicle and aircraft traffic systems, multi-UAV systems are far from well-developed. Most current multi-UAV systems are human-operated or pre-programmed to perform specific tasks. The current application of …


Automotive Product Assortment Planning With Consideration Of Distribution Channel Dynamics, Madagedara Maduka Rushanjalee Balasooriya Jan 2022

Automotive Product Assortment Planning With Consideration Of Distribution Channel Dynamics, Madagedara Maduka Rushanjalee Balasooriya

Wayne State University Dissertations

Automotive original equipment manufacturers (OEMs) are putting a lot of effort into maintaining an efficient order catalog to offer better products to their customers in maketo-stock (MTS) markets. While product “assortment planning" research grows to more effectively identify the best assortments for OEMs, the existing configurable assortment planning literature ignores a significant dimension: the impact of distribution channels, especially dealer franchise networks. Dealers face unique challenges in trying to best satisfy the choice preferences of their local consumers by balancing their limited product configuration inventory with profitability. In many predominantly MTS automotive markets such as the U.S., the reality is …


Assessment Of Variations In Runoff Due To Landcover Changes Using The Swat Model In An Urban River In Dublin, Ireland, Arunima Sarkar Basu, Laurence William Gill, Francesco Pilla, Bidroha Basu Jan 2022

Assessment Of Variations In Runoff Due To Landcover Changes Using The Swat Model In An Urban River In Dublin, Ireland, Arunima Sarkar Basu, Laurence William Gill, Francesco Pilla, Bidroha Basu

Publications

Investigating the impact of land cover change in hydrological modelling is essential for water resources management. This paper investigates the importance of landcover change in the development of a physically-based hydrological model called SWAT. The study area considered is the Dodder River basin located in southern Dublin, Ireland. Runoff at the basin outlet was simulated using SWAT for 1993–2019 using five landcover maps obtained for 1990, 2000, 2006, 2012 and 2018. Results indicate that, in general, the SWAT model-simulated runoff for a chosen time-period are closer to the real-world observations when the landcover data used for simulation was collated as …


On-Site Analyses As A Decision Support Tool For Dredging And Sustainable Sediment Management, Bruno Lemière, Valérie Laperche, Arjan Wijdeveld, Marco Wensveen, Richard Lord, Alasdair Hamilton, Laurence Haouche, Mathieu Henry, Joe Harrington, Branislav Batel, Pascal Lehette Jan 2022

On-Site Analyses As A Decision Support Tool For Dredging And Sustainable Sediment Management, Bruno Lemière, Valérie Laperche, Arjan Wijdeveld, Marco Wensveen, Richard Lord, Alasdair Hamilton, Laurence Haouche, Mathieu Henry, Joe Harrington, Branislav Batel, Pascal Lehette

Publications

Beneficial use of dredged sediments, either in harbours or waterways, is based on their potential as alternative resources. Such sediments can be considered as bulk materials for industrial needs, which is predicated on their current waste status or meeting end-of-waste constraints. They also can be an integral part of beneficial use projects using sediments as a bulk component, including civil engineering and landscaping. This is particularly important for beneficial use projects focusing on climate change effects mitigation, such as flood protection works, coastline defence or littoral urban areas redevelopment. When dredged sediment is used as a bulk material, its acceptability …


The Role Of Ball Backspin Alignment And Variability In Basketball Shooting Accuracy, Nathan Slegers, Dave Love Jan 2022

The Role Of Ball Backspin Alignment And Variability In Basketball Shooting Accuracy, Nathan Slegers, Dave Love

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

Interaction between the shooting hand and ball at the moment a basketball is released generates a three dimensional backspin of the ball. This study is the first to investigate how characteristics of the backspin alignment and variability contribute to lateral shooting accuracy. Spin axis (SA) direction and backspin magnitude were measured on 25 shot attempts for 26 collegiate basketball players (male: n = 16, female: n = 10). The mean SA alignment, as viewed from the shooting hand side, was found to be tipped down and towards the target (p < 0.001). Standard deviations (SD) in the SA alignment were strong predictors of lateral accuracy (vertical SD: r = 0.80, p < 0.001, forward-backward SD: r = 0.51, p = 0.01), with variation in the vertical alignment being the best predictor. No significant correlation between mean SA misalignment and lateral accuracy was observed. However, intra-individual relationships between SA misalignment and lateral error revealed that individuals tended to have 0.17 degrees more misalignment for each cm of lateral error (p < 0.001, 95% CI: 0.24–0.09). These indicate that while an individual’s mean alignment may not predict lateral accuracy, improving one’s SA alignment and reducing alignment variability may increase lateral accuracy.


Multiscale Simulation And Machine Learning-Assisted Performance Prediction For Cementitious Composites, Gideon A. Lyngdoh Jan 2022

Multiscale Simulation And Machine Learning-Assisted Performance Prediction For Cementitious Composites, Gideon A. Lyngdoh

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

Concrete is the most widely used construction material in the world for building infrastructures, bridges, and tunnels. However, cement production contributes to 5-7% of the global CO2 emissions, and thus, there is a significant need for innovative sustainable alternatives without compromising on the mechanical properties. Most of the approaches to address these concerns so far rely on the trial and error-based experimental response. Hence, robust multiscale simulation-based design approaches are needed to be developed for fundamental understanding as well as the comprehensive design of these new sustainable innovative materials. However, performing the simulations with millions of degrees of freedom could …


What Are The Desired Properties Of Recycling-Derived Fertilisers From An End-User Perspective?, Aoife Egan, Amrita Saju, Ivona Sigurnjak, Erik Meers, Niamh Power Jan 2022

What Are The Desired Properties Of Recycling-Derived Fertilisers From An End-User Perspective?, Aoife Egan, Amrita Saju, Ivona Sigurnjak, Erik Meers, Niamh Power

Publications

The circular economy aims to promote the use of recycled products and to close the nutrient cycle loop by avoiding nutrient leakage and detrimental environmental effects, while also reducing the dependency on fossil fuels. The production of nitrogen is energy-intensive, requiring natural gas, whereas, finite resources like phosphorus and potassium are mined. Recent developments in nutrient recovery technologies have resulted in different types of recycling-derived fertilisers (RDFs) with the potential to substitute commonly used synthetic mineral fertilisers. This study aims to understand perceptions and preferences regarding the properties and parameters that end-users find important in RDFs. A better understanding of …


A Downscaled Economic Model Validated And Applied To Sediment Management Projects In Ireland And Scotland, Joe Harrington, R O'Sullivan, A Hamilton, Requested Lord, K Torrance, A Wijdeveld, T Debuigne, E Masson, B Batel Jan 2022

A Downscaled Economic Model Validated And Applied To Sediment Management Projects In Ireland And Scotland, Joe Harrington, R O'Sullivan, A Hamilton, Requested Lord, K Torrance, A Wijdeveld, T Debuigne, E Masson, B Batel

Publications

Purpose

This paper presents a regionally downscaled economic model developed to assess the impacts of the management of dredged sediments on Gross Domestic Product (GDP) and jobs created; the model is validated and applied using real project data from sediment management projects in Ireland and Scotland. The model provides significant insight into and allows impact analysis for the economic aspect of sediment management projects with the potential to facilitate and inform stakeholders across the sediment management sector.

Methods

The economic model facilitates regional analysis of the impacts of sediment management projects on GDP and job creation for direct, indirect and …


Assessment Of Climate Change Impact On The Annual Maximum Flood In An Urban River In Dublin, Ireland, Arunima Sarkar Basu, Laurence William Gill, Francesco Pilla, Bidroha Basu Jan 2022

Assessment Of Climate Change Impact On The Annual Maximum Flood In An Urban River In Dublin, Ireland, Arunima Sarkar Basu, Laurence William Gill, Francesco Pilla, Bidroha Basu

Publications

Hydrological modelling to address the problem of flood risk corresponding to climate change can play an important role in water resources management. This paper describes the potential impact of climate change on an urban river catchment using a physically based hydrological model called Soil Water Assessment Tool (SWAT). The study area considered is the Dodder River basin located in the southern part of Dublin, the capital city of Ireland. Climate projections from three regional climate models and two representative concentration pathways (RPC 4.5 and RCP 8.5) were used to evaluate the impact of flooding corresponding to different climate change scenarios. …


Dielectrophoretic Trapping Of Carbon Nanotubes For Temperature Sensing, Kaylee Burdette Jan 2022

Dielectrophoretic Trapping Of Carbon Nanotubes For Temperature Sensing, Kaylee Burdette

Theses, Dissertations and Capstones

Conventional sensors are rapidly approaching efficiency limitations at their current size. In designing more efficient sensors, low dimensional materials such as carbon nanotubes (CNTs), quantum dots, and DNA origami can be used to enable higher degrees of sensitivity. Because of the high atomic surface to core ratio, these materials can be used to detect slight changes in chemical composition, strain, and temperature. CNTs offer unique advantages in different types of sensors due to their electromechanical properties. In temperature sensing, the high responsiveness to temperature and durability can be used to produce an accurate, reliable sensor in even extreme temperatures. This …


Some Insights On Flow Over Sharp-Crested Weirs Using Computational Fluid Dynamics: Implications For Enhanced Flow Measurement, Joseph M. Sinclair, S. Karan Venayagamoorthy, Timothy K. Gates Jan 2022

Some Insights On Flow Over Sharp-Crested Weirs Using Computational Fluid Dynamics: Implications For Enhanced Flow Measurement, Joseph M. Sinclair, S. Karan Venayagamoorthy, Timothy K. Gates

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study reexamines flow over a sharp-crested weir using computational fluid dynamics (CFD) to identify the optimal operating range under which the weir functions with accuracy as a free-flowing measurement device. A numerical parametric study was conducted for two separate channel and weir geometries under a range of flow rates resulting in different h/P values, where h is the elevation head over the weir crest, and P is the weir height. Analysis of velocity and pressure profiles over the weir revealed three distinct flow regimes: a high acceleration regime, an ideal operating regime, and a weir-inundated regime that may lead …


Stretchable Sensor Comprising Perovskite And Mechanoluminescence Materials For Structural Health Monitoring, Md Abu Sayeed Shohag Jan 2022

Stretchable Sensor Comprising Perovskite And Mechanoluminescence Materials For Structural Health Monitoring, Md Abu Sayeed Shohag

Engineering and Technology

No abstract provided.


Improving Or Operations Using Machine Learning Techniques, Tannaz Khaleghi Jan 2022

Improving Or Operations Using Machine Learning Techniques, Tannaz Khaleghi

Wayne State University Dissertations

Recently, health care related studies are being widely conducted by researchers using unique and efficient techniques to increase system profitability, quality of care, and patient satisfaction. Surgery department is considered as the hospital's engine, and cost of surgical services has a huge impact on the overall profitability of the hospital. This thesis proposes novel approaches to improve the efficiency of surgical services by using machine learning concepts.

In the first part, this research investigates the prediction of the surgery durations and Current Procedural Terminology (CPT) Codes. Accurate prediction of the surgery duration will improve the utilization of indispensable surgical resources …


There From The Beginning: The Women Of Los Alamos National Laboratory Supporting National And International Nuclear Security, Olga Martin, Laura Mcclellan, Octavio Ramos, Heather Quinn Jan 2022

There From The Beginning: The Women Of Los Alamos National Laboratory Supporting National And International Nuclear Security, Olga Martin, Laura Mcclellan, Octavio Ramos, Heather Quinn

International Journal of Nuclear Security

From the beginning of the Manhattan Project in the early 1940s, the women of what would become Los Alamos National Laboratory (LANL) worked in technical positions alongside their male counterparts, played a key role as computers, and worked in administrative jobs as secretaries, phone operators, bookkeepers, and on behalf of the U.S. Army in the Women’s Army Corps.

Throughout the history of the Laboratory, women experts at LANL helped establish and lead important national and international security programs, with careers in science, technology, engineering, and mathematics. Over time, the women of Los Alamos have come together under various Employee Resource …


Rc Baja Drivetrain And Steering, Jacob Swift Jan 2022

Rc Baja Drivetrain And Steering, Jacob Swift

All Undergraduate Projects

The goal of this project is to construct a small remote-control vehicle that is capable of fluid, controlled and precise movement. In order to allow the smooth movement of an RC Car through an obstacle course, the back wheels of the car must be able to receive power and the front wheels must be able to turn. This chassis and suspension that supported these assemblies was designed by project partner Sean Gordon. Design requirements were as follows:

  • Drivetrain and Steering systems must weigh a combined

  • Drivetrain must produce a maximum output speed >=20mph

  • Turning angle of no less than 45 …