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Full-Text Articles in Engineering

Effect Of Automation Level On Cognitive Workload When Collaborating With A Robotic Assistant, Mitchell A. Champagne May 2022

Effect Of Automation Level On Cognitive Workload When Collaborating With A Robotic Assistant, Mitchell A. Champagne

LSU Master's Theses

Manufacturing robotics have been used for decades to perform repetitive tasks, or tasks that require increased levels of speed, strength, or precision to meet production and specification requirements. Determining the appropriate degree of automation for both the human and robot collaborative team members is critical to optimize production as well as user experience. If the degree of automation is too high, the human will be out of the loop which can result in the loss of situational awareness and be detrimental to intervention time and accuracy. If the degree of automation is too low, then the human may experience greater ...


Sub-Nyquist Optical Pulse Sampling For Photonic Blind Source Separation, Taichu Shi, Yang Qi, Weipeng Zhang, Paul Prucnal, Ben Wu May 2022

Sub-Nyquist Optical Pulse Sampling For Photonic Blind Source Separation, Taichu Shi, Yang Qi, Weipeng Zhang, Paul Prucnal, Ben Wu

Henry M. Rowan College of Engineering Faculty Scholarship

We propose and experimentally demonstrate an optical pulse sampling method for photonic blind source separation. The photonic system processes and separates wideband signals based on the statistical information of the mixed signals, and thus the sampling frequency can be orders of magnitude lower than the bandwidth of the signals. The ultra-fast optical pulses collect samples of the signals at very low sampling rates, and each sample is short enough to maintain the statistical properties of the signals. The low sampling frequency reduces the workloads of the analog to digital conversion and digital signal processing systems. In the meantime, the short ...


Impact Of The Ban On Illegal Mining Activities On Raw Water Quality: A Case-Study Of Konongo Water Treatment Plant, Ashanti Region Of Ghana, Sadique Anyame Bawa, Prince Antwi-Agyei, Martin Kyereh Domfeh May 2022

Impact Of The Ban On Illegal Mining Activities On Raw Water Quality: A Case-Study Of Konongo Water Treatment Plant, Ashanti Region Of Ghana, Sadique Anyame Bawa, Prince Antwi-Agyei, Martin Kyereh Domfeh

Journal of Sustainable Mining

The Government of Ghana prohibited Artisanal and Small-Scale Mining (ASM) operations from 2017 to 2018 as part of its strategy to address the socio-environmental issues caused by illegal mining activities, also referred to as “galamsey” operations. This study assessed the trend in the water quality of raw water abstracted at the Konongo Water Treatment Plant (WTP) for treatment before and after implementing the ban on “galamsey” operations. The main source of raw water for the Konongo WTP is the Anuru River. Secondary data on physicochemical water quality from 2006 to 2019 was sourced from the Konongo WTP and the Ashanti ...


Improved Methodology For Monitoring The Impact Of Mining Activities On Socio-Economic Conditions Of Local Communities, Binay Prakash Pandey, Devi Prasad Mishra May 2022

Improved Methodology For Monitoring The Impact Of Mining Activities On Socio-Economic Conditions Of Local Communities, Binay Prakash Pandey, Devi Prasad Mishra

Journal of Sustainable Mining

Mining activities can cause tangible socio-economic improvements in the surrounding regions. Such potential has not been fully realized, owing to the fact that the socio-economic impact assessment processes exercised in India merely predict the footprint of industrial activity on the surrounding population. Consequently, project proponents are mandated to implement a management plan in cases of foreseeable negative consequences. However, both, the assessment study, as well as the process of implementation of a management plan, are riddled with significant gaps and limitations. Primary data collected for this research makes it apparent that, in comparison to the revenue generated from the mining ...


Black Beyond Measure: An Antideficit Exploration Of Cultural Capital Within A National Society Of Black Engineers (Nsbe) Chapter At A Predominantly White Institution (Pwi), Rhonda Harley May 2022

Black Beyond Measure: An Antideficit Exploration Of Cultural Capital Within A National Society Of Black Engineers (Nsbe) Chapter At A Predominantly White Institution (Pwi), Rhonda Harley

Dissertations

Historically, Black students have been excluded from Predominately White institutions (PWI) longer than welcomed to attend and matriculate (Harper et al., 2009). Due to this lack of inclusion, African American students' educational experiences often center on academic disparities, inequality of opportunity, and under-preparedness in career planning within the American education system. While there has been a fair amount of research on the lack of representation of Black students in the engineering disciplines, the heavy focus on quantitative data offers little insight into the unique ways students succeed and overcome institutional and systemic barriers in pursuit of their degree. Undergraduate experiences ...


Classification Of Internet Advertisement, Biswajit Biswal, Banasmita Subhadarshini, Sasmita Jena, Binita Kumari May 2022

Classification Of Internet Advertisement, Biswajit Biswal, Banasmita Subhadarshini, Sasmita Jena, Binita Kumari

Graduate Research in Engineering and Technology (GRET)

The investigation of web ad is vital now daily in human existence. Commercial and their connected regions are economy concern business has become an outstanding field in the wide spread region. Publicizing area are producing part of data and information which help to comprehend and should be examination, propositions information are should change over into significant information. To utilize these clients' data, settle on future choice and accomplish powerful choices, these choices help to comprehend client's need and utilization of the labour and products. Utilize client's information and carry out information mining strategies to get familiar with clients ...


Speech Emotion Recognition System Using Librosa For Better Customer Experience, Subhadarshini Mohanty, Subasish Mohapatra, Amlan Sahoo May 2022

Speech Emotion Recognition System Using Librosa For Better Customer Experience, Subhadarshini Mohanty, Subasish Mohapatra, Amlan Sahoo

Graduate Research in Engineering and Technology (GRET)

Call center employees usually depend on instinct to judge a potential customer and how to pitch to them. In this paper, we pitch a more effective way for call center employees to generate more leads and engagement to generate higher revenue by analyzing the speech of the target customer by using machine learning practices and depending on data to make data-driven decisions rather than intuition. Speech Emotion Recognition otherwise known as SER is the demonstration of aspiring to perceive human inclination along with the behavior. Normally voice reflects basic feeling through tone and pitch. According to human behavior, many creatures ...


Forecasting The Time Delay In Delivery Of Pharmaceutical Products, Subhalaxmi Hotta, Sonali Sahoo, Tripti Swarnkar May 2022

Forecasting The Time Delay In Delivery Of Pharmaceutical Products, Subhalaxmi Hotta, Sonali Sahoo, Tripti Swarnkar

Graduate Research in Engineering and Technology (GRET)

Supply chain management system is a centralized system which controls and plans the activities involved from production to delivery of a product. Disruption in treatment and loss of life occurs due to delay in delivery of pharmaceutical products. The objective is to do a model using Machine learning algorithms to determine: Classification to predict which product will be delayed and Regression shows how much time it will be delayed exactly. This study will use publicly available supply chain data which helps to identify primary aspect of predicting whether HIV drugs are delivered in time or not. It will then use ...


Fortune Of Smart-Phones By A Model Recommendation, Sonali Sahoo, Subhalaxmi Hotta, Tripti Swarnkar May 2022

Fortune Of Smart-Phones By A Model Recommendation, Sonali Sahoo, Subhalaxmi Hotta, Tripti Swarnkar

Graduate Research in Engineering and Technology (GRET)

In recent market, there are several cell phones available, Smart phones differ based on their Operating system. Here we are going to do a comparison between two Operating systems i.e., “IOS and ANDROID”. The comparison starts including the basic features of smart phones. The features are varying from each other. Some of them are categorical and some are numerical. According to these data, classify the smart phones using machine learning classification model. After the classification we are going to analyse which operating system-based Smartphone will be taken for further classification. A “Recommendation system”, will be designed which recommend a ...


Iot In Healthcare Domain, Manisha Banka, Ankita Mishra, Sushreeta Tripathy May 2022

Iot In Healthcare Domain, Manisha Banka, Ankita Mishra, Sushreeta Tripathy

Graduate Research in Engineering and Technology (GRET)

In the current scenario, the Internet of Things (IoT) is an emerging technology. IoT is a new pattern that has changed the long-established way of living into a modernistic life style. IoT is the network of physical objects, which enables to collect data and exchange it without human intervention. In general, IoT has been established to interlink the latest healthcare resources and to provide smart and efficient healthcare facilities to the people. IoT allows objects to be sensed and controlled remotely across existing network infrastructure. Health maintenance has become a considerable socio-economic concern when it comes to health expenses, need ...


Application Of Text Mining In Social Media, Gopal Krushna Padhi, Sushreeta Tripathy May 2022

Application Of Text Mining In Social Media, Gopal Krushna Padhi, Sushreeta Tripathy

Graduate Research in Engineering and Technology (GRET)

Text mining or information discovery is that sub manner of information mining that is extensively being used to find out hidden styles and huge records from the massive amount of unstructured written fabric. Text mining allows accelerate know-how discovery by way of notably growing the amount records that can be analyzed. Rapid development in digital facts acquisition strategies have caused huge extent of facts. More than 80 percentages of these day’s statistics is composed of unstructured or semi-based information. This sort of data cannot be used until or unless particular records or pattern is determined. The discovery of appropriate ...


A Machine Learning Based Drug Recommendation System For Health Care, Mahima Mohapatra, Mamata Nayak, Saswati Mahapatra May 2022

A Machine Learning Based Drug Recommendation System For Health Care, Mahima Mohapatra, Mamata Nayak, Saswati Mahapatra

Graduate Research in Engineering and Technology (GRET)

In today’s digital era healthcare is one among the major core areas of the medical domain. People trying to find suitable health-related information that they are concerned with. The Internet could be a great resource for this kind of data, however you need to take care to avoid getting harmful information. Nowadays, a colossal quantity of clinical information dispersed totally across different websites on the Internet prevents users from finding useful information for their well-being improvement. Errors in medication are one of the foremost severe medical faults that would be a threat to patients’ lives. These problems increases the ...


Benford’S Law For Data Cleaning In Big Data, Prachurya Ray May 2022

Benford’S Law For Data Cleaning In Big Data, Prachurya Ray

Graduate Research in Engineering and Technology (GRET)

With the exponential increase in data, the need to authenticate the integrity accuracy of the data also increases. Regarded as a mysterious law, Benford's Law has seen many use cases over the centuries ranging from detecting fraud in accounting to checking for GAN generated images. This First digit law has helped finding anomalies in various data across many domains. This paper summarizes what this mysterious law is and implements the same to asteroid data to check for the pattern. This law has the potential to handle the growing need for authenticity for the big data revolution. Further research on ...


A Proper Borehole Pattern Design For Coal Seam Methane Drainage In Tabas Coal Mine Using Comsol Multiphysics, Ali Bagherzadeh, Mehdi Najafi, Mohammad Fatehi Marji, Mehdi Noroozi May 2022

A Proper Borehole Pattern Design For Coal Seam Methane Drainage In Tabas Coal Mine Using Comsol Multiphysics, Ali Bagherzadeh, Mehdi Najafi, Mohammad Fatehi Marji, Mehdi Noroozi

Journal of Sustainable Mining

Optimizing the operational parameters of the borehole pattern in the coal seam includes the maximum amount of gas to be drained with the least amount of drilling, investment, and drainage time. The main purpose of this research is to properly design the drainage borehole pattern in the C1 coal seam of the Tabas coal mine. In this research, the Comsol Multiphysics software was used for numerical modeling of the boreholes. According to the method of diffusion of methane gas in a coal seam, the reduction of methane gas concentration and the amount of gas released from the coal blocks were ...


In Situ Observations Of Fish Attraction To Light-Emitting Diodes On An Undersea Observation Deck, Makoto Tomiyasu, Yoko Tanouchi, Yasuzumi Fujimori, Minato Kaji, Takuma Hayashi, Naoto Matsubara, Hiroki Yasuma, Susumu Shimizu, Seiji Katakura May 2022

In Situ Observations Of Fish Attraction To Light-Emitting Diodes On An Undersea Observation Deck, Makoto Tomiyasu, Yoko Tanouchi, Yasuzumi Fujimori, Minato Kaji, Takuma Hayashi, Naoto Matsubara, Hiroki Yasuma, Susumu Shimizu, Seiji Katakura

Journal of Marine Science and Technology

Many fisheries employ fishing lights to manipulate the behaviors of target fish and to attract them toward the light; however, relatively few long-time observations of fish attraction have been performed in the field. Here, an underwater observation deck was used to examine the differences in the fish-attracting effect of light-emitting diode (LED) lights on the number of attracted fish and on their behavior in the field, using white-edged rockfish as the target species. A total of 604 ± 324, 307 ± 203 and 171 ± 106 white-edged rockfish individuals were attracted to the observation window when it was illuminated with blue, green, and ...


Inter-Annual Variability In Growth And Maturation Of The Swordtip Squid Uroteuthis Edulis In Yilan Bay Off Northeastern Taiwan, Jing-Yu Chen, Tzu-Yun Ching, Chih-Shin Chen May 2022

Inter-Annual Variability In Growth And Maturation Of The Swordtip Squid Uroteuthis Edulis In Yilan Bay Off Northeastern Taiwan, Jing-Yu Chen, Tzu-Yun Ching, Chih-Shin Chen

Journal of Marine Science and Technology

The swordtip squid Uroteuthis edulis, distributed in the temperate and tropical neritic waters in the Indo-Pacific region, is a crucial component of marine ecosystems and is a target species of fisheries in the Northwest Pacific. Although studies have elucidated the growth and maturation of the squid in the southern East China Sea (ECS) shelf, few have assessed the population biology of the squid in waters in the vicinity of the southern ECS. We collected samples of swordtip squid from a trawler in Yilan Bay (YLB) between January 2011 and December 2012 to examine the growth and maturation of the squid ...


Study On The Improved Radiation Boundary Conditions Based On The Quadratic B-Spline Rankine Panel Method, Ming-Chung Fang, Chun-Hsien Wu May 2022

Study On The Improved Radiation Boundary Conditions Based On The Quadratic B-Spline Rankine Panel Method, Ming-Chung Fang, Chun-Hsien Wu

Journal of Marine Science and Technology

This study presents a higher-order Rankine source method that is based on a biquadratic B-spline scheme with an improved radiation boundary condition. This method solves flow problems under all conditions, where , including the undercritical condition ( < 0.25); this condition is present when a ship undergoes slow translational motion. The proposed method is thus more flexible than the many Rankine-source models in the literature that are applicable only to the overcritical condition ( > 0.25). Specifically, the improved radiation boundary condition is derived from upstream Seto radiation boundary conditions and by incorporating the Rayleigh damping distribution over a free surface; the improved condition is explicit and efficient for solving flow problems. In evaluations, the proposed method yields accurate solutions for unsteady flows, which are produced by an oscillating, translationally moving submerged singularity. The method is also compared against ...


Sensitive Analysis Of The Static Response Of Compliant Vertical Access Risers, Fuheng Li, Haiyan Guo, Xiaomin Li, Honglu Gu May 2022

Sensitive Analysis Of The Static Response Of Compliant Vertical Access Risers, Fuheng Li, Haiyan Guo, Xiaomin Li, Honglu Gu

Journal of Marine Science and Technology

Compliant vertical access risers (CVARs) are considered as efficient and robust alternative options to achieve cost efficiency and safety. Design uncertainties emerge owing to the limited understanding of the effects of various parameters related to the structural properties and marine loads. In this paper, a reasonable three-dimensional (3D) numerical model of CVAR with internal flow is presented based on the slender rod theory. Accordingly, the finite element method combined with a Newton-Raphson scheme is employed to discretize and solve the equations. A sensitivity analysis is performed to investigate the influence of the structural and external load parameters on the static ...


Influence Of Boundary Conditions And Internal Fluid Types On Dynamic Characteristics Of A Deepwater Riser, Lei Guo, Zong-Ming Zhu, Zhong-Jian Pan, Zhi-Ming Guo May 2022

Influence Of Boundary Conditions And Internal Fluid Types On Dynamic Characteristics Of A Deepwater Riser, Lei Guo, Zong-Ming Zhu, Zhong-Jian Pan, Zhi-Ming Guo

Journal of Marine Science and Technology

Deepwater Steel Catenary Riser (DSCR) is the key structure of oil and gas production system in the ocean. To design an optimized DSCR system, the dynamic characteristics of the DSCR are analyzed by setting some different boundary condi-tions and internal fluid types. The main vibration mode of the DSCR is found orthogonal to both mass and stiffness according to the normalization condition of the main mode, and then the regular mode function and the jth order principal stiffness Kpj are obtained. Under different initial conditions, the transverse responses of DSCR represented by regular coordinates under arbitrary excitation are obtained. Then ...


Variance Of Td-Mosaic Dual-Vortex Interactions Between In-Fa And Cempaka (2021) In The North Pacific, Tsorng-Lin Chia, Guang-Yang Pan, Ji-Chyun Liu May 2022

Variance Of Td-Mosaic Dual-Vortex Interactions Between In-Fa And Cempaka (2021) In The North Pacific, Tsorng-Lin Chia, Guang-Yang Pan, Ji-Chyun Liu

Journal of Marine Science and Technology

A study of the different types of dual-vortex interactions or “Fujiwara effects” between two storms is crucial for considerably improving weather forecasts. This study combined remote sensing images, empirical formulas based on the possibility of storm interaction (Liou–Liu formula), and vector addition techniques to accurately analyze In-Fa and Cempaka typhoons and the surrounding weather patterns during the 2021 typhoon season in the North Pacific. Although the distance separating the typhoons In-Fa and Cempaka was 1,800–2,040 km, the influence of middle air flow and a tropical depression (TD) caused a "vector superposition TD-mosaic double-vortex" interaction between the ...


Optimal Deployment Of Flood Emergency Response Materials Under Stochastic Demands, Shangyao Yan, Jenn-Rong Lin, Chia-Fu Ku May 2022

Optimal Deployment Of Flood Emergency Response Materials Under Stochastic Demands, Shangyao Yan, Jenn-Rong Lin, Chia-Fu Ku

Journal of Marine Science and Technology

This study aims to develop a planning model for the deployment of flood emergency response materials under stochastic demands. For ease of modeling, a deterministic demand model is first proposed, from which the stochastic model is further extended. These models are used to determine the allocation of materials the transport truck routes and distribution of the stockpiled materials to emergency sites. The models are formulated as multiple integer network flow problems with special side constraints which are characterized as NP-hard in terms of optimization. To solve the complicated stochastic model efficiently, we also develop a solution algorithm based on a ...


Design Of An Offner-Chrisp Imaging Spectrometer For A Planetary Fluorescence Instrument, Tristan Wells Carlson May 2022

Design Of An Offner-Chrisp Imaging Spectrometer For A Planetary Fluorescence Instrument, Tristan Wells Carlson

McKelvey School of Engineering Theses & Dissertations

Spectrometers have been an integral part of space exploration in the late 20th and 21st centuries and will continue to provide quantitative measurements to answer exciting questions like, “Is or was there life on other planets?” PERISCOPE, Probe for Exploring Regolith and Ice by Subsurface Classification of Organics, Polycyclic aromatic hydrocarbons, and Elements, is a next generation spectrometer designed to explore icy worlds like Europa. It uses time-resolved ultraviolet (UV) fluorescence spectroscopy, a technique that identifies organic molecules, polycyclic aromatic hydrocarbons (PAH), and rare earth elements (REE). Photon wavelength discrimination is very important for this technique and is accomplished by ...


Application Of Neural Networks To Predict Patient-Specific Cellular Parameters In Computational Cardiac Models, Chang Hi Lee May 2022

Application Of Neural Networks To Predict Patient-Specific Cellular Parameters In Computational Cardiac Models, Chang Hi Lee

McKelvey School of Engineering Theses & Dissertations

Sudden cardiac death(SCD) is a significant cause of death that accounts for more than 180,000 deaths in the US and 4 million deaths worldwide annually. SCDs are mainly caused by irregular heartbeats called arrhythmias, which are caused by abnormal electrical activity within the heart. Precision medicine, in the form of personalized computational cardiac models of a patient’s heart, can suggest optimal therapies for cardiac arrhythmias. Prior work has used finite element meshes derived from cardiac MRIs to simulate cardiac electrical activity. In this study, I sought to augment this approach by developing a neural network to learn ...


Hydrodynamic Limitations To Mangrove Seedling Retention In Subtropical Estuaries, Kelly M. Kibler, Christian Pilato, Linda Walters, Melinda Donnelly, Jyotismita Taye May 2022

Hydrodynamic Limitations To Mangrove Seedling Retention In Subtropical Estuaries, Kelly M. Kibler, Christian Pilato, Linda Walters, Melinda Donnelly, Jyotismita Taye

Flow-biota Interaction and Natural Infrastructure Design

Mangrove forest sustainability hinges upon propagule recruitment and seedling retention. This study evaluates biophysical limitations to mangrove seedling persistence by measuring anchoring force of two mangrove species (Rhizophora mangle and Avicennia germinans). Anchoring force was measured in 362 seedlings via lateral pull-tests administered in mangrove forests of two subtropical estuaries and in laboratory-based experiments. Removal mechanism varied with seedling age: newly-established seedlings failed due to root pull-out while seedlings older than 3 months failed by root breakage. Anchoring force of R. mangle seedlings was consistently and significantly greater than A. germinans (GLM: p = 0.002), however force to remove A ...


Application Of Crowdsourcing And Machine Learning To Predict Sentiments In Textual Student Feedback In Large Computer Science Classes, Robert Kasumba May 2022

Application Of Crowdsourcing And Machine Learning To Predict Sentiments In Textual Student Feedback In Large Computer Science Classes, Robert Kasumba

McKelvey School of Engineering Theses & Dissertations

With the increasing enrollment numbers into popular computer science courses, there is a need to bridge the similarly increasing feedback gap between individual students and course instructors. One way to address this challenge is for instructors to collect feedback from students in form of textual reviews or unit-of-study reflections – however, manually reading these reviews is time-consuming, and self-reported Likert scale responses are noisy. Rule-based approaches to sentiment analysis such as VADER (Valence Aware Dictionary and sEntiment Reasoner) have been used to capture the sentiments conveyed in textual feedback, they however fail to capture contextual differences as many words have different ...


Scaling And Placing Distributed Services On Vehicle Clusters In Urban Environments, Kanika Sharma, Bernard Butler, Brendan Jennings May 2022

Scaling And Placing Distributed Services On Vehicle Clusters In Urban Environments, Kanika Sharma, Bernard Butler, Brendan Jennings

Articles

Many vehicles spend a significant amount of time in urban traffic congestion. Due to the evolution of autonomous vehicles, driver assistance systems, and in-vehicle entertainment, these vehicles have plentiful computational and communication capacity. How can we deploy data collection and processing tasks on these (slowly) moving vehicles to productively use any spare resources? To answer this question, we study the efficient placement of distributed services on a moving vehicle cluster. We present a macroscopic flow model for an intersection in Dublin, Ireland, using real vehicle density data. We show that such aggregate flows are highly predictable (even though the paths ...


Graph-Based Heuristic Solution For Placing Distributed Video Processing Applications On Moving Vehicle Clusters, Kanika Sharma, Bernard Butler, Brendan Jennings May 2022

Graph-Based Heuristic Solution For Placing Distributed Video Processing Applications On Moving Vehicle Clusters, Kanika Sharma, Bernard Butler, Brendan Jennings

Articles

Vehicular fog computing (VFC) is envisioned as an extension of cloud and mobile edge computing to utilize the rich sensing and processing resources available in vehicles. We focus on slow-moving cars that spend a significant time in urban traffic congestion as a potential pool of onboard sensors, video cameras, and processing capacity. For leveraging the dynamic network and processing resources, we utilize a stochastic mobility model to select nodes with similar mobility patterns. We then design two distributed applications that are scaled in real-time and placed as multiple instances on selected vehicular fog nodes. We handle the unstable vehicular environment ...


Optimal Design Of Bacterial Carpets For Fluid Pumping, Minghao W. Rostami, Weifan Liu, Amy Buchmann, Eva Strawbridge, Longhua Zhao May 2022

Optimal Design Of Bacterial Carpets For Fluid Pumping, Minghao W. Rostami, Weifan Liu, Amy Buchmann, Eva Strawbridge, Longhua Zhao

Biology and Medicine Through Mathematics Conference

No abstract provided.


Implementation Of A Least Squares Method To A Navier-Stokes Solver, Jada P. Lytch, Taylor Boatwright, Ja'nya Breeden May 2022

Implementation Of A Least Squares Method To A Navier-Stokes Solver, Jada P. Lytch, Taylor Boatwright, Ja'nya Breeden

Rose-Hulman Undergraduate Mathematics Journal

The Navier-Stokes equations are used to model fluid flow. Examples include fluid structure interactions in the heart, climate and weather modeling, and flow simulations in computer gaming and entertainment. The equations date back to the 1800s, but research and development of numerical approximation algorithms continues to be an active area. To numerically solve the Navier-Stokes equations we implement a least squares finite element algorithm based on work by Roland Glowinski and colleagues. We use the deal.II academic library , the C++ language, and the Linux operating system to implement the solver. We investigate convergence rates and apply the least squares ...


Aerodynamics Of Forward Swept Wing., Muqeeth Sharif, Mohammed Abbas, Mukarram Hussain May 2022

Aerodynamics Of Forward Swept Wing., Muqeeth Sharif, Mohammed Abbas, Mukarram Hussain

Graduate Research in Engineering and Technology (GRET)

A forward-swept wing is an aircraft wing configuration in which the quarter-chord line of the wing has a forward sweep. Typically, the leading edge also sweeps forward. Forward swept wing is proposed with the goal of enhancing performance and controllability during high angle of attack perching maneuvers. Data is presented from a series of XFLR5 analysis to qualify the aerodynamic effect of forward swept over a range of angle of attack from -25º to +75º. Various graphs were obtained during this analysis which indicates that the forward swept wing configuration can achieve qualitatively different low cost perching maneuvers.