Engineering Commons^™

Origami And Kirigami-Inspired Sandwich Panels For Uam Primary Structural Applications, Kalyan Raj Kota, Juhyeong Lee

Mechanical and Aerospace Engineering Faculty Publications

Foldcore sandwich panels (FSPs) provide highly tailorable structural and multifunctional performance over legacy sandwich panels made with honeycomb or foam cores. In FSP manufacturing, skins and foldcore are made from any flat sheets of unitary or hybrid materials, folded into a desired pattern. Two common folding mechanisms include origami and kirigami: origami core is involved with folding only, while kirigami core is associated with a strategic combination of folding and cutting. Material and core geometry can be determined to satisfy the applications’ performance requirements. Overall, origami- or kirigami-inspired FSPs have the potential to revolutionize the ways to design and …

Wing-Shaped Leading-Edge Stealth Composites Using An Over-Expanded Honeycomb Core And A Periodic Pattern Etched On Ni-Coated Glass Fabric For Lightning Strike Protection, Seonghaeng Heo, Hannah Jang, Shanigaram Mallesh, Dongjun Hong, Byeongsu Kwak, Juhyeong Lee, Youngwoo Nam

Mechanical and Aerospace Engineering Faculty Publications

This paper proposes an RF-stealth sandwich composite, designed in a leading-edge shape, using Ni-coated glass fabric and an over-expanded honeycomb core, which incorporates a highly conductive nickel-coated glass fabric for lightning strike protection. The presented structure was designed and fabricated using nickel-coated glass fiber, which effectively absorbs electromagnetic (EM) waves, and an SWCNT-coated over-expanded honeycomb core, which improves sheet resistance properties. The designed RAS was subjected to an artificial lightning strike with the waveform of component A. Pristine and damaged RAS specimens from the artificial lightning strikes were measured using a free-space measurement system. The fabricated RAS specimens demonstrated satisfactory …

Multiscale Analysis Of Thermal Barrier Coated Cfrp Composites Under Thermal Loading, Devin Nielsen, Trenton M. Ricks, Juhyeong Lee

Mechanical and Aerospace Engineering Student Publications and Presentations

Carbon-fiber reinforced polymer (CFRP) composites are commonly used in high performance applications. Although offering several advantages (i.e., superior specific properties and improved structural rigidity), traditional CFRP composites often exhibit poor thermal stability due to a low matrix thermal decomposition temperature. The effective operating temperature of the CFRP composites can be raised by applying an outermost, protective thermal barrier coating (TBC) layer. Prefabricated high void content ceramic TBCs are ideal for composite applications due to their high thermal stability and relatively low thermal conductivity. In this paper, the thermo-mechanical response of the TBCCFRP composite laminate subjected to 500°C are assessed through …

Magnetic Resonance Imaging Of Ultrasound Fields For Visualization And Measurement Of Pressure Amplitudes, Paul-Emile Victor Passe-Carlus

Theses and Dissertations

In vivo pressure estimations for therapeutic ultrasound has the potential of rendering treatments using non-invasive ultrasound targeting safer and more reliable. By quantifying pressures and their respective spatial locations, better acoustic predictions and models can be made. In this thesis, we aim to measure a pressure field from a piezo-electric transducer through a ballistic gel medium by using an external gradient coil to encode the pressure field in a way that can be read and quantified using an MRI scanner. We describe the methods and the results pertaining to visualizing a pressure field. The setup was able to capture pressure …

Development Of Temperature Measurement And Control Of 3d Printed Microfluidic Devices Towards Biomolecular Analysis, Derek A. Sanchez

Theses and Dissertations

Microfluidics are devices with channels or reservoirs that have dimensions in the range of micrometers. They have an increasing role in biological analysis processes due to their ability to use very small sample volumes. Many microfluidic processes rely heavily on precise temperature measurement and control. Advances in 3D printing have led to high resolution digital light processing stereolithography (DLP-SLA) printers capable of using bio-compatible materials, available at BYU. This custom 3D printer has a resolution of 7.6 µm in the XY plane and 10 µm in the Z axis. Combined with a custom-made resin, we can produce microfluidic features as …

Design And Analysis Of Optimal Energy Efficient Routing Protocols For Lifetime Maximization And Qos Enhancement In Wireless Body Area Networks, Karthikeyan S

Theses and Dissertations

In recent times, Wireless Body Area Networks (WBAN) a subsection of Wireless Sensor Networks (WSN) a promising technology for the future healthcare realm with cutting-edge technologies that can assist healthcare professionals like doctors, nurses and biomedical engineers which enables one-to-one care by implementing Tele-Medicine and Tele-Health solutions. Machine Learning (ML) and Internet of Things (IoT) enabled medical big data is the future of the healthcare sector and Medical Technology-based industries leading to applications in other sectors such as fitness tracking for commercial purposes, Sportsperson health monitoring to track their day-to-day activities and wearable devices for critical and emergency care.

Recent …

Dcai: The 4th International Workshop On Data-Centric Ai, Yanjie Fu, Kunpeng Liu, Dongjie Wang

Computer Science Faculty Publications and Presentations

Machine learning traditionally emphasizes developing models for given datasets, but real-world data is often messy, making model improvement insufficient for enhancing performance. Data-Centric AI (DCAI) is an emerging field that systematically improves datasets, leading to significant practical ML advancements. While experienced data scientists have manually refined datasets through trial-and-error and intuition, DCAI approaches data enhancement as a systematic engineering discipline. DCAI represents a shift from focusing on models to the underlying data used for training and evaluation. Despite the dominance of common model architectures and predictable scaling rules, building and using datasets remain labor-intensive and costly, lacking infrastructure and best …

10.21.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Jerry Martin

NIH Grants Process Primer Training

Nature Masterclasses Writing a Review Paper Course

Assessment Of Employee Risks In Construction Of Megahousing Projects Using Structural Equation Modeling, Mohamed Nabawy

Civil Engineering

One of the most crucial objectives for nations with dense populations worldwide is the construction of mega projects. Egypt's 2030 strategy emphasizes how crucial it is to build MHP in order to accommodate the country's enormous population growth. However, there has been a nighty eight percent delay in the completion of house construction projects due to employees' inadequate training, technology use, and uncertainty management. Enhancing the administrative, technical, and management skills of staff members can prevent delays in Egypt's delivery of sustainable MHP. The aim of this study is to develop an employee management model (ESEM) in order to assess …

Critical Comparison Of Potential Machine Learning Methods For Lightning Thermal Damage Assessment Of Composite Laminates, Juhyeong Lee, Scott L.J. Millen, Xiaodong Xu

Mechanical and Aerospace Engineering Faculty Publications

The present study assesses the potential of using machine learning (ML) methods to predict the extent of lightning thermal damage in fiber-reinforced composite laminates using three supervised machine learning (SML) algorithms: (1) linear regression (LR), (2) decision tree (DT)-based, and (3) MLP models. These models were based on the 10 most significant factors that influence the severity of lightning damage, including three current waveform parameters, four material configurations, and three orthogonal electrical conductivities of each composite. All models demonstrated good performance with coefficient of determination (R²) values between 0.84 ~ 0.96. The multilayer perceptron (MLP) regression model trained …

Multi-Agent Reinforcement Learning For Smart Community Energy Management, Patrick Wilk, Ning Wang, Jie Li

Henry M. Rowan College of Engineering Departmental Research

This paper investigates a Local Strategy-Driven Multi-Agent Deep Deterministic Policy Gradient (LSD-MADDPG) method for demand-side energy management systems (EMS) in smart communities. LSD-MADDPG modifies the conventional MADDPG framework by limiting data sharing during centralized training to only discretized strategic information. During execution, it relies solely on local information, eliminating post-training data exchange. This approach addresses critical challenges commonly faced by EMS solutions serving dynamic, increasing-scale communities, such as communication delays, single-point failures, scalability, and nonstationary environments. By leveraging and sharing only strategic information among agents, LSD-MADDPG optimizes decision-making while enhancing training efficiency and safeguarding data privacy—a critical concern in the …

Tunable Blended Collagen I/Ii And Collagen I/Iii Hydrogels As Tissue Mimics, Paulina M. Babiak, Carly M. Battistoni, Leonard Cahya, Rithika Athreya, Jason Minnich Ii, Alyssa Panitch, Julie C. Liu

School of Chemical Engineering Faculty Publications

Collagen (Col) is commonly used as a natural biomaterial for biomedical applications. Although Col I is the most prevalent col type employed, many collagen types work together in vivo to confer function and biological activity. Thus, blending collagen types can better recapitulate many native environments. This work investigates how hydrogel properties can be tuned through blending collagen types (col I/II and col I/III) and by varying polymerization temperatures. Col I/II results in poorly developed fibril networks, which softened the gels, especially at lower polymerization temperatures. Conversely, col I/III hydrogels exhibit well-connected fibril networks with localized areas of fine fibrils and …

Impact Of Low-Altitude Technology On Low-Altitude Industry Development From Perspective Of Low-Altitude Economy, Yong Wang, Yusen Yang, Jimin Zeng, Zhenglong He, Zongxi Cen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Low-altitude economy, as a typical representative of new quality productive forces and a strategic emerging industry, has become an important engine for promoting high-quality economic development and achieving technological self-reliance and self-improvement in China. This study systematically reviews the development trajectory of low-altitude economy, deeply elucidates the connotations and characteristics of low-altitude technology and its impact mechanisms on low-altitude industrial development, providing theoretical support for constructing a modernized low-altitude economic system. It finds that the concept of low-altitude economy has undergone a paradigm shift from industry terminology to economic formation, gradually completing the institutionalization process from strategic planning to legal …

Development Index Assessment And Future Prospects Of China’S Low-Altitude Economy, Jiaoe Wang, Delin Du, Zhuo Chen, Wenwei Tan

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the gradual opening of low-altitude airspace and continuous advancements in low-altitude technology, the low-altitude economy has ushered in significant development opportunities, emerging as a quintessential example of new quality productive forces and garnering widespread attention from both the state and society. However, given China’s vast territory, the development trends and foundational conditions of the low-altitude economy vary considerably across regions, presenting distinct challenges and prospects. To accurately assess the development trends of the low-altitude economy, this study constructs an evaluation framework based on five dimensions, namely, innovation efficacy, industrial strength, scenario vitality, development potential, and support capability, and conducts …

Joint Subarray Acoustic Tweezers Enable Controllable Cell Translation, Rotation, And Deformation, Liang Shen, Zhenhua Tian, Kaichun Yang, Joseph Rich, Jianping Xia, Neil Upreti, Jinxin Zhang, Chuyi Chen, Nanjing Hao, Zhichao Pei, Tony Jun Huang

Faculty Publications

Contactless microscale tweezers are highly effective tools for manipulating, patterning, and assembling bioparticles. However, current tweezers are limited in their ability to comprehensively manipulate bioparticles, providing only partial control over the six fundamental motions (three translational and three rotational motions). This study presents a joint subarray acoustic tweezers platform that leverages acoustic radiation force and viscous torque to control the six fundamental motions of single bioparticles. This breakthrough is significant as our manipulation mechanism allows for controlling the three translational and three rotational motions of single cells, as well as enabling complex manipulation that combines controlled translational and rotational motions. …

Interpreting Black-Box Time Series Classifiers Using Parameterised Event Primitives, Ephrem Tibebe Mekonnen, Luca Longo, Pierpaolo Dondio

Conference papers

Amidst the remarkable performance of deep learning models in time series classification, there is a pressing demand for methods that unveil their prediction rationale. Existing feature importance techniques often neglect the temporal nature of time series data, focusing solely on segment importance. Addressing this gap, this paper introduces a local model-agnostic method akin to LIME, which generates neighbouring samples by randomly perturbing segments of the original instance. Subsequently, weights are computed for each neighbouring instance based on its distance from the original, elucidating its influence. Parameterised event primitives (PEPs) are then extracted from these perturbed samples, encompassing increasing and decreasing …

Innovative Integration Of Modern Facade Design With Traditional Bubungan Tinggi Facade: Towards A Sustainable Home, Nursyarif Agusniansyah, Gusti Novi Sarbini

ASEAN Journal on Science and Technology for Development

This study investigates the transformation of Bubungan Tinggi, a traditional Banjar house with a high roof, into a modern home through the integration of modern facade design with traditional Bubungan Tinggi facade elements. Bubungan Tinggi is a monumental artifact in South Kalimantan representing the collective memory of the Banjar community with its distinctive typology and anatomy. With its unique typology and anatomy, this particular building has evolved into an iconic structure that symbolizes the collective memory of the Banjarese people.

This study uses a qualitative approach with design experiments to explore the integration of facade design, new form, and contemporary …

Improving Mechanical Properties Of Magnesium Phosphate Cement-Based Ultra-High Performance Concrete By Ultrafine Fly Ash Incorporation, Jihui Qin, Zhichao Zhang, Hongyan Ma, Xiaobing Dai, Xing Cheng, Xingwen Jia, Jueshi Qian

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Magnesium phosphate cement-based ultra-high-performance concrete (MPC-UHPC) develops strength rapidly but shows unsatisfactory ultimate strength (<150 >MPa). In this study, ultrafine fly ash (UFA) was incorporated in MPC-UHPC to improve mechanical properties. The effect of UFA content, varying from 0 % to 15 %, by weight of binder, on microstructure, fiber pullout behavior, mechanical strengths, flexural and tensile properties of MPC-UHPC reinforced with 2 vol% steel fibers was investigated. Experimental results indicate that the incorporation of 10 %–15 % UFA with mean particle size of 1.4 µm was effective in reducing porosity and microcracks of binder matrix and fiber–matrix interface, thereby …

Influence Of Redox Engineering On The Trade-Off Relationship Between Thermopower And Electrical Conductivity In Lanthanum Titanium Based Transition Metal Oxides, Mohammad El Loubani, Gene Yang, Seyed Morteza Taghavi Kouzehkanan, Tae-Sik Oh, Santosh Kiran Balijepalli, Dongkyu Lee

Faculty Publications

Discovery of new materials plays a critical role in developing advanced high-temperature thermoelectric (TE) applications. Transition metal oxides (TMOs) are one of the attractive candidates for high-temperature TE applications due to their thermal and chemical stability. However, the trade-off relationship between thermopower (S) and electrical conductivity (σ) limits the maximum attainable power factor (PF), thereby hindering improvements in TE conversion efficiency. To overcome this trade-off relationship, the emerging approach of the redox-driven metal exsolution in TMOs shows promise in improving both S and σ. However, the effect of metal exsolution with different particle sizes and …

Water Use Efficiency In Rice Under Alternative Wetting And Drying Technique Using Energy Balance Model With Uav Information And Aquacrop In Lambayeque, Peru, Lia Ramos-Fernández, Roxana Peña-Amaro, José Huanuqueño-Murillo, David Quipse-Tito, Mayra Maldonado-Huarhuachi, Elizabeth Heros-Aguilar, Lisveth Flores Del Pino, Edwin Pino-Vargas, Javier Quille-Mamani, Alfonso Torres-Rua

Civil and Environmental Engineering Faculty Publications

In the context of global warming, rising air temperatures are increasing evapotranspiration (ET_c) in all agricultural crops, including rice, a staple food worldwide. Simultaneously, the occurrence of droughts is reducing water availability, affecting traditional irrigation methods for rice cultivation (flood irrigation). The objective of this study was to determine ET_c (water use) and yield performance in rice crop under different irrigation regimes: treatments with continuous flood irrigation (CF) and irrigations with alternating wetting and drying (AWD₅, AWD₁₀, and AWD₂₀) in an experimental area in INIA–Vista Florida. Water balance, rice physiological data, …

Waste Plastic In Concrete: Review Andstate Of The Art, Nuha S. Mashaan

Research outputs 2022 to 2026

The rapid increase of global plastic waste has been of serious concern for environmental scientists, and it has been a motivating factor for many researchers toward new innovations regarding its recycling and management. The construction industry being one of the largest consumers of natural resources and biggest waste generating industry, and hence it could be the biggest player in utilizing plastic waste into the production of concrete to attenuate this menace. This review investigates the mechanical properties of concrete incorporating different types of waste plastics and their potential application in rigid pavements. The principal objective of the paper is to …

Learning Outcomes, Benefits, And Challenges Of International Research Experiences For Students (Ires): An Exploratory Study Of An Ires Program In China, Yousef Jalali, James Barilla, Kirsten Davis, Vinod Lohani, Rolf Müller

Journal of International Engineering Education

Despite the increasing number of international programs targeting students’ learning of research and intercultural skills, there has been limited holistic investigation of students’ experiences employing both qualitative and quantitative methods. In this study, we incorporated several measures to explore students’ experiences in an International Research Experiences for Students (IRES) program, which benefited from the existing partnership between Virginia Tech in the U.S. and Shandong University in China. We examined students’ intercultural competence and interdisciplinary research skills and explored students’ stories of their lived experiences across three cohorts, each with five students, who completed the IRES program. Both open-ended survey responses …

Global Horizons: Assessing The Impact Of Study Abroad Programs On Intercultural Competence Development Pre-College Technology Students, Aparajita Jaiswal, Muna Sapkota

Journal of International Engineering Education

Across fields, college and university graduates are increasingly expected to perform effectively in diverse, multi-cultural work environments. Given this reality, Higher Education Institutions (HEIs) are actively designing strategies to help students develop intercultural skills. Prior research has revealed that deliberately structured study abroad programs are an effective approach to nurturing intercultural competence among graduates. Consciously designed study abroad programs can provide students with opportunities to learn and reflect on their experiences. In this study, we aim to understand the impact of a study abroad program on pre-freshmen students enrolled in a College of Technology. Using a mixed-methods design, we examined …

Transition Of Buoyancy-Driven Flow From An Axisymmetric To Non-Axisymmetric Vortex Inside An Evaporating Sessile Droplet, Jialing Yu, Zhenhai Pan, Justin A. Weibel

CTRC Research Publications

The internal flow within an evaporating sessile droplet has intriguing fluid mechanics important to various microfluidics applications. In the present study, a phenomenon is observed through numerical methods wherein the buoyancy-driven flow structure inside a droplet on a non-wetting substrate transitions from an axisymmetric toroidal vortex flow to a non-axisymmetric single vortex flow with increase in the substrate temperature. As the axisymmetric nature of the droplet flow field and evaporation characteristics are broken, the internal velocity accelerates significantly. The transition, which is attributed to a flow instability inside the droplet, is more prone to occur as the droplet volume or …

Investigating Retention Solutions For Women In Aviation Education And Flight Training, Jorge L.D. Albelo, Samantha Bowyer, Michael E. Wiggins

Publications

Despite advancements, women remain underrepresented in the aviation industry, particularly in pilot roles. Addressing this disparity, a university initiated the Women’s Ambassador Mentoring Program (WAMP) to enhance the recruitment and retention of female aviation students pursuing an aeronautical science degree. Concerns persist about insufficient support systems hindering progress. This study employs a transformative mixed methodology, utilizing both publicly available quantitative data and qualitative insights from program-involved students. The research assesses the growth in female aviation students compared to certified pilots, examining the university's enrollment and retention of female students over time. Emphasizing the necessity of a supportive culture, the study …

Data-Driven Sparse Sensor Placement Optimization On Wings For Flight-By-Feel: Bioinspired Approach And Application, Alex C. Hollenbeck, Atticus J. Beachy, Ramana V. Grandhi, Alexander M. Pankonien

Faculty Publications

Flight-by-feel (FBF) is an approach to flight control that uses dispersed sensors on the wings of aircraft to detect flight state. While biological FBF systems, such as the wings of insects, often contain hundreds of strain and flow sensors, artificial systems are highly constrained by size, weight, and power (SWaP) considerations, especially for small aircraft. An optimization approach is needed to determine how many sensors are required and where they should be placed on the wing. Airflow fields can be highly nonlinear, and many local minima exist for sensor placement, meaning conventional optimization techniques are unreliable for this application. The …

Undergraduate Data Literacy In Engineering: A Collaborative Approach, Amber Gruszeczka, Nicole Galloway

Libraries Faculty & Staff Presentations

Data literacy is increasingly crucial to research across disciplines, and librarians are diversifying their skills to encourage students’ self-reliance when interacting with data. Two librarians discuss a collaboration across library departments to design instruction and materials to bring the fundamentals of data literacy to a freshman engineering course.

Three-Dimensional Outdoor Object Detection In Quadrupedal Robots For Surveillance Navigations, Muhammad Hassan Tanveer, Zainab Fatima, Hira Mariam, Tanazzah Rehman, Razvan Cristian Voicu

Faculty Articles

Quadrupedal robots are confronted with the intricate challenge of navigating dynamic environments fraught with diverse and unpredictable scenarios. Effectively identifying and responding to obstacles is paramount for ensuring safe and reliable navigation. This paper introduces a pioneering method for 3D object detection, termed viewpoint feature histograms, which leverages the established paradigm of 2D detection in projection. By translating 2D bounding boxes into 3D object proposals, this approach not only enables the reuse of existing 2D detectors but also significantly increases the performance with less computation required, allowing for real-time detection. Our method is versatile, targeting both bird’s eye view objects …

Topography Of The 410 And 660 Km Discontinuities Beneath The Tibetan Plateau And Adjacent Areas, Zexin Miao, Stephen S. Gao, Muchen Sun, Kelly H. Liu

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

To investigate the three-dimensional spatial distribution of subducted oceanic slab segments and their consequential effect on the thermal and hydrous composition of the mantle transition zone (MTZ) beneath the entire Tibetan Plateau, we conducted a comprehensive analysis of approximately 655,000 P-to-s receiver functions (RFs), obtained from 735 broadband seismic stations. These RFs were utilized to delineate the 410 km (d410) and 660 km (d660) seismic discontinuities, which represent the upper and lower boundaries of the MTZ, respectively. The RFs were grouped within circular bins with a radius of 1 degree and stacked to image the discontinuities. The mean apparent depths …

A Plugin-Based Unreal Engine Adapter For Hla-Based Distributed Simulation, Mei Yang, Peng Wang

Journal of System Simulation

Abstract: With the wide application of game engine-based simulation in transportation, military and other fields, the demand for interoperability between game engine and traditional simulations is becoming increasingly strong. For the HLA-based integration of Unreal Engine and the traditional simulations, a plugin-based Unreal Engine adapter for distributed simulation is designed, which enables the rapid development of Unreal Engine federate and the efficient integration. The simulation shows the feasibility of the plugin-based Unreal Engine adapter.