Engineering Commons^™

Accurately Constituting Robust Interfaces For High-Performance High-Energy Lithium Metal Batteries, Kevin V. Carballo, Meetesh Singh, Xiangbo Meng

Mechanical Engineering Faculty Publications and Presentations

High-energy lithium metal batteries (LMBs) have received ever-increasing interest. Among them, coupling lithium metal (Li) with nickel-rich material, LiNi_xMn_yCo_zO₂ (NMCs, x ≥ 0.6, x + y + z = 1), is promising because Li anodes enable an extremely high capacity (∼3860 mA h g⁻¹) and the lowest redox potential (−3.04 V vs. standard hydrogen electrode), while NMCs can achieve a much higher capacity of ∼200 mA h g⁻¹ and lower cost than those of LiCoO₂. However, the resultant Li‖NMC cells have been hindered from commercialization due to a …

Green Solutions In Energy: Polylactic Acid (Pla) And Additive Manufacturing For Solar E-Hub Applications, Md Helal Uddin, Abreeza Manap, Boon Kar Yap, Prajindra Sankar Krishnan, Md Rokonuzzaman, Mohammad Nur-E-Alam, Tiong Sieh Kiong, Nowshad Amin

Research outputs 2022 to 2026

The emergence of additive manufacturing (AM) technologies has revolutionized design and production processes, offering new opportunities to enhance materials and optimize configurations across diverse industries, including renewable energy. This research focuses on the design and fabrication of a solar energy harvesting module (solar e-hub) using Polylactic Acid (PLA) material in AM techniques for 100-watt applications. In Malaysia, there is an increasing demand for energy adapted to small-scale and off-grid applications, particularly in rural areas where solar energy is readily available. Solar energy storage devices are crucial for these communities, as well as for campers and a reliable power source in …

Energy-Efficient Resource Allocation For Mission-Critical Applications In Underwater Acoustic Networks, Walid K. Hasan, Iftekhar Ahmad, Quoc Viet Phung, Yue Rong, Haitham Khaled, Daryoush Habibi

Research outputs 2022 to 2026

The Internet of Underwater Things (IoUT) has emerged as a vital technological domain, significantly advancing underwater exploration and communication capabilities. At the core of this paradigm is Underwater Acoustic Communication (UAC), which acts as the primary medium for data transmission in underwater environments, including environmental monitoring, security and surveillance, and underwater exploration. Despite its significance, UAC systems face inherent challenges such as limited bandwidth, high signal attenuation, and long propagation delays. These limitations become particularly significant in mission-critical maritime operations, such as warning systems, underwater navigation and control, and diver safety or emergency communications, where timely and reliable data transmission …

Exploration On Mechanical Response Mechanism Of Laser Melting Deposited Tibw/Ti–6al–4v Via In Situ Characterisation Technology, Yaya Wu, Anan Guo, Jianqiang Yuan, Lin Zhang, Yan Wen, Lin Hua, Lai Chang Zhang, Lechun Xie

Research outputs 2022 to 2026

The processing parameters of laser melting deposition (LMD) can significantly influence the microstructure and properties of LMD components. Herein, we manufactured TiBw/Ti–6Al–4V titanium matrix composite (TMC) using LMD, aiming to obtain the optimal preparation parameters. The electrical resistivity of the TMC first decreased and then increased, which was related to the microstructural evolution. TiBw network was formed in the matrix during LMD, indicating the in situ reaction of TiB2 during LMD. The reinforcement TiBw was tended to precipitate preferentially during solidification. In situ tensile experiments indicated that LMD TiBw/Ti–6Al–4V exhibited an ultimate strength of 1314 MPa and a plastic strain …

Improved Strength And Corrosion Resistance Of Ti–50zr Alloy Through Heat Treatment, Yuhua Li, Qian Zhang, Rong Zhao, Haojie Wang, Yujing Liu, Zibo Zhao, Chengliang Yang, Lai Chang Zhang

Research outputs 2022 to 2026

This work systematically analyzes the effects of heat treatment on the mechanical properties and corrosion behavior of Ti-50Zr alloy produced via vacuum arc melting. Microstructural characterization demonstrates that the microstructure of Ti–50Zr transforms from coarse lamellar α phase in as-cast condition to fine and uniformly distributes acicular α′ phase in heat-treatment state. The tensile strength, yield strength, and microhardness are significantly improved. This strengthening effect can be attributed to grain refinement and increase in dislocation density induced by heat treatment. Furthermore, the heat-treated Ti–50Zr exhibits lower corrosion current density and higher passive film resistance, suggesting a notable improvement in corrosion …

Zirconium-Based Amphoteric Metal–Organic Framework Membrane For Blue Energy Harvesting, Rockson Kwesi Tonnah, Milton Chai, Mohammad Khedri, Milad Razbin, Yasaman Boroumand, Reza Maleki, Huan Xiao, Amir Razmjou, Mohsen Asadnia

Research outputs 2022 to 2026

Salination of solutions of salinity gradient releases large-scale clean and renewable energy, which can be directly and efficiently transformed into electrical energy using ion-selective nanofluidic channel membranes. However, conventional ion-selective membranes are typically either cation- or anion-selective. A pH-switchable system capable of dual cation and anion transport along with salt gradient energy harvesting properties has not been demonstrated in ion-selective membranes. Here, we constructed an amphoteric heterolayer metal–organic framework (MOF) membrane with subnanochannels modified with carboxylic and amino functional groups. The amphoteric MOF-composite membrane, AAO/aUiO-66-(COOH)2/UiO-66-NH2, exhibits pH-tuneable ion conduction and achieves osmotic energy conversion of 7.4 and 5.7 W/m^{2 …}

Recent Progress In Underground Hydrogen Storage, Muhammad Ali, Abubakar Isah, Nurudeen Yekeen, Aliakbar Hassanpouryouzband, Mohammad Sarmadivaleh, Esuru Rita Okoroafor, Mohammed Al Kobaisi, Mohamed Mahmoud, Volker Vahrenkamp, Hussein Hoteit

Research outputs 2022 to 2026

With the global population anticipated to reach 9.9 billion by 2050 and rapid industrialization and economic growth, global energy demand is projected to increase by nearly 50%. Fossil fuels meet 80% of this demand, resulting in considerable greenhouse gas emissions and environmental challenges. Hydrogen (H2) offers a promising alternative due to its potential for clean combustion and integration into renewable energy systems. Underground H2 storage (UHS) enables long-term, large-scale storage to achieve equilibrium between seasonal supply and demand. This review synthesizes recent advancements in UHS, highlighting progress and persistent challenges. The review explores the complex mechanisms of H2 trapping and …

Investigating The Potential Of Remote Ultraviolet Sensing For Real-Time Produced Water Monitoring: A Lab-Scale Study, M. Weir, T. Robertson, D. I. Maroef, M. L. Johns, M. Zargar

Research outputs 2022 to 2026

Traditional produced water discharge monitoring techniques involve ‘end of pipe’ sample collection and analysis, offering a snapshot of discharged fluid composition and predicting the marine environmental risk through dispersion models. This study presents a proof-of-concept analysis of using ultraviolet remote sensing for real-time produced water monitoring, enabling data capture directly within the marine environment. Ultraviolet imaging was used to quantify the sheen intensity of artificially prepared produced water standards and to evaluate the relationship between image signal intensity and total petroleum hydrocarbon concentration over time. A statistically significant relationship was observed between signal intensity and total petroleum hydrocarbon concentrations, with …

A Comparative Study Of Aluminium Properties Manufactured Using Additive Friction Stir Deposition (Afsd) And Wire Arc Additive Manufacturing (Waam), Numan Habib, Ana Vafadar, Ferdinando Guzzomi

Research outputs 2022 to 2026

Wire arc additive manufacturing (WAAM) has recently gained considerable attention due to its capability to manufacture large-size metal with a length of one meter or above, with good microstructural and mechanical properties. However, the manufacture of critical components exposed to extreme environmental conditions, such as high stresses, remains the focus of most research studies. The applications of WAAM in high-tech industries, such as aerospace and marine modes, remain limited due to metallurgical challenges such as oxidation, porosity, cracking, and deformation, especially for high-strength aluminium alloys, including 6XXX and 7XXX series. The aforementioned metallurgical challenges in WAAM are minimized to some …

Methylene Blue Adsorption On Y-Zeolite As A Nano-Porous Adsorbent: Equilibrium And Kinetic Studies, Mehdi Narimani, Maryam Gonbadi, Mohammad Mahdi Zerafat

Research outputs 2022 to 2026

The elimination of dye pollutants from industrial wastewaters, notably from sectors such as textiles and dyeing, remains a pivotal aspect of pollution mitigation endeavours. This research introduces an innovative strategy employing Y zeolite as a nano-porous adsorbent for eliminating methylene blue (MB), a prevalent cationic dye. Y zeolite was synthesised via hydrothermal technique. Through methodical experimentation, the impact of temperature, contact time, concentration, pH and adsorbent quantity on removal efficiency were examined with optimal conditions achieving 93.83% MB removal. The synthesised Y zeolite underwent characterisation utilising diverse techniques, including SEM, TEM, XRD, BET, and FTIR, which elucidated the structural and …

Revealing Rainfall Partitioning Characteristics Of Shrubs In Semi-Arid Sandy Land: Based On In-Situ Measurement Data, Hu Liu, Limin Duan, Yongzhi Bao, Xin Tong, Huimin Lei, Zhiming Han, Wenrui Zhang, Xixi Wang, V. P. Singh, Tingxi Liu

Civil & Environmental Engineering Faculty Publications

Rainfall is partitioned by the vegetation canopy into three components: throughfall, stemflow, and canopy interception, which profoundly influence key hydrological processes, including vegetation growth, groundwater recharge, water cycling, and regional water balance. However, research comparing the applicability of throughfall measurement methods in semi-arid shrub communities remains scarce, and quantitative analyses of rainfall partitioning processes based on in-situ observations are still inadequate. This study focuses on the sand-fixing pioneer vegetation of semi-arid sandy land, Caragana microphylla, and conducts simultaneous throughfall measurements using the rain gauge method and the trough method to compare the differences between the two approaches. Based on …

Nebraska Test #2302: Claas Xerion 12.650 Terra Trac, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Test# 2299: Claas Xerion 12.590, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Test #2296: John Deere 9rx 710, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Test #2268: Case Ih Steiger 595, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Test #2269: Case Ih Steiger 645, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Summary #1294: Fendt 620 Vario, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Summary #1292: Fendt 616 Vario, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Nebraska Summary #1298: Fendt 726 Vario Gen 7.1, Nebraska Tractor Test Lab

Nebraska Tractor Tests

ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …

Build Digital Annual Survey 2024 Results, Clare Eriksson, Robert Moore, Bilal Succar

Reports

The Build Digital Annual Survey 2024 presents a sector-wide snapshot of digital adoption and transformation across Ireland’s construction and built environment sector. Based on 137 responses, the report shows that most participating organisations have begun their digital transformation journey, with expected benefits including improved accuracy, operational efficiency, quality, cost reduction, and faster clash resolution. The findings indicate widespread use of common digital deliverables and increasing awareness of ISO 19650, CDEs, OpenBIM, and CWMF BIM requirements. However, the report also identifies persistent challenges, including skills gaps, uneven training provision, limited digital competence, and variable implementation of BIM requirements across public and …

Multitec: A Data-Driven Multimodal Short Video Detection Framework For Healthcare Misinformation On Tiktok, Lanyu Shang, Yang Zhang, Yawen Deng, Dong Wang

Computer Science Faculty Works

With the prevalence of social media and short video sharing platforms (e.g., TikTok, YouTube Shorts), the proliferation of healthcare misinformation has become a widespread and concerning issue that threatens public health and undermines trust in mass media. This paper focuses on an important problem of detecting multimodal healthcare misinformation in short videos on TikTok. Our objective is to accurately identify misleading healthcare information that is jointly conveyed by the visual, audio, and textual content within the TikTok short videos. Three critical challenges exist in solving our problem: i) how to effectively extract information from distractive and manipulated visual content in …

Deep Learning-Assisted Diagnostic System: Apices And Odontogenic Sinus Floor Level Analysis In Dental Panoramic Radiographs, Pei Yi Wu, Yuan-Jin Lin, Yu-Jen Chang, Sung-Tsun Wei, Chiung An Chen, Kuo-Chen Li, Wei-Chen Tu, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

Odontogenic sinusitis is a type of sinusitis caused by apical lesions of teeth near the maxillary sinus floor. Its clinical symptoms are highly like other types of sinusitis, often leading to misdiagnosis as general sinusitis by dentists in the early stages. This misdiagnosis delays treatment and may be accompanied by toothache. Therefore, using artificial intelligence to assist dentists in accurately diagnosing odontogenic sinusitis is crucial. This study introduces an innovative odontogenic sinusitis image processing technique, which is fused with common contrast limited adaptive histogram equalization, Min-Max normalization, and the RGB mapping method. Moreover, this study combined various deep learning models …

Precision Medicine Assessment Of The Radiographic Defect Angle Of The Intrabony Defect In Periodontal Lesions By Deep Learning Of Bitewing Radiographs, Patricia Angela R. Abu, Yi Cheng Mao, Yuan Jin Lin, Chien Kai Chao, Yi He Lin, Bo Siang Wang, Chiung An Chen, Shih Lun Chen, Tsung Yi Chen, Kuo Chen Li

Department of Information Systems & Computer Science Faculty Publications

In dental diagnosis, evaluating the severity of periodontal disease by analyzing the radiographic defect angle of the intrabony defect is essential for effective treatment planning. However, dentists often rely on clinical examinations and manual analysis, which can be time-consuming and labor-intensive. Due to the high recurrence rate of periodontal disease after treatment, accurately evaluating the radiographic defect angle of the intrabony defect is vital for implementing targeted interventions, which can improve treatment outcomes and reduce recurrence. This study aims to streamline clinical practices and enhance patient care in managing periodontal disease by determining its severity based on the analysis of …

A Novel Real-Time Threshold Algorithm For Closed-Loop Epilepsy Detection And Stimulation System, Liang Hung Wang, Zhen Nan Zhang, Chao Xin Xie, Hao Jiang, Tao Yang, Qi Peng Ran, Ming Hui Fan, I. Chun Kuo, Zne Jung Lee, Jian Bo Chen, Tsung Yi Chen, Shih Lun Chen, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

Epilepsy, as a common brain disease, causes great pain and stress to patients around the world. At present, the main treatment methods are drug, surgical, and electrical stimulation therapies. Electrical stimulation has recently emerged as an alternative treatment for reducing symptomatic seizures. This study proposes a novel closed-loop epilepsy detection system and stimulation control chip. A time-domain detection algorithm based on amplitude, slope, line length, and signal energy characteristics is introduced. A new threshold calculation method is proposed; that is, the threshold is updated by means of the mean and standard deviation of four consecutive eigenvalues through parameter combination. Once …

Improving The Accuracy Of Neighborhood Median Pixel Method (Nmpm) In Classifying Landsat-8 Oli Images By Optimizing The Scoring System’S Point Values, Abraham T. Magpantay, Proceso L. Fernandez Jr

Department of Information Systems & Computer Science Faculty Publications

The Neighborhood Median Pixel Method has previously been introduced as an image processing technique in remote sensing, developed to classify Landsat-8 OLI satellite image pixels into categories of vegetation, water, and built-up areas. This method relies on a lookup table based on the median pixel values within a pixel’s neighborhood and a scoring system that assigns point values for classification. While a 9x9 neighborhood size was originally proposed, a succeeding study suggested a 13x13 neighborhood for better classification accuracy. This study focuses on refining the scoring system used in the Neighborhood Median Pixel Method, particularly the original set of arbitrary …

Sampling Balanced High-Quality Data To Train An Automatic Mesh Generator, Jie Pan, Jingwei Huang, Gengdong Cheng, Yong Zeng

Engineering Management & Systems Engineering Faculty Publications

In real-world scenarios, high-quality data are often scarce and imbalanced, yet it is essential for the optimal performance of data-driven algorithmic models. Data synthesis methods are commonly used to address this issue; however, they typically rely heavily on the original dataset, which limits their ability to significantly improve performance. This article presents a quality function-based method for directly generating high-quality data and applies it to a mesh generation algorithm to demonstrate its efficiency and effectiveness. The proposed approach samples input-output pairs of the algorithm based on their feature spaces, selects high-quality samples using a defined quality function that evaluates the …

A Governance-Centric Framework For Strengthening Healthcare Cybersecurity: A Systems Perspective, Sujatha Alla, Sai Gireesh Komaragiri, Teresa Duvall, Satluk Karahan, Nagesh Bheesetty, Vijay Kumar Chattu

Engineering Management & Systems Engineering Faculty Publications

Healthcare systems face unprecedented security and privacy challenges due to increasing digitization and interconnectedness. This paper provides a comprehensive analysis of these challenges by examining various cyberattacks, defensive mechanisms, and governance frameworks within modern healthcare infrastructure. The research systematically categorizes prevalent security threats, such as ransomware, insider threats, and data breaches, identifying vulnerabilities specific to healthcare systems. Furthermore, the study evaluates current defensive strategies, including encryption techniques, access control systems, and intrusion detection tools, assessing their effectiveness against complex cyber threats. A key focus is placed on governance structures and their role in cybersecurity resilience. The research explores how regulatory …

Llm-Driven Fmea For Safe Human-Robot Collaboration In Disassembly, Morteza Jalali Alenjareghi, Samira Keivanpour, Yuvin Adnarain Chinniah, Sabrina Jocelyn

Articles dans des actes de congrès

Disassembly operations often present unstructured and unpredictable scenarios, such as handling hazardous materials, addressing ergonomic strain, and managing dynamic robot interactions that pose safety risks. To tackle these challenges, we propose an innovative use of large language models (LLMs) to enhance failure mode and effect analysis (FMEA) in the context of human-robot collaboration (HRC) for disassembly tasks. We developed an LLM system leveraging retrieval-augmented generation (RAG) for real-time risk analysis and recommendation generation. RAG retrieves domain-specific information from the FMEA knowledge database, enabling accurate risk analysis, contextual understanding, and relevant recommendations based on user input and operational data. Evaluation of …

The Towering Inferno: Art, Policy, And Legacy, Charles R. Jennings

Publications and Research

The Christian Regenhard Center for Emergency Response Studies, leveraging the expertise of its faculty, staff, Advisory Board and colleagues, has consistently programmed activities focused on high-rise fire safety. The upcoming 50^th anniversary of the film The Towering Inferno was an inspiration.

We decided this would be more lighthearted and less purely technical than many of our events. We wanted to consider both the film, and use it to reflect on the state of fire safety in tall buildings in New York City.

Of course it does not escape us that the topic of fire safety is a serious one, …

Pla Polymer Binder In Core Production - Influence On Final Casting Dimensions, Artur Soroczyński, Krzysztof Rechowicz

Virginia Digital Maritime Center (VDMC) Faculty Publications

The foundry industry is seeking an ecological alternative to synthetic molding resins. This study evaluates the technological properties of core sands bonded with biodegradable polylactide (PLA). Cores prepared on a 2% quartz sand matrix were subjected to casting processes using two alloys with extremely different pouring temperatures: gray cast iron (approx. 1200 °C) and AK11 silumin (approx. 710 °C). The research methodology included macroscopic assessment, dimensional analysis using 3D scanning (GOM Inspect), and qualitative knock-out assessment supported by numerical temperature field simulation. The results showed that the high crystallization temperature of cast iron leads to complete thermal degradation of the …