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Articles 5521 - 5550 of 196842

Full-Text Articles in Entire DC Network

Harnessing Mono-2-(Methacryloyloxy) Ethyl Succinate Grafting For Robust Micro/Nanoplastic-Resistant Ultrafiltration Membranes, Mohadeseh Najafi, Javad Farahbakhsh, Mitra Golgoli, Michael Johns, Masoumeh Zargar Jan 2026

Harnessing Mono-2-(Methacryloyloxy) Ethyl Succinate Grafting For Robust Micro/Nanoplastic-Resistant Ultrafiltration Membranes, Mohadeseh Najafi, Javad Farahbakhsh, Mitra Golgoli, Michael Johns, Masoumeh Zargar

Research outputs 2022 to 2026

The growing presence of microplastics (MPs) and nanoplastics (NPs) in water systems poses a serious threat to conventional treatment processes, particularly membrane filtration. This study focuses on a surface modification strategy for commercial ultrafiltration (UF) membranes via plasma-induced grafting of mono-2-(methacryloyloxy) ethyl succinate (MMES) to enhance resistance against MP/NPs fouling. The membranes were characterised using advanced analytical techniques, including high-resolution scanning electron microscopy (HRSEM), X-ray photoelectron spectroscopy (XPS), and atomic force microscopy (AFM), confirming successful grafting, increased hydrophilicity, and a more negative surface charge. At optimal conditions of grafting (2 min pretreatment, 0.5 M monomer concentration, and 3 h grafting …

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Photocatalytic Degradation Of Cephalexin, Amoxicillin, And Phenol Red Using A Green-Synthesized Folic Acid–Zno–Bi2o3 Nanoporous System, M. Sarani, Haghighi, P. Tamaddon, A. Najafidoust, P. Faghani-Eskandarkolaei, N. Sattarahmady Jan 2026

Photocatalytic Degradation Of Cephalexin, Amoxicillin, And Phenol Red Using A Green-Synthesized Folic Acid–Zno–Bi2o3 Nanoporous System, M. Sarani, Haghighi, P. Tamaddon, A. Najafidoust, P. Faghani-Eskandarkolaei, N. Sattarahmady

Research outputs 2022 to 2026

The persistent presence of pharmaceutical pollutants like amoxicillin (AMX) and cephalexin (CPX), and industrial dyes such as phenol red (PR) in wastewater poses serious ecological and public health risks, including antibiotic resistance. It necessitates efficient and low-cost remediation technologies. Photocatalysts employing innovative and engineered nanomaterials such as bismuth oxide (Bi2O3) and zinc oxide (ZnO) nanostructures exhibit considerable potential for eliminating pollutants. This study focused on the photodegradation of AMX, CPX, and PR utilizing green-synthesized folic acid–ZnO–Bi2O3 nanoparticles (F-Zn-Bi NPs) under visible light irradiation. Characterization of the synthesized photocatalyst was conducted using various techniques of powder x-ray diffraction (PXRD), field emission …

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Drone Endurance In Hydrogen Fuel Cell Hybrid Technologies: Power Architectures And Design Strategies, Yaw Chong Tak, Tarek Abedin, Johnny Koh Siaw Paw, Jagadeesh Pasupuleti, Tan Jian Ding, Tiong Sieh Kiong, K. Kadirgama, F. Benedict, Mohammad Nur-E-Alam Jan 2026

Drone Endurance In Hydrogen Fuel Cell Hybrid Technologies: Power Architectures And Design Strategies, Yaw Chong Tak, Tarek Abedin, Johnny Koh Siaw Paw, Jagadeesh Pasupuleti, Tan Jian Ding, Tiong Sieh Kiong, K. Kadirgama, F. Benedict, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

This study delivers an exhaustive exploration of novel and hybrid power systems for Unmanned Aerial Vehicles (UAVs) aimed at improving endurance, efficiency, and mission performance. In the wake of increasing requirements for long-endurance and high-performance UAVs, traditional battery systems are limited by their energy density and lifetime. To overcome this, the research compares four primary power sources: hydrogen fuel cells, lithium-based batteries, photovoltaic cells, and supercapacitors, with a focus on their hybrid architecture integration. The originality of this research is in the relative comparison of these power sources in multi-mode UAV operations, with an emphasis on their performance, energy management …

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Performance Investigation Of Microchannel Heat Sink With Biomimetic Trefoil Cavities On Different Walls, Sadiq Ali, Numan Habib, Faraz Ahmad, Aamer Sharif, Ana Vafadar Jan 2026

Performance Investigation Of Microchannel Heat Sink With Biomimetic Trefoil Cavities On Different Walls, Sadiq Ali, Numan Habib, Faraz Ahmad, Aamer Sharif, Ana Vafadar

Research outputs 2022 to 2026

The modern world is shifting towards digitalization and miniaturization, leading to higher flux densities in electronic components and machines. However, conventional cooling methods, such as air-cooled smooth channels, are proving inadequate for removing the huge amounts of heat generated, thereby compromising the reliability and operational lifespan of electronic systems. This necessitates urgently exploring and analyzing modern techniques like microchannel cooling to improve its efficiency. This work uses ANSYS to conduct numerical simulations and investigates the heat transfer and flow behavior in a microchannel heat sink. The smooth channel is used to investigate and validate the flow behavior with the available …

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Tribological Properties Of Woven Carbon Fiber/Peek Composites From Ambient To 200 °C: Ultra-Low Wear And Performance Evolution, Zheng Bo Xu, Shu Qing Kou, Feng Qiu, Liang Yu Chen, Hong Yu Yang, Jun Nan Dai, Shi Li Shu, Ruifen Guo, Qi Chuan Jiang, Lai Chang Zhang Jan 2026

Tribological Properties Of Woven Carbon Fiber/Peek Composites From Ambient To 200 °C: Ultra-Low Wear And Performance Evolution, Zheng Bo Xu, Shu Qing Kou, Feng Qiu, Liang Yu Chen, Hong Yu Yang, Jun Nan Dai, Shi Li Shu, Ruifen Guo, Qi Chuan Jiang, Lai Chang Zhang

Research outputs 2022 to 2026

The limited mechanical and tribological stability of carbon fiber reinforced PEEK matrix composites at elevated temperatures remains a major obstacle to their widespread application in extreme service environments. In this work, stain-woven carbon fiber (60 wt%) reinforced PEEK composite (CP60) was fabricated via compression molding, and its temperature-dependent mechanical and wear performance was systematically evaluated. Friction and wear behavior were systematically investigated using pin-on-disc tests under dry sliding conditions. Experiments were conducted at two distinct temperatures (room temperature (RT) and 200 °C) with diverse loads (200–400 N) and sliding velocities (0.47 and 0.94 m/s). The composite exhibited lower average friction …

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Covert Performance Of Star-Ris Aided Thz Communication System With Rsma And Phase Errors, Xiangbin Yu, Yue Zhou, Shihao Yan, Yun Rui, Xiaoyu Dang, Chau Yuen, Mohsen Guizani Jan 2026

Covert Performance Of Star-Ris Aided Thz Communication System With Rsma And Phase Errors, Xiangbin Yu, Yue Zhou, Shihao Yan, Yun Rui, Xiaoyu Dang, Chau Yuen, Mohsen Guizani

Research outputs 2022 to 2026

In this paper, the covert performance of the simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided Terahertz (THz) communication systems with rate-splitting multiple access (RSMA) over the generalized α-μ fading channel is studied, where the discrete phase error and noise power uncertainty are considered. By means of the Gaussian approximation and Gamma distribution, the closed-form outage probability (OP) of the legitimate users is firstly derived. Then, the covert performance of the system is analyzed, and average detection error probability (ADEP) is deduced for the warden, and resultant closed-form ADEP is obtained. By minimizing the ADEP, the optimal detection threshold …

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Covert Transmission For Active Ris-Aided Full-Duplex Uav Integrated Sensing, Communication, And Computation Systems, Qi Zhang, Wei Gao, Chuan Liu, Yu Yao, Shihao Yan, Feng Shu, Shi Jin Jan 2026

Covert Transmission For Active Ris-Aided Full-Duplex Uav Integrated Sensing, Communication, And Computation Systems, Qi Zhang, Wei Gao, Chuan Liu, Yu Yao, Shihao Yan, Feng Shu, Shi Jin

Research outputs 2022 to 2026

Next-generation wireless network should accomplish integrated sensing, communication, and computation (ISCC) capabilities. This paper proposes a novel covert transmission scheme based on active reconfigurable intelligent surface (RIS)-enabled full-duplex (FD) unmanned aerial vehicle (UAV)-ISCC framework, where the multi-functional UAV realizes simultaneous target sensing and uplink (UL) covert communication, as well as performing edge computing (EC) for users. To maximize the minimum covert transmission rate (CTR) among all UL users, UAV transmit beamforming and trajectory, RIS weights, power allocation and signal processing in a FD UL transmission system are jointly devised. To tackle the intractable non-convex problem, we leverage second order cone …

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Design Of Artificial Interference Signal Waveforms For Covert Communication Aided By Multiple Friendly Nodes, Xuyang Zhao, Wei Guo, Yongchao Wang, Shihao Yan Jan 2026

Design Of Artificial Interference Signal Waveforms For Covert Communication Aided By Multiple Friendly Nodes, Xuyang Zhao, Wei Guo, Yongchao Wang, Shihao Yan

Research outputs 2022 to 2026

In this work, we consider a covert communication scenario with multiple friendly interference nodes. The goal is to hide a legitimate communication link from a transmitter to a receiver under a warden’s surveillance. Firstly, we propose a novel strategy for generating artificial noise (AN) signals and formulate a corresponding design problem, aiming to minimize the adverse effects of AN on the legitimate receiver while enhancing communication covertness. Specifically, we optimize the basis matrix for AN signal space using statistical information of the involved channel coefficients, when precise channel state information are unavailable. Secondly, we analyze the geometric structure of the …

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Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer Jan 2026

Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer

Research outputs 2022 to 2026

Underwater Acoustic Networks (UANs) are critical for enabling long-range underwater communication, supporting a wide range of applications, such as environmental monitoring, resource exploration, disaster prevention and marine security. Unfortunately, UANs operate within a limited acoustic spectrum, where these spectrums often overlap with those used by marine animals for communication, navigation and foraging. Additionally, anthropogenic noise from industrial activities contributes to acoustic pollution, intensifying this problem. This frequency overlap poses significant risks to marine life. Therefore, this review highlights the urgent need to develop environmentally aware UANs that minimize harmful acoustic interference with marine mammals, fish and invertebrates. Further, it focuses …

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Sensing-Then-Beamforming: Robust Transmission Design For Ris-Empowered Integrated Sensing And Covert Communication, Xingyu Zhao, Min Li, Ming Min Zhao, Shihao Yan, Min Jian Zhao Jan 2026

Sensing-Then-Beamforming: Robust Transmission Design For Ris-Empowered Integrated Sensing And Covert Communication, Xingyu Zhao, Min Li, Ming Min Zhao, Shihao Yan, Min Jian Zhao

Research outputs 2022 to 2026

Traditional covert communication often relies on the knowledge of the warden's channel state information, which is inherently challenging to obtain due to the non-cooperative nature and potential mobility of the warden. The integration of sensing and communication technology provides a promising solution by enabling the legitimate transmitter to sense and track the warden, thereby enhancing transmission covertness. In this paper, we develop a framework for sensing-then-beamforming in reconfigurable intelligent surface (RIS)-empowered integrated sensing and covert communication (ISACC) systems, where the transmitter (Alice) estimates and tracks the mobile aerial warden's channel using sensing echo signals while simultaneously sending covert information to …

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A Novel Deep Transfer Learning-Based Adaptive Cascade Pi Controller Enhanced By Reinforcement Learning Algorithm And Snake Optimization For Robust Speed Regulation Of Brushless Dc Motors, Seyyed Morteza Ghamari, Asma Aziz Jan 2026

A Novel Deep Transfer Learning-Based Adaptive Cascade Pi Controller Enhanced By Reinforcement Learning Algorithm And Snake Optimization For Robust Speed Regulation Of Brushless Dc Motors, Seyyed Morteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

Brushless DC (BLDC) are common in electric cars, industrial automation, and robotics because of their high efficiency, high torque control, and compact size. Nevertheless, strong speed and current regulation is not easily attained because of system variation, load variations and the shortcomings of traditional fixed-gain proportional-integral (PI) controllers. In this paper, a new snake optimization-assisted deep transfer learning-based reinforcement learning (SOA-DTL-RL)-based adaptive cascade PI controller is proposed that combines transfer learning with fast adaptation, Reinforcement learning with real-time optimization, and snake optimization with optimal initial gain selection to guarantee the robust speed and current regulation in BLDC motors. The proposed …

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Ai-Enhanced Smart Sensors For Heavy Metal Detection In Water Treatment, Fatemeh Noorisafa, Amir Razmjou, Asghar Taheri-Kafrani, Fatemeh Ejeian, Mohsen Asadnia, Hamidreza Akbari Ghavamabadi Jan 2026

Ai-Enhanced Smart Sensors For Heavy Metal Detection In Water Treatment, Fatemeh Noorisafa, Amir Razmjou, Asghar Taheri-Kafrani, Fatemeh Ejeian, Mohsen Asadnia, Hamidreza Akbari Ghavamabadi

Research outputs 2022 to 2026

Artificial intelligence (AI) enhances biosensor design by efficiently processing and modeling environmental data. This study employs machine learning algorithms to optimize biosensor parameters for the detection of trace-level heavy metals in aquatic environments, utilizing enzymes, DNAzymes, and aptamers as recognition elements. Machine learning models, including decision trees, random forests, gradient boosting, ensemble neural networks, and GLMM,were trained on extensive laboratory datasets. Among these, the random forest model exhibited the highest predictive accuracy, achieving 71 % for the limit of detection (LOD), 75 % for the minimum concentration of linearity, and 62 % for the maximum concentration of linearity. The AI-driven …

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C2p-M: Critical Connection Protection In Multiplex Graphs, Conggai Li, Wei Ni, Ming Ding, Youyang Qu, Jianjun Chen, Wenjie Zhang, Thierry Rakotoarivelo Jan 2026

C2p-M: Critical Connection Protection In Multiplex Graphs, Conggai Li, Wei Ni, Ming Ding, Youyang Qu, Jianjun Chen, Wenjie Zhang, Thierry Rakotoarivelo

Research outputs 2022 to 2026

Multiplex graphs represent diverse real-world interactions among entities, where multiple relationship types coexist within the same set of entities. These graphs introduce privacy risks, as data collectors can exploit cross-layer dependencies to infer hidden and sensitive connections. In this work, we propose a C2P-M framework that identifies and protects critical connections while preserving the structural information in multiplex graphs. Unlike conventional methods for single-layer graphs that perturb all edges uniformly, C2P-M selectively protects critical connections, maintaining the analytical usability of the graph. To achieve this, we introduce the multiplex p-cohesion model, which incorporates new score functions that account for both …

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Effects Of Electroshock Treatment On Microstructure Evolution And Mechanical Properties Of Ti-8al-1mo-1v Alloy, Jian Zhou, Yu Peng Yao, Hong Xin Sun, Chang Liu, Yan Wen, Li Qiang Wang, Lai Chang Zhang, Le Chun Xie, Lin Hua Jan 2026

Effects Of Electroshock Treatment On Microstructure Evolution And Mechanical Properties Of Ti-8al-1mo-1v Alloy, Jian Zhou, Yu Peng Yao, Hong Xin Sun, Chang Liu, Yan Wen, Li Qiang Wang, Lai Chang Zhang, Le Chun Xie, Lin Hua

Research outputs 2022 to 2026

The effect mechanism of electroshock treatment (EST) on microstructure evolution and mechanical property variations of Ti-8Al-1Mo-1V alloy was investigated. The results show that EST results in the phase transformation from the acicular secondary αs to β phase. While the EST time is 0.12 s, the acicular martensitic phase (αM) precipitates. The results of electron backscattered diffraction (EBSD) reveals that the average grain size decreases from 3.95 to 2.53 μm after EST, indicating that the grains are refined, and the significant recrystallization behavior and martensitic transformation occur. The orientation distribution reveals a more uniform distribution of texture, which is caused by …

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Experimental Investigation And Performance Optimization Of A Double Slope Solar Still Integrated With Nanoparticles In Phase Change Materials, Pronob Das, Md Shahriar Mohtasim, Utpol K. Paul, Md Sanowar Hossain, Barun K. Das, Anik Saha, Md Golam Kibria Jan 2026

Experimental Investigation And Performance Optimization Of A Double Slope Solar Still Integrated With Nanoparticles In Phase Change Materials, Pronob Das, Md Shahriar Mohtasim, Utpol K. Paul, Md Sanowar Hossain, Barun K. Das, Anik Saha, Md Golam Kibria

Research outputs 2022 to 2026

By utilizing solar energy for desalination, solar stills offer a sustainable and cost-effective means of providing fresh drinking water in remote and arid regions. Existing studies have primarily focused on improving freshwater productivity while considering economic and environmental feasibility. The present work offers an in-depth assessment of solar still (SS) systems by analyzing energy and exergy performance, exergoeconomic factors (energy-economic factor, exergoeconomic factor, and cost of water), environmental impacts (CO2 emissions, exergo-environmental factor, and carbon credit gained), and sustainability indicators (energy payback time and sustainability index). Five different cases were examined: (I) a conventional solar still (CSS), (II) CSS with …

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Super-Resolution Learning Inspired Spectral-Spatial Correlation Network For Hyperspectral Target Detection, Jiaping Zhong, Yunsong Li, Jianxin Li, Yanzi Shi, Weiying Xie, Paolo Gamba Jan 2026

Super-Resolution Learning Inspired Spectral-Spatial Correlation Network For Hyperspectral Target Detection, Jiaping Zhong, Yunsong Li, Jianxin Li, Yanzi Shi, Weiying Xie, Paolo Gamba

Research outputs 2022 to 2026

Hyperspectral target detection (HTD) aims at extracting targets from complex backgrounds while overcoming noise interference. Existing deep learning models for HTD usually suffer from low spatial resolution and unitary representation, especially in space-borne platforms. Super-resolution, as a critical technology to enhance the spatial details, could effectively address the aforementioned issue. To make super-resolution absolutely pose positive effects on target detection, this paper proposes an end-to-end novel super-resolution learning inspired spectral-spatial correlation network for hyperspectral target detection (SR-HTD) from the perspective of spatial and spectral regularization to achieve high-precision detection. Specifically, we designed a Spatial Correlation Aggregation (SCA) module inspired by …

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Additive Manufacturing And Heat Treatment Of Zero Poisson’S Ratio Self-Expanding Nitinol Stents, Farhana Yasmin, Vafadar, Majid Tolouei-Rad Jan 2026

Additive Manufacturing And Heat Treatment Of Zero Poisson’S Ratio Self-Expanding Nitinol Stents, Farhana Yasmin, Vafadar, Majid Tolouei-Rad

Research outputs 2022 to 2026

Additive manufacturing (AM) has recently gained attention as an effective approach for printing patient-specific, self-expanding Nitinol (NiTi alloy) stents with complex structural designs for the treatment of peripheral arterial disease (PAD). However, achieving the desired phase transformation temperature and superelastic performance remains challenging due to compositional variations, phase imbalance and microstructural inhomogeneities introduced during the printing process. In this study, self-expanding Nitinol stents with a zero Poisson’s ratio (ZPR) structural design were fabricated via laser powder bed fusion (PBF-LB). The printed stents showed no evidence of cracks or structural defects, confirming PBF-LB’s capability to produce mechanically sound stent geometries. However, …

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Numerically Evaluating The Effect Of Extrusion Angle On Material Flow And Thermal Behaviour During Additive Friction Extrusion Deposition (Afed), Numan Habib, Ferdinando Guzzomi, Ana Vafadar Jan 2026

Numerically Evaluating The Effect Of Extrusion Angle On Material Flow And Thermal Behaviour During Additive Friction Extrusion Deposition (Afed), Numan Habib, Ferdinando Guzzomi, Ana Vafadar

Research outputs 2022 to 2026

Additive Friction Extrusion Deposition (AFED), also known as “SoftTouch”, is an emerging friction-based Additive Manufacturing (AM) technology allowing material to soften before the deposition, increasing the printing speed and reducing cost [1]. However, high power is required during the process, as excessive force is needed to extrude enough material through the printing head. This study investigates how extrusion angle and tool rotational speed affect thermal distribution and material flow in AFED to minimise power consumption. A three-dimensional computational fluid dynamics (CFD) model is proposed, and ANSYS ® Workbench CFD code (Fluent) is used to discretise the CFD model. A User-Defined …

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Fracture Energy Of Ambient-Cured Fly Ash-Based Geopolymer Concrete, Alireza Mohyeddin, Trijon Karmokar, Mohammad Fardipour Jan 2026

Fracture Energy Of Ambient-Cured Fly Ash-Based Geopolymer Concrete, Alireza Mohyeddin, Trijon Karmokar, Mohammad Fardipour

Research outputs 2022 to 2026

Fracture energy is a key parameter in current prediction models for capacity of structural anchors. During broader research on behaviour of structural anchors in ambient-cured fly ash-based geopolymer concrete, it was realised that despite extensive literature on Ordinary Portland Cement (OPC) and other types of geopolymer concrete, there is a lack of literature on fracture energy of such geopolymer concretes. The purpose of the current research is to measure this property for this specific type of concrete using Wedge Splitting Test (WST) method. This method was selected due to its stable crack propagation and suitability for small-sized specimens. The influence …

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Sustainable Textiles Through Electrospinning: Addressing Environmental Challenges, Nicole Sharples, Omid Doustdar, Miguel Carmona‐Cabello, Shayan Abrishami, Jose M. Herreros, Ali Sadaghiani, Karl D. Dearn Jan 2026

Sustainable Textiles Through Electrospinning: Addressing Environmental Challenges, Nicole Sharples, Omid Doustdar, Miguel Carmona‐Cabello, Shayan Abrishami, Jose M. Herreros, Ali Sadaghiani, Karl D. Dearn

Research outputs 2022 to 2026

The textile industry, known for its significant environmental footprint, faces growing pressure to adopt sustainable practices. This review identifies the textile industry’s sustainability challenges and examines electrospinning as a promising technology to mitigate its environmental impact. Electrospinning enables the production of nanofibers with enhanced properties suitable for various textile applications, offering potential solutions to reduce resource consumption and waste generation. This review discusses the current uses of electrospinning in textile manufacturing and analyses emerging trends in textile recycling, emphasising the role of electrospinning in transforming waste textiles into value-added products. Prospects for advancing electrospinning techniques to achieve efficient textile recycling …

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A Review On Underwater Beamforming: Techniques, Challenges, And Future Directions, Ruba Zaheer, Quoc Viet Phung, Iftekhar Ahmad, Asma Aziz, Daryoush Habibi, Yue Rong, Walid K. Hasan Jan 2026

A Review On Underwater Beamforming: Techniques, Challenges, And Future Directions, Ruba Zaheer, Quoc Viet Phung, Iftekhar Ahmad, Asma Aziz, Daryoush Habibi, Yue Rong, Walid K. Hasan

Research outputs 2022 to 2026

This paper comprehensively reviews recent advancements in Underwater Beamforming (UWB) systems, highlighting its pivotal role in underwater communication, sensing, and environmental monitoring. It explores the various beamforming applications, ranging from maritime surveillance to marine life monitoring, and indicates its significance in enhancing signal clarity, spatial resolution, and noise suppression in underwater acoustic environments. The unique challenges posed by the underwater environment that introduce complexities into the beamforming process such as non-stationary noise interference, severe signal attenuation, multipath propagation, and dynamic environmental variability are thoroughly discussed. The review systematically discusses and examines conventional, adaptive, and learning-based beamforming techniques, analyzing their strengths, …

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Effect Of Molybdenum Content On The Microstructure And Tribological Properties Of Ti-Nb-Cu Alloys Produced By Lpbf Additive Manufacturing, Lei Qin, Shengfeng Zhou, Jianbo Jin, Huan Yang, Kunmao Li, Cheng Deng, Yujie Yuan, Seyed Reza Elmi Hosseini, Laichang Zhang Jan 2026

Effect Of Molybdenum Content On The Microstructure And Tribological Properties Of Ti-Nb-Cu Alloys Produced By Lpbf Additive Manufacturing, Lei Qin, Shengfeng Zhou, Jianbo Jin, Huan Yang, Kunmao Li, Cheng Deng, Yujie Yuan, Seyed Reza Elmi Hosseini, Laichang Zhang

Research outputs 2022 to 2026

Obtaining excellent wear resistance is critical for titanium alloys used as orthopedic implants. In this study, the β-type Ti-35Nb-5Cu- x Mo alloys (Ti355 x , x = 0, 1, 2, and 4 wt%) were fabricated by the laser powder bed fusion (LPBF) method. In the meantime, the influence mechanism of Mo content on the microstructure and tribological properties was systematically investigated. The results show that all the LPBF-produced Ti355 x alloys exhibit a bimodal columnar-equiaxed grain structure, with Mo refining columnar grains and suppressing the α″ phase formation. Moreover, increasing the Mo content reduced the relative density, while enhancing the …

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Numerical Investigation Of The Influence Of Fiber Content On The Shear Performance Of Uhpc Deep Beams Reinforced With Hybrid Steel And Synthetic Fibers, Hossein Mirzaaghabeik, Sanjay Kumar Shukla, Nuha S. Mashaan Jan 2026

Numerical Investigation Of The Influence Of Fiber Content On The Shear Performance Of Uhpc Deep Beams Reinforced With Hybrid Steel And Synthetic Fibers, Hossein Mirzaaghabeik, Sanjay Kumar Shukla, Nuha S. Mashaan

Research outputs 2022 to 2026

This study investigates the shear performance of ultra-high-performance concrete deep beams (UHPC-DBs) reinforced with hybrid fibers comprising 5D steel fibers and Forta-Ferro (FF) synthetic fibers. UHPC-DBs are widely used in bridges, piles, and transfer girders because of their high load-bearing capacity. Although fiber content strongly influences shear behavior, the contribution of synthetic fibers in hybrid systems remains insufficiently understood. To address this gap, finite element analysis based on the concrete damage plasticity (CDP) model was developed in ABAQUS and validated using experimental results from five previously tested UHPC-DBs with different fiber contents. Load–deflection response, crack patterns, shear capacity, mid-span deflection, …

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Optimizing The Size And Siting Of Distributed Generation In Unbalanced Distribution Systems With Multi-Objective Reptile Search Algorithm, Pema Dorji, Chimi Pelden Dorji, Stefan Lachowicz, Octavian Bass Jan 2026

Optimizing The Size And Siting Of Distributed Generation In Unbalanced Distribution Systems With Multi-Objective Reptile Search Algorithm, Pema Dorji, Chimi Pelden Dorji, Stefan Lachowicz, Octavian Bass

Research outputs 2022 to 2026

This paper presents the Multi-Objective Reptile Search algorithm for identifying ideal rating and location of distributed generation in unbalanced grids, focusing on minimizing power losses, total costs, and carbon emissions. The proposed methodology integrates DIgSILENT PowerFactory and Python platforms to evaluate unbalanced IEEE distribution feeders under varying power factor conditions. The results demonstrate that optimal DG configurations involve strategically positioning multiple units to enable both active and reactive power injection, significantly improving overall system performance across multiple objectives and voltage deviation index. The analysis identifies an optimal PF range between 0.75 and 0.89, with unity power factor operations yielding suboptimal …

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Combined Effect Of Porosity And Pore-Size Heterogeneity On Young’S Modulus Of Chemically Corroded Rocks, Hao Li, Zhenjiang You, Leo Pel, David Smeulders Jan 2026

Combined Effect Of Porosity And Pore-Size Heterogeneity On Young’S Modulus Of Chemically Corroded Rocks, Hao Li, Zhenjiang You, Leo Pel, David Smeulders

Research outputs 2022 to 2026

Young’s modulus is a critical parameter for evaluating the stability of rock reservoirs, such as CO₂ geological storage. These reservoirs are exposed to chemically corrosions, which alter the pore structure, particularly porosity and pore size heterogeneity, thereby affecting Young’s modulus. This study conducted multiscale experiments to investigate how acid-driven chemical corrosion affects pore structure and its relationship with the Young’s modulus of rocks. Nuclear Magnetic Resonance (NMR) was used to characterize pore structure evolution, while corrosion mechanisms were examined via mass loss, XRD, pH monitoring, and ion chromatography. Based on the experimental results, a Kinetic Weibull Modulus (KWM) model was …

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Load-Settlement Behaviour Of Tailings Dam Foundation Strengthened Using The Wraparound Geosynthetic Reinforcement Technique, Francis Otieno, Sanjay Kumar Shukla Jan 2026

Load-Settlement Behaviour Of Tailings Dam Foundation Strengthened Using The Wraparound Geosynthetic Reinforcement Technique, Francis Otieno, Sanjay Kumar Shukla

Research outputs 2022 to 2026

This paper presents a numerical investigation of the load–settlement behaviour of a geosynthetic-reinforced tailings foundation comprised of gold tailings, subjected to the weight of a tailings dam embankment. The study considered varying conditions, including the horizontal and vertical components of the wraparound reinforcement, reinforcement burial depth, and shear strength parameters of the foundation material. A particular focus of this study is to investigate the effect of reinforcement wraparound ends on the settlement behaviour of the foundation using commercially available finite element (FE) software. The reinforcement is a single-layer biaxial woven geotextile, with and without wraparound ends, at varying depths from …

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Renewable And Affordable Energy For Apartments. Inquiry Into Renewable And Affordable Energy For Apartments, Nishadi Ruwandima Weerasinghe Mudiyanselage, Asma Aziz Jan 2026

Renewable And Affordable Energy For Apartments. Inquiry Into Renewable And Affordable Energy For Apartments, Nishadi Ruwandima Weerasinghe Mudiyanselage, Asma Aziz

Research outputs 2022 to 2026

Recent literature identifies a persistent disparity between detached housing and apartments in accessing renewable and affordable electricity. While rooftop solar PV deployment in Australia  has expanded rapidly since 2017, access to these technologies in multi-unit dwellings (MUDs) remains limited, resulting in higher electricity costs for apartment residents compared with standalone houses. This inequity is increasingly significant given rising electricity prices and the growing share of Australians living in apartments.

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A Universal Hybrid Model-Free Deep Quantum–Transfer Learning Controller Enhanced By Grey Wolf Optimization For Dc–Dc Boost Converters With Hardware-In-Loop Validation, Seyyed Morteza Ghamari, Asma Aziz Jan 2026

A Universal Hybrid Model-Free Deep Quantum–Transfer Learning Controller Enhanced By Grey Wolf Optimization For Dc–Dc Boost Converters With Hardware-In-Loop Validation, Seyyed Morteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

This paper proposes a universal hybrid model-free quantum–transfer learning controller with enhanced online grey wolf optimization algorithm (GWO–QTL) for DC–DC boost converter. This system has the characteristics of non-minimum phase behavior, parasitic effects, and fractional-order dynamics because of high frequency operation. These characteristics make analytical modeling complicated and make it difficult to have a single traditional controller that will operate reliably over different converter types. This motivates the creation of a unified model-free control framework that is able to learn directly from the behavior of the converter without relying on the topology specific models. Reinforcement learning, where an agent interacts …

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Enhanced Strength And Corrosion Resistance Of Ti-13nb-12ta-10zr-4sn Alloy By Aging Treatment, Yuhua Li, Rong Zhao, Qian Zhang, Haojie Wang, Yujing Liu, Lai Chang Zhang Jan 2026

Enhanced Strength And Corrosion Resistance Of Ti-13nb-12ta-10zr-4sn Alloy By Aging Treatment, Yuhua Li, Rong Zhao, Qian Zhang, Haojie Wang, Yujing Liu, Lai Chang Zhang

Research outputs 2022 to 2026

This work investigates the effect of aging treatment on the mechanical properties and corrosion resistance of Ti-13Nb-12Ta-10Zr-4Sn (TNTZS) alloy prepared by vacuum arc melting. The as-cast TNTZS alloy was solution-treated and aged at 450°C (HT450) and 550°C (HT550). Microstructural characterization revealed significant changes in the phase proportion (in vol%), which transformed from 64% β, 19% α, and 17% α″ in as-cast condition to 54% β, 13% α, and 33% α″ for HT450 and 55% β, 25% α, and 20% α″ for HT550, respectively. The tensile strength and yield strength increased from 608 and 424 MPa in as-cast condition to 1192 …

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A Novel Hybrid Robust Transfer Learning-Based Adaptive Fractional-Order Super-Twisting Sliding Mode Controller Enhanced For Speed Regulation Of Brushless Dc Motor, Seyyed Morteza Ghamari, Asma Aziz, Daryoush Habibi Jan 2026

A Novel Hybrid Robust Transfer Learning-Based Adaptive Fractional-Order Super-Twisting Sliding Mode Controller Enhanced For Speed Regulation Of Brushless Dc Motor, Seyyed Morteza Ghamari, Asma Aziz, Daryoush Habibi

Research outputs 2022 to 2026

Brushless DC (BLDC) motors are widely used in applications that are highly-efficient, reliable, and compact, such as electric vehicles, robotics, and medical devices. However, the inherent nonlinearities and load sensitivity of BLDC motors require a robust and adaptive control strategy to ensure satisfactory performance under various operating conditions. Sliding mode control (SMC) has been widely used for the BLDC drives. However, because of its simplicity and robustness, the control effectiveness of the control is limited by the sensitivity to the disturbances and the chattering phenomenon. To remedy this, super-twisting (ST) technique has been proposed to achieve smoother response and better …

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