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Articles 11971 - 12000 of 196009

Full-Text Articles in Engineering

From Waste To Worth: Advances In Energy Recovery Technologies For Solid Waste Management, Tarek Abedin, Jagadeesh Pasupuleti, Johnny Koh Siaw Paw, Yaw Chong Tak, Md Rakibul Islam, Mohammad Khairul Basher, Mohammad Nur-E-Alam Jan 2025

From Waste To Worth: Advances In Energy Recovery Technologies For Solid Waste Management, Tarek Abedin, Jagadeesh Pasupuleti, Johnny Koh Siaw Paw, Yaw Chong Tak, Md Rakibul Islam, Mohammad Khairul Basher, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

Abstract: Clean, inexpensive, and renewable energy sources with zero adverse environmental impact are essential for long-term sustainability. Implementing waste-to-energy (WtE) technologies has been suggested to improve solid waste management and promote the development of clean and sustainable urban environments. This involves the retrieval of waste materials and their conversion to electricity. By 2050, the global rate of Municipal Solid Waste (MSW) production is anticipated to rise to 2.01 billion tonnes annually. This study evaluated various WtE technologies that have been developed to date. These technologies can be categorized into three groups: thermochemical methods (incineration, pyrolysis, and gasification), biochemical methods (anaerobic …

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Optimization Of Inverted Perovskite Solar Cells: Simulation Insights Into Nio And Mixed-Cation Integration For Enhanced Efficiency, Bo Yao, Hairul Mardiah Hamzah, Sharifah Fatmadiana Bt Wan Muhammad Hatta, Faiz Arith, Mohammad Nur-E-Alam, Mohammad Aminul Islam Jan 2025

Optimization Of Inverted Perovskite Solar Cells: Simulation Insights Into Nio And Mixed-Cation Integration For Enhanced Efficiency, Bo Yao, Hairul Mardiah Hamzah, Sharifah Fatmadiana Bt Wan Muhammad Hatta, Faiz Arith, Mohammad Nur-E-Alam, Mohammad Aminul Islam

Research outputs 2022 to 2026

Inverted perovskite solar cells are one of the most promising technologies for the next generation of photovoltaics, due to excellent stability and a relatively simple fabrication process. Nevertheless, attaining high efficiency remains a challenge in integrating appropriate materials for HTL and an absorber layer. This work focuses on SCAPS-1D simulations to optimize the design of inverted PSCs using NiO as the HTL and a mixed-cation perovskite, MA₀.₄FA₀.₆PbI₃, as an absorber. By employing a controlled variable method, the thickness of the absorber layer was optimized within the range of 300 nm to 900 nm. The optimal performance was achieved when the …

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3d Printing Parameter Optimisation Combined With Heat Treatment For Achieving High Density And Enhanced Performance In Refractory High-Entropy Alloys, Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang, Lai Chang Zhang, Kuaishe Wang, Wen Wang, Lechun Xie, Liqiang Wang, Weijie Lu, Di Zhang Jan 2025

3d Printing Parameter Optimisation Combined With Heat Treatment For Achieving High Density And Enhanced Performance In Refractory High-Entropy Alloys, Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang, Lai Chang Zhang, Kuaishe Wang, Wen Wang, Lechun Xie, Liqiang Wang, Weijie Lu, Di Zhang

Research outputs 2022 to 2026

In this study, a Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) high-entropy alloy was fabricated using laser powder bed fusion (LPBF). By integrating 63 sets of parameter trials with machine learning (ML) models, an optimised process window was identified, achieving a density of up to 99.9%. The combination of relatively high laser power and low scanning speed resulted in the formation of a stable cellular structure. Subsequent heat treatments at 700, 850, and 1000°C showed that while small-angle misorientations developed at cell-wall interfaces and medium-entropy (Ti–Zr–Mo) second-phase particles precipitated preferentially in the cell walls, the overall cellular architecture remained intact. Mechanical testing showed that these …

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Beyond Assessment Security: A Critical Policy Analysis Of Four Alternative Strategies To Uphold Academic Integrity And Adopt The Genai Transformation Of Teaching And Learning For An Accredited Engineering Degree, Sasha Nikolic, Montserrat Ros, Yasir M. Al-Abdeli, Helen Fairweather Jan 2025

Beyond Assessment Security: A Critical Policy Analysis Of Four Alternative Strategies To Uphold Academic Integrity And Adopt The Genai Transformation Of Teaching And Learning For An Accredited Engineering Degree, Sasha Nikolic, Montserrat Ros, Yasir M. Al-Abdeli, Helen Fairweather

Research outputs 2022 to 2026

Generative Artificial Intelligence (GenAI), exemplified by tools such as ChatGPT, has posed significant challenges and opportunities in the realm of academic integrity, particularly in engineering education. This commentary critically examines alternative strategies that go beyond traditional assessment security, aiming to uphold academic integrity while embracing the transformative potential of GenAI in teaching and learning. In the context of programs that rely on unit level outcomes to determine the overall student progression (not the programmatic approach to progression), this study identifies and explores four strategies that may offer potential improvements to assessment security: I-risk-level analysis, which aligns the mix of supervised …

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Joint Channel Allocation And Power Control For Mission-Critical Applications In Sustainable Underwater Acoustic Networks, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi Jan 2025

Joint Channel Allocation And Power Control For Mission-Critical Applications In Sustainable Underwater Acoustic Networks, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi

Research outputs 2022 to 2026

Underwater Acoustic Networks (UANs) are gaining popularity for underwater communication due to their long-range capabilities. However, they experience significant challenges, including limited bandwidth and spectrum overlap with marine mammal vocalizations, which raises concerns about the sustainable and ethical use of underwater acoustic resources. This study proposes an eco-friendly approach that integrates joint channel allocation and power control to minimize harmful interference with marine life while ensuring reliable communication for mission-critical applications, such as diver safety. To balance marine protection and communication reliability, this work introduces a strategy for intelligent spectrum management, where nodes first sense the acoustic spectrum to detect …

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Investigation Of Under-Frequency Load Shedding Prevention Of Isolated Medium-Sized Power Systems Using Energy Storage, Dilan Indoopa Manamperi Jan 2025

Investigation Of Under-Frequency Load Shedding Prevention Of Isolated Medium-Sized Power Systems Using Energy Storage, Dilan Indoopa Manamperi

Theses: Doctorates and Masters

Due to the rapid uptake of distributed photovoltaic generation, the visible load to transmission operators in distribution feeders is reducing. Traditional load-shedding schemes are facing challenges due to this low-load situation. The required amount of load reduction cannot be achieved with the same load-shedding scheme as before. In some situations, with reverse power flows, load shedding can further increase the generation reduction. On the other hand, increased Rate of Change of Frequency (RoCoF) due to low inertia can result in false activation of under-frequency load shedding (UFLS) relays. These challenges can cause a serious problem with the power system security. …

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Enhancing Energy Efficiency In Solar Thermal Systems: The Role Of Hybrid Nanofluids In Sustainable Energy Harvesting And Storage, Seyedehzahra Haeri Jan 2025

Enhancing Energy Efficiency In Solar Thermal Systems: The Role Of Hybrid Nanofluids In Sustainable Energy Harvesting And Storage, Seyedehzahra Haeri

Theses: Doctorates and Masters

Global energy demand continues to grow, making the reliance on fossil fuels increasingly unsustainable due to dwindling reserves and environmental impacts. Among these, solar thermal systems have emerged as a practical and environmentally friendly solution, with applications ranging from industrial heating and solar water heating to concentrated solar power (CSP) plants and solar desalination units. Solar-based thermal systems offer a promising alternative, with nanofluids (NFs) emerging as a transformative solution. Engineered by dispersing nanoparticles into base fluids, NFs enhance thermal conductivity, heat absorption, and efficiency. Notably, nanoparticles such as titanium nitride also act as nano-catalysts, improving chemical reactions and reducing …

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Applications Of Reservoir Simulation And Machine Learning In Subsurface Energy Systems For Decarbonization, Seyedmohammadmehdi Nassabeh Jan 2025

Applications Of Reservoir Simulation And Machine Learning In Subsurface Energy Systems For Decarbonization, Seyedmohammadmehdi Nassabeh

Theses: Doctorates and Masters

The transition to a low-carbon future necessitates innovative approaches to carbon management and hydrogen storage, particularly in the context of enhanced oil recovery (EOR) from hydrocarbon reservoirs. This study employs advanced analytics and machine learning techniques to optimize carbon management strategies. One key focus of this research is to evaluate the effectiveness of flue gas and CO2 in Water Alternating Gas (WAG) injection within a homogeneous fractured carbonate reservoir characterized by low porosity and permeability. A computational model was developed to depict the flow regime in the reservoir and simulate reservoir fluid behavior using Eclipse (E300) software, various hybrid EOR …

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Modulation Techniques For Underwater Acoustic Communication: A Comprehensive Survey, Muhammad Haziq, Quoc Viet Phung, Stefan Lachowicz, Daryoush Habibi, Iftekhar Ahmad Jan 2025

Modulation Techniques For Underwater Acoustic Communication: A Comprehensive Survey, Muhammad Haziq, Quoc Viet Phung, Stefan Lachowicz, Daryoush Habibi, Iftekhar Ahmad

Research outputs 2022 to 2026

The underwater acoustic channel poses a significant challenge among communication mediums due to its time-varying dynamics, long multipath propagation, and severe Doppler shifts. Ensuring reliable data transmission under these conditions demands advanced modulation techniques, sophisticated signal processing algorithms, and high energy consumption. Moreover, underwater communication nodes typically have limited battery reserves, making them difficult and costly to replace or recharge. Additionally, as underwater communication networks expand, the risk of security threats that could compromise the system has increased, necessitating robust security measures that add further computational overhead. This comprehensive survey reviews the state-of-the-art modulation techniques for underwater acoustic communication, concentrating …

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Techno-Economic And Eco-Friendly Msw-Based Strategy To Reduce The Impact Of Rajshahi City Electric Vehicle Power Outage In Bangladesh, Shah Tanvir Alam Rimon, Md Shahriar Mohtasim, Md Golam Kibria, Mim Mashrur Ahmed, Barun K. Das Jan 2025

Techno-Economic And Eco-Friendly Msw-Based Strategy To Reduce The Impact Of Rajshahi City Electric Vehicle Power Outage In Bangladesh, Shah Tanvir Alam Rimon, Md Shahriar Mohtasim, Md Golam Kibria, Mim Mashrur Ahmed, Barun K. Das

Research outputs 2022 to 2026

Population growth, economic expansion, urbanization, and evolving consumer habits are driving a significant increase in municipal solid waste generation, placing Bangladesh under immense societal pressure to manage and dispose of this waste effectively. Numerous studies have examined municipal solid waste management practices in Bangladesh, yet the potential for utilizing the generated energy to charge electric vehicles (EVs) remains unexplored. Therefore, in this study, waste-to-energy technologies such as landfill gas recovery (LGR), incineration (INC) and anaerobic digestion (AD) were assessed for energy recovery, economic feasibility, and global warming potential in Rajshahi City Corporation, Bangladesh, to meet the extra electricity demand imposed …

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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 Jan 2025

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 …

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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 Jan 2025

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 …

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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 Jan 2025

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 …

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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 Jan 2025

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/m2 …

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Development And Characterization Of Sustainable Coal–Biomass Briquettes Of Sub-Bituminous Coal And Levistona Chinensis Biomass, Amad Ullah Khan, Borhen Louhichi, Muhammad Abas, Muhammad Saleem, Nashmi H. Alrasheedi, Farida Anjum, Aamer Sharif Jan 2025

Development And Characterization Of Sustainable Coal–Biomass Briquettes Of Sub-Bituminous Coal And Levistona Chinensis Biomass, Amad Ullah Khan, Borhen Louhichi, Muhammad Abas, Muhammad Saleem, Nashmi H. Alrasheedi, Farida Anjum, Aamer Sharif

Research outputs 2022 to 2026

The increasing demand for sustainable energy solutions has driven the exploration of alternative fuels, such as coal–biomass briquettes, which combine the benefits of both coal and renewable biomass sources. This study focuses on the development and characterization of sustainable coal–biomass briquettes made from sub-bituminous coal (SubC) and Levistona chinensis seed biomass, with the aim of reducing environmental impact and enhancing combustion properties. Briquettes were produced by varying the coal-to-biomass ratios (90:0–0:90), with 10% corn starch used as a binder. Proximate analysis revealed that increasing biomass content raised moisture (5.85%–14.25%) and volatile matter (VM; 24.75%–32.5%), while reducing ash (15.75%–3.39%) and fixed …

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3d Engineered Scaffolds Of Conjugated Polymers/Metal Organic Frameworks For Biomedical Applications, Amin Hosseini Sharifabad, Roham Ghanbari, Mohammad Reza Saeb, Ehsan Nazarzadeh Zare, Filippo Rossi, Mehdi Salami-Kalajahi, Pooyan Makvandi Jan 2025

3d Engineered Scaffolds Of Conjugated Polymers/Metal Organic Frameworks For Biomedical Applications, Amin Hosseini Sharifabad, Roham Ghanbari, Mohammad Reza Saeb, Ehsan Nazarzadeh Zare, Filippo Rossi, Mehdi Salami-Kalajahi, Pooyan Makvandi

Research outputs 2022 to 2026

The extracellular matrix can be replicated by 3D scaffolds, providing a favorable environment for cell growth, proliferation, and differentiation. Despite their biocompatibility, biodegradability, and bioactivity, the poor mechanical strength of 3D scaffolds limits their use for heavy loads. This creates a bottleneck in the supply of scaffolds with enhanced mechanical strength and all the previously mentioned characteristics. Conjugated polymers have emerged as a promising option for 3D scaffold construction due to their electrical conductivity, adjustable surface qualities, and ability to transfer bioactive molecules. Moreover, metal-organic frameworks (MOFs) are a rapidly emerging class of nanomaterials due to their uniform porosity, excellent …

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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 Jan 2025

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 …

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Critical Success Criteria For Construction Projects: A Systematic Literature Evaluation, Neda Kiani Mavi, Kerry Brown, Richard Glenn Fulford, Mark Goh Jan 2025

Critical Success Criteria For Construction Projects: A Systematic Literature Evaluation, Neda Kiani Mavi, Kerry Brown, Richard Glenn Fulford, Mark Goh

Research outputs 2022 to 2026

Purpose: Evaluating project success within the construction industry presents challenges due to the unique characteristics of the sector, the complexity of projects, and the involvement of diverse stakeholders. Conducting a bibliometric analysis, this paper aims to unravel the major research themes and methodologies utilised by researchers in studying the critical success criteria for construction projects, as well as extracting these success criteria. Design/methodology/approach: The researchers systematically searched and screened 95 papers from Scopus and Web of Science (WoS) databases. This study conducted research focus parallelship network (RFPN) analysis and keywords co-occurrence network (KCON) analysis using BibExcel and Gephi to cluster …

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Forecasting Data-Driven System Strength Level For Inverter-Based Resources-Integrated Weak Grid Systems Using Multi-Objective Machine Learning Algorithms, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum Jan 2025

Forecasting Data-Driven System Strength Level For Inverter-Based Resources-Integrated Weak Grid Systems Using Multi-Objective Machine Learning Algorithms, Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A.S. Masoum

Research outputs 2022 to 2026

Shortage of grid-fault level, known as system strength inadequacy, impacts on grid instability and can lead to blackouts. System strength is generally measured by short circuit ratio index at point of coupling (POC) of inverter-based resources (IBRs) and the grid system. Nowadays, accurate knowledge of system strength forecasting for ‘next day’ to ‘next week’ duration is essential to power system operators, owing to the higher-growth of IBRs. However, releavant publications about this subject remain limited when compared with load demand, active and reactive power prediction. Therefore, a data-driven system strength forecasting scheme is presented in this paper to surmount these …

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Mxene Based Composite Phase Change Materials For Thermal Energy Storage Applications: Featuring Bio-Mimic Approaches, Md Shahriar Mohtasim, Barun K. Das Jan 2025

Mxene Based Composite Phase Change Materials For Thermal Energy Storage Applications: Featuring Bio-Mimic Approaches, Md Shahriar Mohtasim, Barun K. Das

Research outputs 2022 to 2026

Phase change materials (PCMs) are widely used in thermal energy storage systems, but their underlying drawbacks, such as poor heat conductivity and phase transition leakage, make them unsuitable for widespread use. MXenes have received a lot of curiosity due to having extraordinary mechanical properties, high electrical conductivity, and unique layered structure. Owing to the exquisite arrangements, numerous unique biomimetic morphologies have drawn attention. Numerous investigations regarding bio-mimic MXene/PCM composites (BMX-CPCMs) have found improvements in latent heat up to 106.50 % on average, along with excellent thermal stability with no matrix leakage in 500 cycles and an upsurge in thermal conductivity …

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Photo-Thermal Conversion Properties Of Hybrid Nh2-Mil-125/Tin/Eg Nanofluids For Solar Energy Harvesting, Seyedeh Zahra Haeri, Mehdi Khiadani, Bahram Ramezanzadeh, Hamed Kariman, Masoumeh Zargar Jan 2025

Photo-Thermal Conversion Properties Of Hybrid Nh2-Mil-125/Tin/Eg Nanofluids For Solar Energy Harvesting, Seyedeh Zahra Haeri, Mehdi Khiadani, Bahram Ramezanzadeh, Hamed Kariman, Masoumeh Zargar

Research outputs 2022 to 2026

Nanofluids, engineered by dispersing nanoparticles into base fluids, have demonstrated significant potential in enhancing the performance of solar collectors. Their superior thermal conductivity and improved heat transfer properties lead to more efficient energy absorption and utilization in solar thermal systems. This study comprehensively investigated and compared the performance of ethylene glycol (EG)-based NH2-MIL-125/TiN (MIL/TiN) composite nanofluids, fabricated by a two-step method, with single-component nanofluids in photothermal utilization. The results illustrated that incorporating NH2-MIL-125 (MIL) nanoparticles enhances the stability of TiN nanofluids in EG. Additionally, the thermal conductivity and optical absorption properties of the hybrid nanofluids exhibited a positive correlation with …

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A Critical Review On Parameters Affecting The Feasibility Of Underground Hydrogen Storage, Chiradip Bagchi, Samarth D. Patwardhan, Stefan Iglauer, Hisham Ben Mahmud, Muhammad Fazil Jaffar Ali Jan 2025

A Critical Review On Parameters Affecting The Feasibility Of Underground Hydrogen Storage, Chiradip Bagchi, Samarth D. Patwardhan, Stefan Iglauer, Hisham Ben Mahmud, Muhammad Fazil Jaffar Ali

Research outputs 2022 to 2026

The need and demand for energy are ever increasing with the rapid urbanization of the global population. Near-future economic development and consequent expected industrialization are the strongest indicators of the rising energy requirement. Though fossil fuel and coal are catering toward a major chunk of energy demand, their negative or adverse impact in terms of emission of greenhouse gases (GHGs) and carbon dioxide (CO2) is causing global warming and imbalance in environmental conditions, leading to a search for commercially viable alternate energy types. As renewable energies like solar and wind are weather-dependent, the search for an alternate energy supply needs …

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Fatigue Properties Of 3d-Printed Polymeric Metamaterials: A Review, Ani Daniel, Hamed Bakhtiari, Alireza Nouri, Barun K. Das, Muhammad Aamir, Majid Tolouei-Rad Jan 2025

Fatigue Properties Of 3d-Printed Polymeric Metamaterials: A Review, Ani Daniel, Hamed Bakhtiari, Alireza Nouri, Barun K. Das, Muhammad Aamir, Majid Tolouei-Rad

Research outputs 2022 to 2026

The present article provides an in-depth review of the fatigue properties of polymeric metamaterials, with particular emphasis on those manufactured using 3D printing techniques. Despite the significant potential of 3D-printed metamaterial polymers in the biomedical field, there has been limited studies dedicated to their fatigue behaviour. The article highlights the significance of fatigue behaviour in determining the reliability and longevity of polymeric materials under cyclic loading, which is crucial for biomedical applications. The effects of different 3D printing parameters, metamaterial designs, and polymer properties on fatigue life are explored. The fatigue response of metamaterials depends on material properties, geometric factors, …

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From Fabrication To Function: Mechanical Insights Into Gelma Microneedle Arrays, Moloud Amini Baghbadorani, Masoumeh Zargar, Asghar Eskandarinia, Majid Tolouei-Rad Jan 2025

From Fabrication To Function: Mechanical Insights Into Gelma Microneedle Arrays, Moloud Amini Baghbadorani, Masoumeh Zargar, Asghar Eskandarinia, Majid Tolouei-Rad

Research outputs 2022 to 2026

Gelatin methacryloyl (GelMA) has emerged as a highly suitable material for microneedle (MN) fabrication, offering exceptional biocompatibility and cost-effectiveness. Despite significant advances introduced by GelMA hydrogels, research on GelMA MNs dates back to 2019, yet no review has specifically focused on the manufacturing techniques and mechanical properties of GelMA MNs. For the first time, this review aims to examine the manufacturing methods and mechanical characteristics of GelMA microneedles across various medical applications. Additionally, it discusses different approaches to mechanical characterization and identifies gaps in current manufacturing technologies. The review also explores the potential implications of GelMA MNs in drug delivery …

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Hydrogen-Induced Transformations In Dolomite: Unlocking Natural Hydrogen Exploration And Subsurface Storage In Carbonates, Krista Davies, Lionel Esteban, Joel Sarout, Alireza Keshavarz, Stefan Iglauer Jan 2025

Hydrogen-Induced Transformations In Dolomite: Unlocking Natural Hydrogen Exploration And Subsurface Storage In Carbonates, Krista Davies, Lionel Esteban, Joel Sarout, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Large-scale subsurface geological storage of hydrogen can significantly contribute to the energy transition to low-carbon fuels by addressing the intermittency of renewable energy systems. Dolomite formations are abundant and well-suited for hydrogen storage due to their favorable reservoir properties. Natural hydrogen has also been discovered within dolomite reservoirs globally. Despite their potential, interactions between hydrogen and dolomitic formations under subsurface conditions remain poorly understood, particularly regarding mineralogical transformations and reaction kinetics to assess potential risk for reservoir quality for long-term storage and key indicators for natural hydrogen exploration. This study examined physicochemical changes in dolomitic samples during high-pressure hydrogen ageing …

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Machine Learning-Based Seismic Response Forecasting Using Feature Mapping Algorithms And Scientometric Analysis Of Nailed Vertical Excavation In A Soil Mass, Surya Muthukumar, Dhanya Sathyan, Premjith B, Sanjay Kumar Shukla Jan 2025

Machine Learning-Based Seismic Response Forecasting Using Feature Mapping Algorithms And Scientometric Analysis Of Nailed Vertical Excavation In A Soil Mass, Surya Muthukumar, Dhanya Sathyan, Premjith B, Sanjay Kumar Shukla

Research outputs 2022 to 2026

Seismic analysis often involves significant uncertainty and requires detailed observations. The traditional approaches are constrained by unclear mechanisms and imprecise models to predict the stability of geostructures. The research gap between the accuracy of observed and predicted values can be bridged by employing artificial intelligence-based machine learning (ML) models. The seismic displacement of the nailed soil wall obtained from experimental studies were assessed using suitable ML approaches. Laboratory studies revealed that the critical acceleration was increased by 32% on the inclusion of nails of reinforcement length to excavation height ratio (L/H) to 0.6, and by 17% when the (L/H) was …

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Characterization, Optimization, And Performance Evaluation Of Pcm With Al2o3 And Zno Hybrid Nanoparticles For Photovoltaic Thermal Energy Storage, Md Golam Kibria, Utpol K. Paul, Md Shahriar Mohtasim, Barun K. Das, N. N. Mustafi Jan 2025

Characterization, Optimization, And Performance Evaluation Of Pcm With Al2o3 And Zno Hybrid Nanoparticles For Photovoltaic Thermal Energy Storage, Md Golam Kibria, Utpol K. Paul, Md Shahriar Mohtasim, Barun K. Das, N. N. Mustafi

Research outputs 2022 to 2026

The electrical efficiency of the photovoltaic (PV) panel is affected significantly with increased cell temperature. Among various approaches, the use of Phase Change Materials (PCMs) with nanoparticles is currently one of the most effective for reducing and managing the temperature of PV panels. In this study, paraffin wax as PCM with different loading levels (0.5 %, 1 %, and 2 %) of hybrid nanoparticles Al2O3 and ZnO were successfully synthesized and their effects on the performance of the Photovoltaic-Thermal (PVT) system were investigated experimentally. Additionally, a prediction model was developed to analyze the interaction between the operating factors (independent variable) …

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Transplant Surgeon Fuzzy Associative Memory (Tsfam): Model For Capturing Surgeon Perspective, Rachel Dzieran, Cihan H. Dagli, Robert J. Marley Jan 2025

Transplant Surgeon Fuzzy Associative Memory (Tsfam): Model For Capturing Surgeon Perspective, Rachel Dzieran, Cihan H. Dagli, Robert J. Marley

Engineering Management and Systems Engineering Faculty Research & Creative Works

AI-driven healthcare decision-making is multi-faceted, requiring complex logic to adapt to evolving policies and societal demands. Effective change implementation by healthcare providers and multidisciplinary organ transplant teams depends on adaptive decision-making. The proposed Transplant Surgeon Fuzzy Associative Memory (TSFAM) model introduces a novel approach to Human-AI Teaming, keeping human expertise central while dynamically adjusting to changing requirements. TSFAM employs fuzzy logic to manage imperfect data and human ambiguity, integrating the transplant surgeon perspective with the AI deep learning decision-making tool, creating a resilient solution in this critical domain. By embedding adaptive capabilities into the architecture, TSFAM exemplifies the adaptability of …

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Predictive Modeling For Optimal Gel Treatment Design In Brownfields Using Ensemble Machine Learning And Data Upsampling Via Generative Ai, Munqith Aldhaheri, Baojun Bai, Mingzhen Wei Jan 2025

Predictive Modeling For Optimal Gel Treatment Design In Brownfields Using Ensemble Machine Learning And Data Upsampling Via Generative Ai, Munqith Aldhaheri, Baojun Bai, Mingzhen Wei

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Efficiently designed gel treatments play a vital role in extending the lifespan of brownfields through rejuvenating oil production. Recently, a three-mode mathematical methodology named the VCR approach has been proposed for designing effective treatments. To optimize this approach, it is crucial to determine the appropriate design mode systematically rather than relying solely on the intuitive judgments of field operators. This study introduces an advanced methodology for predicting the optimal design type of gel treatments using 12 reservoir and production variables. The methodology integrates ensemble machine-learning (EML) models with historical data from 65 field projects across 11 countries (1985-2020). The Random …

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Characterization And Leaching Feasibility Studies Of Copper Flue Dust For The Recovery Of Main And Trace Metals, Fardis Nakhaei, Marek Locmelis, Lana Alagha, Michael S. Moats, Carlos Eyzaguirre, Cory Smith Jan 2025

Characterization And Leaching Feasibility Studies Of Copper Flue Dust For The Recovery Of Main And Trace Metals, Fardis Nakhaei, Marek Locmelis, Lana Alagha, Michael S. Moats, Carlos Eyzaguirre, Cory Smith

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Although copper smelter dust (CSD) is classified as hazardous waste, it also serves as a valuable secondary resource, offering potential for the recovery of critical elements. In this study, CSD samples were collected from the waste heat boiler (WHB) and electrostatic precipitator (ESP) units connected to the flash smelting furnace at a copper smelter. The representative samples were extensively characterized by particle size, and chemical and mineralogical analyses. Following sample characterization, leaching experiments were performed to evaluate the potential extraction of Cu, Fe, As, Zn, Pb, In, Ga, and Ge from the flue dusts. Distilled water, H2SO4, and HCl were …

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