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Articles 1 - 30 of 895
Full-Text Articles in Engineering
An Improved Genetic Algorithm Based Fractional Open Circuit Voltage Mppt For Solar Pv Systems, Aakash Hassan, Octavian Bass, Mohammad A. S. Masoum
An Improved Genetic Algorithm Based Fractional Open Circuit Voltage Mppt For Solar Pv Systems, Aakash Hassan, Octavian Bass, Mohammad A. S. Masoum
Research outputs 2022 to 2026
To extract the maximum power from solar PV, maximum power point tracking (MPPT) controllers are needed to operate the PV arrays at their maximum power point under varying environmental conditions. Fractional Open Circuit Voltage (FOCV) is a simple, cost-effective, and easy to implement MPPT technique. However, it suffers from the discontinuous power supply and low tracking efficiency. To overcome these drawbacks, a new hybrid MPPT technique based on the Genetic Algorithm (GA) and FOCV is proposed. The proposed technique is based on a single decision variable, reducing the complexity and convergence time of the algorithm. MATLAB/Simulink is used to test …
Influence Of Organics And Gas Mixing On Hydrogen/Brine And Methane/Brine Wettability Using Jordanian Oil Shale Rocks: Implications For Hydrogen Geological Storage, Amer Alanazi, Nurudeen Yekeen, Mujahid Ali, Muhammad Ali, Israa S. Abu-Mahfouz, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit
Influence Of Organics And Gas Mixing On Hydrogen/Brine And Methane/Brine Wettability Using Jordanian Oil Shale Rocks: Implications For Hydrogen Geological Storage, Amer Alanazi, Nurudeen Yekeen, Mujahid Ali, Muhammad Ali, Israa S. Abu-Mahfouz, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit
Research outputs 2022 to 2026
The substitution of fossil fuel with clean hydrogen (H2) has been identified as a promising route to achieve net zero carbon emissions by this century. However, enough H2 must be stored underground at an industrial scale to achieve this objective due to the low volumetric energy density of H2. In underground H2 storage, cushion gases, such as methane (CH4), are required to maintain a safe operational formation pressure during the withdrawal or injection of H2. The wetting characteristics of geological formations in the presence of H2, cushion gas, …
Hydrogen Storage In Depleted Gas Reservoirs: A Comprehensive Review, Nasiru S. Muhammed, Md Bashirul Haq, Dhafer A. Al Shehri, Amir Al-Ahmed, Mohammad M. Rahman, Ehsan Zaman, Stefan Iglauer
Hydrogen Storage In Depleted Gas Reservoirs: A Comprehensive Review, Nasiru S. Muhammed, Md Bashirul Haq, Dhafer A. Al Shehri, Amir Al-Ahmed, Mohammad M. Rahman, Ehsan Zaman, Stefan Iglauer
Research outputs 2022 to 2026
Hydrogen future depends on large-scale storage, which can be provided by geological formations (such as caverns, aquifers, and depleted oil and gas reservoirs) to handle demand and supply changes, a typical hysteresis of most renewable energy sources. Amongst them, depleted natural gas reservoirs are the most cost-effective and secure solutions due to their wide geographic distribution, proven surface facilities, and less ambiguous site evaluation. They also require less cushion gas as the native residual gases serve as a buffer for pressure maintenance during storage. However, there is a lack of thorough understanding of this technology. This work aims to provide …
A Review Of Hydrogen/Rock/Brine Interaction: Implications For Hydrogen Geo-Storage, Masoud Aslannezhad, Muhammad Ali, Azim Kalantariasl, Mohammad Sayyafzadeh, Zhenjiang You, Stefan Iglauer, Alireza Keshavarz
A Review Of Hydrogen/Rock/Brine Interaction: Implications For Hydrogen Geo-Storage, Masoud Aslannezhad, Muhammad Ali, Azim Kalantariasl, Mohammad Sayyafzadeh, Zhenjiang You, Stefan Iglauer, Alireza Keshavarz
Research outputs 2022 to 2026
Hydrogen (H2) is currently considered a clean fuel to decrease anthropogenic greenhouse gas emissions and will play a vital role in climate change mitigation. Nevertheless, one of the primary challenges of achieving a complete H2 economy is the large-scale storage of H2, which is unsafe on the surface because H2 is highly compressible, volatile, and flammable. Hydrogen storage in geological formations could be a potential solution to this problem because of the abundance of such formations and their high storage capacities. Wettability plays a critical role in the displacement of formation water and determines …
Texture-Based Latent Space Disentanglement For Enhancement Of A Training Dataset For Ann-Based Classification Of Fruit And Vegetables, Khurram Hameed, Douglas Chai, Alexander Rassau
Texture-Based Latent Space Disentanglement For Enhancement Of A Training Dataset For Ann-Based Classification Of Fruit And Vegetables, Khurram Hameed, Douglas Chai, Alexander Rassau
Research outputs 2022 to 2026
The capability of Convolutional Neural Networks (CNNs) for sparse representation has significant application to complex tasks like Representation Learning (RL). However, labelled datasets of sufficient size for learning this representation are not easily obtainable. The unsupervised learning capability of Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) provide a promising solution to this issue through their capacity to learn representations for novel data samples and classification tasks. In this research, a texture-based latent space disentanglement technique is proposed to enhance learning of representations for novel data samples. A comparison is performed among different VAEs and GANs with the proposed approach …
Digital Twin Applications In 3d Concrete Printing, Yuxin Wang, Farhad Aslani, Arcady Dyskin, Elena Pasternak
Digital Twin Applications In 3d Concrete Printing, Yuxin Wang, Farhad Aslani, Arcady Dyskin, Elena Pasternak
Research outputs 2022 to 2026
The benefits of 3D concrete printing (3DCP) include reducing construction time and costs, providing design freedom, and being environmentally friendly. This technology is expected to be effective in addressing the global house shortage. This review highlights the main 3DCP applications and four critical challenges. It is proposed to combine 3D concrete printing with Digital Twin (DT) technology to meet the challenges the 3DCP faces and improve quality and sustainability. This paper provides a critical review of research into the application of DT technology in 3DCP, categorize the applications and directions proposed according to different lifecycles, and explore the possibility of …
Proposal For And Validation Of Novel Risk-Based Process To Reduce The Risk Of Construction Site Fatalities (Major Accident Prevention (Map) Program), Roberta Selleck, Marcus Cattani, Maureen Hassall
Proposal For And Validation Of Novel Risk-Based Process To Reduce The Risk Of Construction Site Fatalities (Major Accident Prevention (Map) Program), Roberta Selleck, Marcus Cattani, Maureen Hassall
Research outputs 2022 to 2026
Despite developments in the prevention of fatalities in the construction industry, fatalities resulting from well-known hazards continue at an unacceptable rate. Construction fatality prevention literature describes risk management techniques to provide ‘early warning’ of potential events. In dynamic construction project environments, these ‘early warnings’ are missed resulting in serious and fatal events. Critical Control Risk Management (CCRM) provides an alternative strategy to prevent fatal events in the construction industry. However, no research exists that explores the application of CCRM to actual construction projects. This study aims to design, develop, and validate a construction fatality prevention program using CCRM principles through …
Behaviour And Material Properties Of Versaloc Semi-Interlocking Mortarless Masonry, Sonam Dorji, Hossein Derakhshan, David P. Thambiratnam, Tatheer Zahra, Alireza Mohyeddin
Behaviour And Material Properties Of Versaloc Semi-Interlocking Mortarless Masonry, Sonam Dorji, Hossein Derakhshan, David P. Thambiratnam, Tatheer Zahra, Alireza Mohyeddin
Research outputs 2022 to 2026
Masonry construction is popular around the world, but the use of mortared masonry presents numerous challenges. In recent decades, masonry construction systems incorporating interlocking masonry units have been proposed to eliminate mortar. The interlocking between masonry units can be achieved using specially shaped units. This paper presents a comprehensive experimental study to determine the behaviour as well as basic material properties of one such semi-interlocking mortarless masonry. The experiments included testings of ungrouted masonry units, prisms, and wallets. In addition, masonry prisms and wallets with grouted cores were also investigated to study the effect of grouting. A detailed description of …
Monitoring Fluid Migration Using In-Situ Nuclear Magnetic Resonance Core Flooding System Integrated With Fiber Optic Sensors: A Proof Of Concept, Bruno Da Silva Falcão, Lionel Esteban, Ausama Giwelli, Yevhen Kovalyshen, Stephen Banks, Ahmed Al-Yaseri, Alireza Keshavarz, Stefan Iglauer
Monitoring Fluid Migration Using In-Situ Nuclear Magnetic Resonance Core Flooding System Integrated With Fiber Optic Sensors: A Proof Of Concept, Bruno Da Silva Falcão, Lionel Esteban, Ausama Giwelli, Yevhen Kovalyshen, Stephen Banks, Ahmed Al-Yaseri, Alireza Keshavarz, Stefan Iglauer
Research outputs 2022 to 2026
In-situ nuclear magnetic resonance (NMR) core flooding system has enabled researchers to monitor several rock properties such as porosity, pore size distribution, and fluid saturation along the tested samples with high resolutions and under reservoir conditions. However, spatially resolved rock strength/mechanical property alteration coupled to fluid migration/substitution remains poorly characterized. To this end, Fiber Bragg Grating (FBG) multiplex sensors were integrated with NMR core flooding system to monitor rock strength changes, or generally speaking, to observe hydro-mechanical-chemical coupling mechanisms during core flooding tests. In this study, we present a novel approach on how to conduct core flooding experiments, while simultaneously …
Solar-Light-Responsive Nanomaterials For The Photoelectrocatalytic Degradation Of Stubborn Pollutants, Benjamin O. Orimolade, Azeez O. Idris, Seyi Philemon Akanji, Folahan A. Adekola, Shohreh Azizi, Malik Maaza, Bhekie Mamba
Solar-Light-Responsive Nanomaterials For The Photoelectrocatalytic Degradation Of Stubborn Pollutants, Benjamin O. Orimolade, Azeez O. Idris, Seyi Philemon Akanji, Folahan A. Adekola, Shohreh Azizi, Malik Maaza, Bhekie Mamba
Research outputs 2022 to 2026
Due to the ever increasing demand for cleaner water, a remarkable focus has been on the use of nanomaterials in wastewater treatment application. Photoelectrocatalytic (PEC) degradation, an advanced oxidation process which combines light and electrical energy, has been identified as a suitable technique capable of achieving total mineralisation of recalcitrant organic pollutants in wastewater. PEC degradation is non-selective, environmentally friendly and possesses great efficiency. The efficiency of PEC degradation has been enhanced by fabricating the photoanodes on a nanoscale with distinct morphologies. These nanostructured photoanodes have been extensively used for the removal of pharmaceuticals, dyes and phenolic water from wastewater. …
Nafion Modified Titanium Nitride Ph Sensor For Future Biomedical Applications, Shimrith Paul Shylendra, Magdalena Wajrak, Kamal Alameh, James Jin Kang
Nafion Modified Titanium Nitride Ph Sensor For Future Biomedical Applications, Shimrith Paul Shylendra, Magdalena Wajrak, Kamal Alameh, James Jin Kang
Research outputs 2022 to 2026
pH sensors are increasingly being utilized in the biomedical field and have been implicated in health applications that aim to improve the monitoring and treatment of patients. In this work, a previously developed Titanium Nitride (TiN) solid-state pH sensor is further enhanced, with the potential to be used for pH regulation inside the human body and for other biomedical, industrial, and environmental applications. One of the main limitations of existing solid-state pH sensors is their reduced performance in high redox mediums. The potential shift E0 value of the previously developed TiN pH electrode in the presence of oxidizing or …
Metal-Organic Framework-Based Biosensing Platforms For The Sensitive Determination Of Trace Elements And Heavy Metals: A Comprehensive Review, Hessamaddin Sohrabi, Shahin Ghasemzadeh, Sama Shakib, Mir Reza Majidi, Amir Razmjou, Yeojoon Yoon, Alireza Khataee
Metal-Organic Framework-Based Biosensing Platforms For The Sensitive Determination Of Trace Elements And Heavy Metals: A Comprehensive Review, Hessamaddin Sohrabi, Shahin Ghasemzadeh, Sama Shakib, Mir Reza Majidi, Amir Razmjou, Yeojoon Yoon, Alireza Khataee
Research outputs 2022 to 2026
Heavy metals in food and water sources are potentially harmful to humans. Determination of these pollutants is critical for improving safety. Effective recognition systems are a contemporary challenge; several novel technologies for the quick, easy, selective, and sensitive determination of these compounds are in demand. Metal-organic framework (MOF)-based sensors and biosensors have crucial applications in identifying these potentially harmful substances. Here, we review electrochemical and optical biosensors for in situ sensing that are sensitive and cost effective, with a simple protocol and wide linear range. Despite the abundance of articles in this field, we assessed and checked out various basic …
Multivariate Cross-Validation And Measures Of Accuracy And Precision, Ute Mueller, Sangga Rima Roman Selia, Raimon Tolosana-Delgado
Multivariate Cross-Validation And Measures Of Accuracy And Precision, Ute Mueller, Sangga Rima Roman Selia, Raimon Tolosana-Delgado
Research outputs 2022 to 2026
Cross-validation and performance measures are standard components in the evaluation of a geostatistical model. These are well established in the univariate case, but measures for multivariate geostatistical modeling have not received as much attention. In the case of a single target variable, the univariate approaches remain valid, but in the fully multivariate case where a vector of variables needs to be estimated, the evaluation needs to be based on all estimates simultaneously. An extension of cross-validation and associated performance measures to the fully multivariate case is presented and discussed for the case of regionalized compositions. The method is demonstrated by …
Long Future Frame Prediction Using Optical Flow Informed Deep Neural Networks For Enhancement Of Robotic Teleoperation In High Latency Environments, Md Moniruzzaman, Alexander Rassau, Douglas Chai, Syed M. S. Islam
Long Future Frame Prediction Using Optical Flow Informed Deep Neural Networks For Enhancement Of Robotic Teleoperation In High Latency Environments, Md Moniruzzaman, Alexander Rassau, Douglas Chai, Syed M. S. Islam
Research outputs 2022 to 2026
High latency in teleoperation has a significant negative impact on operator performance. While deep learning has revolutionized many domains recently, it has not previously been applied to teleoperation enhancement. We propose a novel approach to predict video frames deep into the future using neural networks informed by synthetically generated optical flow information. This can be employed in teleoperated robotic systems that rely on video feeds for operator situational awareness. We have used the image-to-image translation technique as a basis for the prediction of future frames. The Pix2Pix conditional generative adversarial network (cGAN) has been selected as a base network. Optical …
Partially Oxidative Torrefaction Of Woody Biomass Pellets: Burning Behaviour And Emission Analysis, Sajid Riaz, Yasir M. Al-Abdeli, Ibukun Oluwoye
Partially Oxidative Torrefaction Of Woody Biomass Pellets: Burning Behaviour And Emission Analysis, Sajid Riaz, Yasir M. Al-Abdeli, Ibukun Oluwoye
Research outputs 2022 to 2026
Non-conventional torrefaction under partially oxidative conditions is an emerging cost-effective thermochemical pre-treatment method to improve the quality of biomass for energy applications. The literature lacks data on the combustion of biomass torrefied under oxygen-deficient atmosphere with actual reactor conditions (inevitable non-uniformities in the thermal environment). In this work, a dual mode fixed-bed biomass (torrefaction) reactor and combustor was operated on Australian biomass pellets, to torrefy the fuels at 275 °C for 30 min using partially oxidative atmosphere (O2: 5 vol %, balance N2) and then to combust them. Combustion behaviour with a particular focus on gaseous …
Effect Of 3d Printing Parameters On The Fatigue Properties Of Parts Manufactured By Fused Filament Fabrication: A Review, Hamed Bakhtiari, Muhammad Aamir, Majid Tolouei-Rad
Effect Of 3d Printing Parameters On The Fatigue Properties Of Parts Manufactured By Fused Filament Fabrication: A Review, Hamed Bakhtiari, Muhammad Aamir, Majid Tolouei-Rad
Research outputs 2022 to 2026
The advancement in 3D printing techniques has raised the hope to use additively manufactured parts as final products in various industries. However, due to the layer-by-layer nature of AM parts, they are highly susceptible to failure when they are subjected to fatigue loading. This review provides a detailed account of the influence of 3D printing parameters on the fatigue properties of parts manufactured by fused filament fabrication (FFF). Existing standards for fatigue testing of polymers and their limitation for 3D-printed parts are discussed. In addition, the cyclic behaviour of polymers is reviewed, and the impact of 3D printing parameters on …
Improved Rate Of Secret Key Generation Using Passive Re-Configurable Intelligent Surfaces For Vehicular Networks, Hina Ayaz, Muhammad Waqas, Ghulam Abbas, Ziaul Haq Abbas, Muhammad Bilal, Kyung-Sup Kwak
Improved Rate Of Secret Key Generation Using Passive Re-Configurable Intelligent Surfaces For Vehicular Networks, Hina Ayaz, Muhammad Waqas, Ghulam Abbas, Ziaul Haq Abbas, Muhammad Bilal, Kyung-Sup Kwak
Research outputs 2022 to 2026
The reconfigurable intelligent surfaces (RIS) is a new technology that can be utilized to provide security to vehicle-to-vehicle (V2V) communications at the physical layer. In this paper, we achieve a higher key generation rate for V2V communications at lower cost and computational complexity. We investigate the use of a passive RIS as a relay, to introduce channel diversity and increase the key generation rate (KGR), accordingly. In this regard, we consider the subsets of consecutive reflecting elements instead of the RIS as a whole in a time slot, i.e., instead of a single reflector, the subsets of reflectors are utilized …
Shale Wettability Characteristics Via Air/Brines And Air/Oil Contact Angles And Influence Of Controlling Factors: A Case Study Of Lower Indus Basin, Pakistan, Darya Khan Bhutto, Abdul Majeed Shar, Ghazanfer Raza Abbasi, Ubedullah Ansari
Shale Wettability Characteristics Via Air/Brines And Air/Oil Contact Angles And Influence Of Controlling Factors: A Case Study Of Lower Indus Basin, Pakistan, Darya Khan Bhutto, Abdul Majeed Shar, Ghazanfer Raza Abbasi, Ubedullah Ansari
Research outputs 2022 to 2026
Wettability is the fundamental parameter that influences the productivity of hydrocarbon reservoirs. The knowledge of this regarding shale formation is yet inadequate; thus, detailed analysis is essential for successful development of such reservoirs. The Early Cretaceous Sembar formations in the Lower Indus Basin, Pakistan, is considered as the key target for energy exploration; however, it exhibits large uncertainties due to the lack of data availability. Sembar shales hold significant hydrocarbon volumes rich in organic content; however, prior to this, no comprehensive research has been conducted to quantify the wetting behavior of these shales. Thus, precise information about the wetting behavior …
Using Magnesium Oxide Nanoparticles In A Magnetic Field To Enhance Oil Production From Oil-Wet Carbonate Reservoirs, F. Amrouche, M. J. Blunt, Stefan Iglauer, M. Short, T. Crosbie, E. Cordero, D. Xu
Using Magnesium Oxide Nanoparticles In A Magnetic Field To Enhance Oil Production From Oil-Wet Carbonate Reservoirs, F. Amrouche, M. J. Blunt, Stefan Iglauer, M. Short, T. Crosbie, E. Cordero, D. Xu
Research outputs 2022 to 2026
Enhanced oil production can maximise yield from depleted reservoirs, and in the face of dwindling global oil reserves can reduce the need for exploratory drilling during the transition away from fossil fuels. A hybrid technique, merging a magnetic field (MF) and magnesium oxide (MgO) nanoparticles (NPs), was investigated as a potential method of enhancing oil production from oil-wet carbonate reservoirs. The impact of this hybrid technique on rock wettability, zeta potential, and interfacial tension was also investigated. Displacement experiments were carried out on oil-wet Austin chalk – a laboratory carbonate rock analogue – using MgO NPs in deionized water (DW) …
Magnetized Inulin By Fe3o4 As A Bio-Nano Adsorbent For Treating Water Contaminated With Methyl Orange And Crystal Violet Dyes, Kamran Valizadeh, Amir Bateni, Nazanin Sojoodi, Maryam Rostami Ataabadi, Amir Hossein Behroozi, Ali Maleki, Zhenjiang You
Magnetized Inulin By Fe3o4 As A Bio-Nano Adsorbent For Treating Water Contaminated With Methyl Orange And Crystal Violet Dyes, Kamran Valizadeh, Amir Bateni, Nazanin Sojoodi, Maryam Rostami Ataabadi, Amir Hossein Behroozi, Ali Maleki, Zhenjiang You
Research outputs 2022 to 2026
Current work focuses on fabricating a new bio-nano adsorbent of Fe3O4@inulin nanocomposite via an in-situ co-precipitation procedure to adsorb methyl orange (MO) and crystal violet (CV) dyes from aqueous solutions. Different physical characterization analyses verified the successful fabrication of the magnetic nanocomposite. The adsorbent performance in dye removal was evaluated by varying initial dye concentration, adsorbent dosage, pH and temperature in 5110 mg/L, 0.10.8 g/L, 111 and 283 – 338 K, respectively. Due to the pH of zero point of charge and intrinsic properties of dyes, the optimum pHs were 5 and 7 for MO and …
Establishment And Mapping Of Heterogeneous Anomalies In Network Intrusion Datasets, Liam Riddell, Mohiuddin Ahmed, Paul Haskell-Dowland
Establishment And Mapping Of Heterogeneous Anomalies In Network Intrusion Datasets, Liam Riddell, Mohiuddin Ahmed, Paul Haskell-Dowland
Research outputs 2022 to 2026
Anomaly detection in the scope of network security aims to identify network instances for the unexpected and unique, with various security operations employing such techniques to facilitate effective threat detection. However, many systems have been designed based on the absolute mapping of attacks to one of three anomaly types (i.e. point, collective, or contextual), a strategy not supported by the recent findings of hybrid anomaly classifications. Given the growing usage of network anomaly detection and the implications of hybrid anomalies, we propose several heterogeneous anomaly types and provide an unsupervised approach for the automated mapping of network threats. Initial findings …
Live Imaging Of Micro And Macro Wettability Variations Of Carbonate Oil Reservoirs For Enhanced Oil Recovery And Co/ Trapping/Storage, Anastasia Ivanova, A. Orekhov, S. Markovic, Stefan Iglauer, P. Grishin, A. Cheremisin
Live Imaging Of Micro And Macro Wettability Variations Of Carbonate Oil Reservoirs For Enhanced Oil Recovery And Co/ Trapping/Storage, Anastasia Ivanova, A. Orekhov, S. Markovic, Stefan Iglauer, P. Grishin, A. Cheremisin
Research outputs 2022 to 2026
Carbonate hydrocarbon reservoirs are considered as potential candidates for chemically enhanced oil recovery and for CO² geological storage. However, investigation of one main controlling parameter—wettability—is usually performed by conventional integral methods at the core-scale. Moreover, literature reports show that wettability distribution may vary at the micro-scale due to the chemical heterogeneity of the reservoir and residing fluids. These differences may profoundly affect the derivation of other reservoir parameters such as relative permeability and capillary pressure, thus rendering subsequent simulations inaccurate. Here we developed an innovative approach by comparing the wettability distribution on carbonates at micro and macro-scale by combining live-imaging …
Chemical-Free Biologically Enhanced Primary Treatment Of Raw Wastewater For Improved Capture Carbon, Muhammad Rizwan Azhar, Paul Nolan, Keith Cadee, Mehdi Khiadani
Chemical-Free Biologically Enhanced Primary Treatment Of Raw Wastewater For Improved Capture Carbon, Muhammad Rizwan Azhar, Paul Nolan, Keith Cadee, Mehdi Khiadani
Research outputs 2022 to 2026
Conventional wastewater treatment processes require extensive energy inputs for their operations. Biologically enhanced primary treatment (BEPT) is a promising technology to capture incoming organics that may be utilized to produce biogas and potentially hydrogen with further downstream processing. This study involved a biologically enhanced primary treatment (BEPT) of raw wastewater at bench and pilot-scale using activated sludge (AS) addition and dissolved air flotation (DAF) using raw wastewater at a municipal wastewater facility in Western Australia with average chemical oxygen demand of ~ 800 mg/L. The results of pilot-scale testing showed an improved removal performance for total chemical oxygen demand (COD-T), …
Materials Discovery Of Ion-Selective Membranes Using Artificial Intelligence, Reza Maleki, Seyed Mohammadreza Shams, Yasin Mehdizadeh Chellehbari, Sima Rezvantalab, Ahmad Miri Jahromi, Mohsen Asadnia, Rouzbeh Abbassi, Tejraj Aminabhavi, Amir Razmjou
Materials Discovery Of Ion-Selective Membranes Using Artificial Intelligence, Reza Maleki, Seyed Mohammadreza Shams, Yasin Mehdizadeh Chellehbari, Sima Rezvantalab, Ahmad Miri Jahromi, Mohsen Asadnia, Rouzbeh Abbassi, Tejraj Aminabhavi, Amir Razmjou
Research outputs 2022 to 2026
Significant attempts have been made to improve the production of ion-selective membranes (ISMs) with higher efficiency and lower prices, while the traditional methods have drawbacks of limitations, high cost of experiments, and time-consuming computations. One of the best approaches to remove the experimental limitations is artificial intelligence (AI). This review discusses the role of AI in materials discovery and ISMs engineering. The AI can minimize the need for experimental tests by data analysis to accelerate computational methods based on models using the results of ISMs simulations. The coupling with computational chemistry makes it possible for the AI to consider atomic …
Deicer Salt-Scaling Resistance Of Concrete Using Recycled Concrete Aggregates Pretreated By Silica Fume Slurry, Hossein Sasanipour, Farhad Aslani, Javad Taherinezhad
Deicer Salt-Scaling Resistance Of Concrete Using Recycled Concrete Aggregates Pretreated By Silica Fume Slurry, Hossein Sasanipour, Farhad Aslani, Javad Taherinezhad
Research outputs 2022 to 2026
Highlights: - Salt-scaling resistance in the presence of recycled concrete aggregates, - A strong bond between RCAs and new mortar was obtained after a freeze-thaw test, - Pulse velocity after exposure to freezing-thawing cycles negligibly decreased, - The scaling rate increased with the increase in the water–cement ratio, - The electrical resistivity of concrete after exposure to cycles has been investigated. Concrete wastes such as recycled concrete aggregates (RCA) make up a significant part of construction and demolition waste (C&DW) which can be used to minimize usage of natural aggregates and reduce carbon footprint. This paper studies the salt-scaling resistance …
Effect Of Raster Angle And Infill Pattern On The In-Plane And Edgewise Flexural Properties Of Fused Filament Fabricated Acrylonitrile–Butadiene–Styrene, Hamza Qayyum, Ghulam Hussain, Muhammad Sulaiman, Malik Hassan, Aaqib Ali, Riaz Muhammad, Hongyu Wei, Tauheed Shehbaz, Muhammad Aamir, Khurram Altaf
Effect Of Raster Angle And Infill Pattern On The In-Plane And Edgewise Flexural Properties Of Fused Filament Fabricated Acrylonitrile–Butadiene–Styrene, Hamza Qayyum, Ghulam Hussain, Muhammad Sulaiman, Malik Hassan, Aaqib Ali, Riaz Muhammad, Hongyu Wei, Tauheed Shehbaz, Muhammad Aamir, Khurram Altaf
Research outputs 2022 to 2026
Fused Filament Fabrication (FFF) is a popular additive manufacturing process to produce printed polymer components, whereby their strength is highly dependent on the process parameters. The raster angle and infill pattern are two key process parameters and their effects on flexural properties need further research. Therefore, the present study aimed to print test specimens with varying raster angles and infill patterns to learn their influence on the in-plane and edgewise flexural properties of acrylonitrile–butadiene–styrene (ABS) material. The results revealed that the highest in-plane and edgewise flexural moduli were obtained when printing was performed at 0 ° raster angle. In comparison, …
Improving Tc Drill Bit's Efficiency And Resistance To Wear By Graphene Coating, Reza Taheri, Mohsen Jalali, Ahmed Al-Yaseri, George Yabesh
Improving Tc Drill Bit's Efficiency And Resistance To Wear By Graphene Coating, Reza Taheri, Mohsen Jalali, Ahmed Al-Yaseri, George Yabesh
Research outputs 2022 to 2026
Displaying a two-dimensional pure crystal carbon structure, Graphene is the strongest, yet thinnest substance discovered by scientists. Coating tungsten carbide (TC) drill bits with graphene to evaluate the effect of graphene on the wear, as well as the rate of penetration of the drilling bit was examined in this research. Two evaluation approaches were employed: one with employing ANSYS Software and the second by employing atomic pressure chemical vapor deposition (APCVD synthesis) in the laboratory to produce a monolayer graphene coating. The simultaneous software-based and lab-based testing were performed to increase the credibility of the results and minimize the potential …
The Hole Sealing Technology Of Solid-Liquid Materials With Three Pluggings And Two Injections For Gas Extraction Hole In The Coal Mine, Shiyao Yu, Xianbo Su, Jinxing Song, Qian Wang, Zhenjiang You
The Hole Sealing Technology Of Solid-Liquid Materials With Three Pluggings And Two Injections For Gas Extraction Hole In The Coal Mine, Shiyao Yu, Xianbo Su, Jinxing Song, Qian Wang, Zhenjiang You
Research outputs 2022 to 2026
The sealing quality of the gas extraction holes determines the extracted gas concentration. Based on this, the paper reveals the basic principle of hole sealing by analyzing the gas leakage mechanism of the borehole. The hole sealing technology of solid-liquid materials with three pluggings and two injections for the gas extraction hole is proposed, and the hole sealing device and material are developed. Through testing the granularity distribution of the solid material, as well as the surface tension and contact angle of the slurry, the hole sealing material that can meet the requirements of accessible, sticky, and anti-deformation is selected. …
Passive Cooling Analysis Of An Electronic Chipset Using Nanoparticles And Metal-Foam Composite Pcm: An Experimental Study, Faisal Hassan, Abid Hussain, Furqan Jamil, Adeel Arshad, Hafiz Muhammad Ali
Passive Cooling Analysis Of An Electronic Chipset Using Nanoparticles And Metal-Foam Composite Pcm: An Experimental Study, Faisal Hassan, Abid Hussain, Furqan Jamil, Adeel Arshad, Hafiz Muhammad Ali
Research outputs 2022 to 2026
Thermal management of electronic components is critical for long-term reliability and continuous operation, as the over-heating of electronic equipment leads to decrement in performance. The novelty of the current experimental study is to investigate the passive cooling of electronic equipment, by using nano-enriched phase change material (NEPCM) with copper foam having porosity of 97 %. The phase change material of PT-58 was used with graphene nanoplatelets (GNPs) and magnesium oxide (MgO) nanoparticles (NPs), having concentrations of 0.01 wt. % and 0.02 wt. %. Three power levels of 8 W, 16 W, and 24 W, with corresponding heating inputs of 0.77 …
Fractal Pore And Its Impact On Gas Adsorption Capacity Of Outburst Coal: Geological Significance To Coalbed Gas Occurrence And Outburst, Guangjun Feng, Xinzhuo Zhao, Meng Wang, Yu Song, Sijian Zheng, Ye He, Zhenjiang You
Fractal Pore And Its Impact On Gas Adsorption Capacity Of Outburst Coal: Geological Significance To Coalbed Gas Occurrence And Outburst, Guangjun Feng, Xinzhuo Zhao, Meng Wang, Yu Song, Sijian Zheng, Ye He, Zhenjiang You
Research outputs 2022 to 2026
Pore structure and methane adsorption of coal reservoir are closely correlated to the coalbed gas occurrence and outburst. Full-scale pore structure and its fractal heterogeneity of coal samples were quantitatively characterized using low-pressure N2 gas adsorption (LP-N2GA) and high-pressure mercury intrusion porosimetry (HP-MIP). Fractal pore structure and adsorption capacities between outburst and nonoutburst coals were compared, and their geological significance to gas occurrence and outburst was discussed. The results show that pore volume (PV) is mainly contributed by macropores ( > 1000 nm) and mesopores (100-1000 nm), while specific surface area (SSA) is dominated by micropores ( < 10 nm) and transition pores (10 - 100 nm). On average, the PV and SSA of outburst coal samples are 4.56 times and 5.77 times those of nonoutburst coal samples, respectively, which provide sufficient place for gas adsorption and storage. The pore shape is dominated by semiclosed pores in the nonoutburst coal, whereas open pores and inkbottle pores are prevailing in the outburst coal. The pore size is widely distributed in the outburst coal, in which not only micropores are dominant, but also, transition pores and mesopores are developed to a certain extent. Based on the data from HP-MIP and LP-N2GA, …