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Articles 1 - 30 of 93
Full-Text Articles in Engineering
Electroshock Treatment Dependent Microstructural Evolution And Mechanical Properties Of Near-Β Titanium Alloy Manufactured By Directed Energy Deposition, Haojie Guo, Pu Liu, Xunpeng Qin, Yanli Song, Dongsheng Qian, Lechun Xie, Liqiang Wang, Lai-Chang Zhang, Lin Hua
Electroshock Treatment Dependent Microstructural Evolution And Mechanical Properties Of Near-Β Titanium Alloy Manufactured By Directed Energy Deposition, Haojie Guo, Pu Liu, Xunpeng Qin, Yanli Song, Dongsheng Qian, Lechun Xie, Liqiang Wang, Lai-Chang Zhang, Lin Hua
Research outputs 2014 to 2021
Effects of electroshock treatment (EST) on the microstructural evolution and mechanical properties of near-β titanium alloy (Ti-55531) formed by directed energy deposition (DED) was studied in this work. With the increase in EST time, the average hardness of specimen decreased from 426 HV to 316 HV, and the fracture strain increased significantly, which was attributed to the uniform dispersion of α phase along grain boundaries and inside the β grains. After EST, the texture intensity decreased in terms of the orientation distribution function (ODF), which was ascribed to the redistribution of α phase. Moreover, more atomic vacancies and lattice distortion …
Revised Semiempirical Approach To Predict The Occurrence Of Twinning In Titanium Alloys, Chirag Dhirajlal Rabadia, Syed Faraz Jawed, Jincheng Wang, Milind Siddhpura, Arti Siddhpura
Revised Semiempirical Approach To Predict The Occurrence Of Twinning In Titanium Alloys, Chirag Dhirajlal Rabadia, Syed Faraz Jawed, Jincheng Wang, Milind Siddhpura, Arti Siddhpura
Research outputs 2014 to 2021
A revised semiempirical approach, considering the average values of the valence electron to atom ratio (e/a̅) and a difference in atomic radii of alloying element/s and the base element (Δr¯), is proposed to predict the twin formation in titanium alloys. The revised e/ā versus Δr¯ diagram is plotted, considering the reported results of 90 titanium alloys fabricated using various processing methods. A new twin/slip boundary has been plotted and recommended based on the revised e/ā versus Δr¯ diagram. The conventional maximum limit reported for the twinning in titanium alloys is e/ā = 4.20; however, it has been found that twinning …
Α-Fe2o3/Graphene Oxide Powder And Thin Film Nanocomposites As Peculiar Photocatalysts For Dye Removal From Wastewater, Mahsa Khoshnam, Javad Farahbakhsh, Masoumeh Zargar, Abdul Wahab Mohammad, Abdelbaki Benamor, Wei Lun Ang, Ebrahim Mahmoudi
Α-Fe2o3/Graphene Oxide Powder And Thin Film Nanocomposites As Peculiar Photocatalysts For Dye Removal From Wastewater, Mahsa Khoshnam, Javad Farahbakhsh, Masoumeh Zargar, Abdul Wahab Mohammad, Abdelbaki Benamor, Wei Lun Ang, Ebrahim Mahmoudi
Research outputs 2014 to 2021
In this study, hematite graphene oxide (αFe2O3-GO) powder nanocomposites and thin-film hematite graphene oxide (αFe2O3-GO) were synthesized for application in the removal of Rhodamine B (RhB) from textile wastewater. αFe2O3-GO nanomaterials were placed onto the FTO substrate to form a thin layer of nanocomposites. Different analysis including XRD, FTIR, Raman spectra, XPS, and FESEM were done to analyze the morphology, structure, and properties of the synthesized composites as well as the chemical interactions of αFe2O3 with GO. The photocatalytic performance of two synthesized composites was compared with different concentrations of αFe2O3-GO. The results showed that powder nanocomposites are more effective …
Hydrogen Underground Storage Efficiency In A Heterogeneous Sandstone Reservoir, Doaa Saleh Mahdi, Emad A. Al-Khdheeawi, Yujie Yuan, Yihuai Zhang, Stefan Iglauer
Hydrogen Underground Storage Efficiency In A Heterogeneous Sandstone Reservoir, Doaa Saleh Mahdi, Emad A. Al-Khdheeawi, Yujie Yuan, Yihuai Zhang, Stefan Iglauer
Research outputs 2014 to 2021
Underground hydrogen storage has been recognized as a key technology for storing enormous amounts of hydrogen, thus aiding in the industrial-scale application of a hydrogen economy. However, underground hydrogen storage is only poorly understood, which leads to high project risk. This research thus examined the effect of caprock availability and hydrogen injection rate on hydrogen recovery factor and hydrogen leakage rate to address some fundamental questions related to underground hydrogen storage. A three dimensional heterogeneous reservoir model was developed, and the impact of caprock and hydrogen injected rate on hydrogen underground storage efficiency were analysed with the model. The results …
Microplastics Fouling And Interaction With Polymeric Membranes: A Review, Mitra Golgoli, Mehdi H. Khiadani, Abdellah Shafieian, Tushar K. Sen, Y. Hartanto, M. L. Johns, Masoumeh Zargar
Microplastics Fouling And Interaction With Polymeric Membranes: A Review, Mitra Golgoli, Mehdi H. Khiadani, Abdellah Shafieian, Tushar K. Sen, Y. Hartanto, M. L. Johns, Masoumeh Zargar
Research outputs 2014 to 2021
The emergence and accumulation of microplastics (MPs) in various aquatic environments have recently raised significant concerns. Wastewater treatment plants (WWTPs) have been identified as one of the major sources of MPs discharge to the environment, implying a substantial need to improve advanced techniques for more efficient removal of MPs. Polymeric membranes have been proven effective in MPs removal. However, fouling is the main drawback of membrane processes and MPs can foul the membranes due to their small size and specific surface properties. Hence, it is important to investigate the impacts of MPs on membrane fouling to develop efficient membrane-based techniques …
Micro-Proppant Placement In Hydraulic And Natural Fracture Stimulation In Unconventional Reservoirs: A Review, Masoud Aslannezhad, Azim Kalantariasl, Zhenjiang You, Stefan Iglauer, Alireza Keshavarz
Micro-Proppant Placement In Hydraulic And Natural Fracture Stimulation In Unconventional Reservoirs: A Review, Masoud Aslannezhad, Azim Kalantariasl, Zhenjiang You, Stefan Iglauer, Alireza Keshavarz
Research outputs 2014 to 2021
Tight hydrocarbon reservoirs require stimulation to improve the recovery of oil and gas resources. Hydraulic fracturing is a technique extensively employed in the oil and gas industry to generate fractures including primary and secondary fractures. To keep these fractures open, proppants are used. However, some of these ractures are very narrow for conventional proppants to penetrate and prop, hence smaller proppants called micro-proppants are required. These micro-proppants can improve the hydraulic conductivity of both, the primary fractures and the untouched microfractures, leading to enhanced oil and gas recovery. This paper presents a critical review on the progress of current micro-proppants …
Influence Of Pressure, Temperature And Organic Surface Concentration On Hydrogen Wettability Of Caprock, Implications For Hydrogen Geo-Storage, Muhammad Ali, Nurudeen Yekeen, Nilanjan Pal, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit
Influence Of Pressure, Temperature And Organic Surface Concentration On Hydrogen Wettability Of Caprock, Implications For Hydrogen Geo-Storage, Muhammad Ali, Nurudeen Yekeen, Nilanjan Pal, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit
Research outputs 2014 to 2021
Hydrogen (H2) as a cleaner fuel has been suggested as a viable method of achieving the de-carbonization objectives and meeting increasing global energy demand. However, successful implementation of a full-scale hydrogen economy requires large-scale hydrogen storage (as hydrogen is highly compressible). A potential solution to this challenge is injecting hydrogen into geologic formations from where it can be withdrawn again at later stages for utilization purposes. The geo-storage capacity of a porous formation is a function of its wetting characteristics, which strongly influence residual saturations, fluid flow, rate of injection, rate of withdrawal, and containment security. However, literature …
Quantifying Techno-Economic Indicators' Impact On Isolated Renewable Energy Systems, Muhammad Shahzad Javed, Tao Ma, Navid Mousavi, Salman Ahmed, Henrik Lund, Hongxing Yang, Yanjun Dai
Quantifying Techno-Economic Indicators' Impact On Isolated Renewable Energy Systems, Muhammad Shahzad Javed, Tao Ma, Navid Mousavi, Salman Ahmed, Henrik Lund, Hongxing Yang, Yanjun Dai
Research outputs 2014 to 2021
Addressing climate change with the rising global energy usage necessitates electricity sector decarbonization by rapidly moving toward flexible and efficient off-grid renewable energy systems (RESs). This paper analyzes the wind and solar micro-grids, with batteries and pumped hydro storage for a robust off-grid RES techno-economic operation, while considering diverse multi-objective optimization cases. This research has considered the RES variable operational losses in the developed methodology and relations between different indicators are evaluated, revealing a basic understanding between them. The results reveal that the reliability index is inversely related to the oversupply index, while directly related to the system self-sufficiency index. …
Wastewater Remediation Technologies Using Macroscopic Graphene-Based Materials: A Perspective, Rajan Arjan Kalyan Hirani, Abdul Hannan Asif, Nasir Rafique, Lei Shi, Shu Zhang, Hong Wu, Hongqi Sun
Wastewater Remediation Technologies Using Macroscopic Graphene-Based Materials: A Perspective, Rajan Arjan Kalyan Hirani, Abdul Hannan Asif, Nasir Rafique, Lei Shi, Shu Zhang, Hong Wu, Hongqi Sun
Research outputs 2014 to 2021
Three-dimensional (3D) graphene-based macrostructures are being developed to combat the issues associated with two-dimensional (2D) graphene materials in practical applications. The 3D macrostructures (3DMs), for example, membranes, fibres, sponges, beads, and mats, can be formed by the self-assembly of 2D graphene-based precursors with exceptional surface area and unique chemistry. With rational design, the 3D macrostructures can then possess outstanding properties and exclusive structures. Thanks to various advantages, these macrostructures are competing in a variety of applications with promising performances unlike the traditional activated carbons, biochars and hydrochars, which have less flexibilities for modifications towards versatile applications. However, despite having such …
Co2-Wettability Reversal Of Cap-Rock By Alumina Nanofluid: Implications For Co2 Geo-Storage, Muhammad Ali, Adnan Aftab, Faisal Ur Rahman Awan, Hamed Akhondzadeh, Alireza Keshavarz, Ali Saeedi, Stefan Iglauer, Mohammad Sarmadivaleh
Co2-Wettability Reversal Of Cap-Rock By Alumina Nanofluid: Implications For Co2 Geo-Storage, Muhammad Ali, Adnan Aftab, Faisal Ur Rahman Awan, Hamed Akhondzadeh, Alireza Keshavarz, Ali Saeedi, Stefan Iglauer, Mohammad Sarmadivaleh
Research outputs 2014 to 2021
© 2021 Elsevier B.V. The usage of nanofluids is vast in different applications of nano-energy. These minute nanoparticles can be used to alter the hydrophobicity into hydrophilicity for CO2-brine-mineral systems in the presence of organic acids. Nonetheless, the literature lacks the information for the behavior of nanoparticles and its associated concentrations in the presence of organic acids at the reservoir (high temperature and high pressure) conditions. In this study, we have investigated that how different alkyl chain organic acids impact the wettability of mica muscovite for different ageing times (7 days and one year) and how this impact can be …
Effect Of Humic Acid On Co2-Wettability In Sandstone Formation, Mujahid Ali, Faisal Ur Rahman Awan, Muhammad Ali, Ahmed Al-Yaseri, Muhammad Arif, Mónica Sánchez-Román, Alireza Keshavarz, Stefan Iglauer
Effect Of Humic Acid On Co2-Wettability In Sandstone Formation, Mujahid Ali, Faisal Ur Rahman Awan, Muhammad Ali, Ahmed Al-Yaseri, Muhammad Arif, Mónica Sánchez-Román, Alireza Keshavarz, Stefan Iglauer
Research outputs 2014 to 2021
© 2020 Elsevier Inc. Hypothesis: Millions of tons of CO2 are stored in CO2 geological storage (CGS) formations (depleted oil reservoirs and deep saline aquifers) every year. These CGS formations naturally contain small concentrations of water-soluble organic components in particular humic acid (HA), which may drastically affect the rock wettability - a significant factor determining storage capacities and containment security. Hence, it is essential to characterise the effect of humic acid concentration on CO2-wettability and its associated impact on storage capacity. Experimental: To achieve this, we measured advancing and receding contact angles at reservoir conditions using the pendant drop tilted …
Tailored Ionic Liquid For Metal-Free Carbons Toward Oxygen Reduction Reaction, Jian Gao, Xiujuan Chu, Xiaoyao Tan, Hongqi Sun, Zhen Yin, Shaobin Wang
Tailored Ionic Liquid For Metal-Free Carbons Toward Oxygen Reduction Reaction, Jian Gao, Xiujuan Chu, Xiaoyao Tan, Hongqi Sun, Zhen Yin, Shaobin Wang
Research outputs 2014 to 2021
Carbon catalysts have been widely used for various electrochemical reactions including oxygen reduction reaction (ORR) and their catalytic activities are significantly dependent on carbon precursors. Ionic liquids (ILs) are promising precursors of heteroatom-doped carbon electrocatalysts for ORR. Herein, we demonstrated that an IL tailored with π-π conjugated interaction introduced by a π-electron enriched aromatic ring can offer a carbon material with improved ORR activity.
On The Toe Stability Of Rubble Mound Structures, Amir Etemad-Shahidi, Meysam Bali, Marcel R. A. Van Gent
On The Toe Stability Of Rubble Mound Structures, Amir Etemad-Shahidi, Meysam Bali, Marcel R. A. Van Gent
Research outputs 2014 to 2021
Toe design is an important task for coastal engineers as it ensures the stability of the main armor layer and prevents scour in front of the armor slope. Several laboratory experiments have been conducted to investigate the toe stability using different testing approaches, i.e. damage due to a single test condition and cumulative damage due to a number of conditions. In addition, the methods of measuring and reporting damage to the toe are not the same as some researchers have counted only stones that were washed away from the toe; while others counted all the stones that have been displaced. …
Graph Automorphic Approaches To The Robustness Of Complex Networks, Hossein Parastvand, Airlie Chapman, Octavian Bass, Stefan Lachowicz
Graph Automorphic Approaches To The Robustness Of Complex Networks, Hossein Parastvand, Airlie Chapman, Octavian Bass, Stefan Lachowicz
Research outputs 2014 to 2021
© 2020 Elsevier Ltd Leveraging on graph automorphic properties of complex networks (CNs), this study investigates three robustness aspects of CNs including the robustness of controllability, disturbance decoupling, and fault tolerance against failure in a network element. All these aspects are investigated using a quantified notion of graph symmetry, namely the automorphism group, which has been found implications for the network controllability during the last few years. The typical size of automorphism group is very big. The study raises a computational issue related to determining the whole set of automorphism group and proposes an alternative approach which can attain the …
Application Of Short-Time Stochastic Subspace Identification To Estimate Bridge Frequencies From A Traversing Vehicle, Nan Jin, Y. B. Yang, Elias G. Dimitrakopoulos, Themelina S. Paraskeva, Lambros S. Katafygiotis
Application Of Short-Time Stochastic Subspace Identification To Estimate Bridge Frequencies From A Traversing Vehicle, Nan Jin, Y. B. Yang, Elias G. Dimitrakopoulos, Themelina S. Paraskeva, Lambros S. Katafygiotis
Research outputs 2014 to 2021
© 2020 Elsevier Ltd This study establishes a short-time stochastic subspace identification (ST-SSI) framework to estimate bridge frequencies by processing the dynamic response of a traversing vehicle. The formulation uses a dimensionless description of the response that simplifies the vehicle-bridge interaction (VBI) problem and brings forward the minimum number of parameters required for the identification. With the aid of the dimensionless parameters the analysis manages to successfully apply ST-SSI despite the time-varying nature of the VBI system. Further, the proposed approach eliminates the adverse effect of the road surface roughness using a transformed residual vehicle response obtained from two traverses …
Breaking-Down And Parameterising Wave Energy Converter Costs Using The Capex And Similitude Methods, Ophelie Choupin, Michael Henriksen, Amir Etemad-Shahidi, Rodger Tomlinson
Breaking-Down And Parameterising Wave Energy Converter Costs Using The Capex And Similitude Methods, Ophelie Choupin, Michael Henriksen, Amir Etemad-Shahidi, Rodger Tomlinson
Research outputs 2014 to 2021
Wave energy converters (WECs) can play a significant role in the transition towards a more renewable-based energy mix as stable and unlimited energy resources. Financial analysis of these projects requires WECs cost and WEC capital expenditure (CapEx) information. However, (i) cost information is often limited due to confidentiality and (ii) the wave energy field lacks flexible methods for cost breakdown and parameterisation, whereas they are needed for rapid and optimised WEC configuration and worldwide site pairing. This study takes advantage of the information provided by Wavepiston to compare different costing methods. The work assesses the Froude-Law-similarities-based “Similitude method” for cost-scaling …
Detection And Recognition Of Moving Video Objects: Kalman Filtering With Deep Learning, Hind Rustum Mohammed, Zahir M. Hussain
Detection And Recognition Of Moving Video Objects: Kalman Filtering With Deep Learning, Hind Rustum Mohammed, Zahir M. Hussain
Research outputs 2014 to 2021
© 2021. All rights reserved. Research in object recognition has lately found that Deep Convolutional Neuronal Networks (CNN) provide a breakthrough in detection scores, especially in video applications. This paper presents an approach for object recognition in videos by combining Kalman filter with CNN. Kalman filter is first applied for detection, removing the background and then cropping object. Kalman filtering achieves three important functions: predicting the future location of the object, reducing noise and interference from incorrect detections, and associating multi-objects to tracks. After detection and cropping the moving object, a CNN model will predict the category of object. The …
Deep Learning Versus Spectral Techniques For Frequency Estimation Of Single Tones: Reduced Complexity For Software-Defined Radio And Iot Sensor Communications, Hind R. Almayyali, Zahir M. Hussain
Deep Learning Versus Spectral Techniques For Frequency Estimation Of Single Tones: Reduced Complexity For Software-Defined Radio And Iot Sensor Communications, Hind R. Almayyali, Zahir M. Hussain
Research outputs 2014 to 2021
Despite the increasing role of machine learning in various fields, very few works considered artificial intelligence for frequency estimation (FE). This work presents comprehensive analysis of a deep-learning (DL) approach for frequency estimation of single tones. A DL network with two layers having a few nodes can estimate frequency more accurately than well-known classical techniques can. While filling the gap in the existing literature, the study is comprehensive, analyzing errors under different signal-to-noise ratios (SNRs), numbers of nodes, and numbers of input samples under missing SNR information. DL-based FE is not significantly affected by SNR bias or number of nodes. …
Hydrogen Adsorption On Sub-Bituminous Coal: Implications For Hydrogen Geo-Storage, Sefan Iglauer, Hussein Abid, Ahmed Z. Al-Yaseri, Alireza Keshavarz
Hydrogen Adsorption On Sub-Bituminous Coal: Implications For Hydrogen Geo-Storage, Sefan Iglauer, Hussein Abid, Ahmed Z. Al-Yaseri, Alireza Keshavarz
Research outputs 2014 to 2021
Hydrogen is a clean fuel that can potentially revolutionize the energy supply chain and decarbonize fuel consumption. However, a key hurdle that needs to be overcome before a full-scale hydrogen economy can be established is hydrogen storage which is currently the main limitation. Here, we propose that hydrogen gas can be stored in underground coal seams, where it adsorbs on the coal surface. However, currently, no hard data related to such a procedure exists. We, therefore, demonstrate experimentally that significant amounts of hydrogen gas can be stored via this route. Hydrogen adsorption capacities reached 0.6 moles H2/kg of …
The Effect Of Cryogenic Machining Of S2 Glass Fibre Composite On The Hole Form And Dimensional Tolerances, Ugur Koklu, Sezer Morkavuk, Carol Featherston, Malik Haddad, David Sanders, Muhammad Aamir, Danil Yu Pimenov, Khaled Giasin
The Effect Of Cryogenic Machining Of S2 Glass Fibre Composite On The Hole Form And Dimensional Tolerances, Ugur Koklu, Sezer Morkavuk, Carol Featherston, Malik Haddad, David Sanders, Muhammad Aamir, Danil Yu Pimenov, Khaled Giasin
Research outputs 2014 to 2021
S2 glass fibre reinforced epoxy composites are widely used in aeronautical applications owing to their excellent strength to weight ratio. Drilling glass fibres can be cumbersome due to their abrasive nature and poor thermal conductivity. Moreover, the use of conventional coolants is not desirable due to contamination and additional costs for cleaning the machine part. An alternative is to use environmentally friendly coolants such as liquid nitrogen (LN2) which have been previously employed in machining metals and composites. The current study investigates the effect of drilling S2 glass fibre composite in a bath of LN2. The study aims to evaluate …
Sub-Micron Moulding Topological Mass Transport Regimes In Angled Vortex Fluidic Flow, Thaar M. D. Alharbi, Matt Jellicoe, Xuan Luo, Kasturi Vimalanathan, Ibrahim K. Alsulami, Bediea S. Al Harbi, Aghil Igder, Fayed A. J. Alrashaidi, Xianjue Chen, Keith A. Stubbs, Justin M. Chalker, Wei Zhang, Ramiz A. Boulos, Darryl B. Jones, Jamie S. Quinton, Colin L. Raston
Sub-Micron Moulding Topological Mass Transport Regimes In Angled Vortex Fluidic Flow, Thaar M. D. Alharbi, Matt Jellicoe, Xuan Luo, Kasturi Vimalanathan, Ibrahim K. Alsulami, Bediea S. Al Harbi, Aghil Igder, Fayed A. J. Alrashaidi, Xianjue Chen, Keith A. Stubbs, Justin M. Chalker, Wei Zhang, Ramiz A. Boulos, Darryl B. Jones, Jamie S. Quinton, Colin L. Raston
Research outputs 2014 to 2021
Shear stress in dynamic thin films, as in vortex fluidics, can be harnessed for generating non-equilibrium conditions, but the nature of the fluid flow is not understood. A rapidly rotating inclined tube in the vortex fluidic device (VFD) imparts shear stress (mechanical energy) into a thin film of liquid, depending on the physical characteristics of the liquid and rotational speed,ω, tilt angle,θ, and diameter of the tube. Through understanding that the fluid exhibits resonance behaviours from the confining boundaries of the glass surface and the meniscus that determines the liquid film thickness, we have established specific topological mass transport regimes. …
Design And Perspective Of Amorphous Metal Nanoparticles From Laser Synthesis And Processing, Shun-Xing Liang, Lai-Chang Zhang, Sven Reichenberger, Stephan Barcikowski
Design And Perspective Of Amorphous Metal Nanoparticles From Laser Synthesis And Processing, Shun-Xing Liang, Lai-Chang Zhang, Sven Reichenberger, Stephan Barcikowski
Research outputs 2014 to 2021
Amorphous metal nanoparticles (A-NPs) have aroused great interest in their structural disordering nature and combined downsizing strategies (e.g. nanoscaling), both of which are beneficial for highly strengthened properties compared to their crystalline counterparts. Conventional synthesis strategies easily induce product contamination and/or size limitations, which largely narrow their applications. In recent years, laser ablation in liquid (LAL) and laser fragmentation in liquid (LFL) as "green"and scalable colloid synthesis methodologies have attracted extensive enthusiasm in the production of ultrapure crystalline NPs, while they also show promising potential for the production of A-NPs. Yet, the amorphization in such methods still lacks sufficient rules …
Measurement Of Micro Burr And Slot Widths Through Image Processing: Comparison Of Manual And Automated Measurements In Micro‐Milling, Fatih Akkoyun, Ali Ercetin, Kubilay Aslantas, Danil Yurievich Pimenov, Khaled Giasin, Avinash Lakshmikanthan, Muhammad Aamir
Measurement Of Micro Burr And Slot Widths Through Image Processing: Comparison Of Manual And Automated Measurements In Micro‐Milling, Fatih Akkoyun, Ali Ercetin, Kubilay Aslantas, Danil Yurievich Pimenov, Khaled Giasin, Avinash Lakshmikanthan, Muhammad Aamir
Research outputs 2014 to 2021
In this study, the burr and slot widths formed after the micro‐milling process of Inconel 718 alloy were investigated using a rapid and accurate image processing method. The measurements were obtained using a user‐defined subroutine for image processing. To determine the accuracy of the developed imaging process technique, the automated measurement results were compared against results measured using a manual measurement method. For the cutting experiments, Inconel 718 alloy was machined using several cutting tools with different geometry, such as the helix angle, axial rake angle, and number of cutting edges. The images of the burr and slots were captured …
Applications Of Membranes For Sustainability, Veeriah Jegatheesan, Chettiyappan Visvanathan, Li Shu, Faisal I. Hai, Ludovic F. Dumée
Applications Of Membranes For Sustainability, Veeriah Jegatheesan, Chettiyappan Visvanathan, Li Shu, Faisal I. Hai, Ludovic F. Dumée
Research outputs 2014 to 2021
Applications of membranes in water and wastewater treatment, desalination, as well as other purification processes, have become more widespread over the past few decades. However, we continue to ponder on (i) how well do we get maximum benefits from membrane applications? (ii) In what areas of membranes do we need to further our fundamental understanding? (iii) Which membrane technologies find difficulties in scale-up? (iv) How good are we in integrating membrane technologies? (v) How can we improve the reliability of membranes and reduce the cost? (vi) Where are we in disseminating the needs if we are to use membranes all …
A Review Of Enhancement Of Biohydrogen Productions By Chemical Addition Using A Supervised Machine Learning Method, Yiyang Liu, Jinze Liu, Hongzhen He, Shanru Yang, Yixiao Wang, Jin Hu, Huan Jin, Tianxiang Cui, Gang Yang, Yong Sun
A Review Of Enhancement Of Biohydrogen Productions By Chemical Addition Using A Supervised Machine Learning Method, Yiyang Liu, Jinze Liu, Hongzhen He, Shanru Yang, Yixiao Wang, Jin Hu, Huan Jin, Tianxiang Cui, Gang Yang, Yong Sun
Research outputs 2014 to 2021
In this work, the impact of chemical additions, especially nano‐particles (NPs), was quan-titatively analyzed using our constructed artificial neural networks (ANNs)‐response surface methodology (RSM) algorithm. Fe‐based and Ni‐based NPs and ions, including Mg2+, Cu2+, Na+, NH4+, and K+, behave differently towards the response of hydrogen yield (HY) and hydrogen evolution rate (HER). Manipulating the size and concentration of NPs was found to be effective in enhancing the HY for Fe‐based NPs and ions, but not for Ni‐based NPs and ions. An optimal range of particle size (86–120 nm) and Ni‐ion/NP concentration (81–120 mg L−1) existed for HER. Meanwhile, the manipulation …
Prediction Of Mean Wave Overtopping At Simple Sloped Breakwaters Using Kernel-Based Methods, Shabnam Hosseinzadeh, Amir Etemad-Shahidi, Ali Koosheh
Prediction Of Mean Wave Overtopping At Simple Sloped Breakwaters Using Kernel-Based Methods, Shabnam Hosseinzadeh, Amir Etemad-Shahidi, Ali Koosheh
Research outputs 2014 to 2021
The accurate prediction of the mean wave overtopping rate at breakwaters is vital for a safe design. Hence, providing a robust tool as a preliminary estimator can be useful for practitioners. Recently, soft computing tools such as artificial neural networks (ANN) have been developed as alternatives to traditional overtopping formulae. The goal of this paper is to assess the capabilities of two kernel-based methods, namely Gaussian process regression (GPR) and support vector regression for the prediction of mean wave overtopping rate at sloped breakwaters. An extensive dataset taken from the EurOtop database, including rubble mound structures with permeable core, straight …
Fabrication Of Black Silicon Via Metal-Assisted Chemical Etching—A Review, Mohammad Yasir Arafat, Mohammad Aminul Islam, Ahmad W. B. Mahmood, Fairuz Abdullah, Mohammad Nur-E-Alam, Tiong Sieh Kiong, Nowshad Amin
Fabrication Of Black Silicon Via Metal-Assisted Chemical Etching—A Review, Mohammad Yasir Arafat, Mohammad Aminul Islam, Ahmad W. B. Mahmood, Fairuz Abdullah, Mohammad Nur-E-Alam, Tiong Sieh Kiong, Nowshad Amin
Research outputs 2014 to 2021
The metal-assisted chemical etching (MACE) technique is commonly employed for texturing the wafer surfaces when fabricating black silicon (BSi) solar cells and is considered to be a potential technique to improve the efficiency of traditional Si-based solar cells. This article aims to review the MACE technique along with its mechanism for Ag-, Cu- and Ni-assisted etching. Primarily, several essential aspects of the fabrication of BSi are discussed, including chemical reaction, etching direction, mass transfer, and the overall etching process of the MACE method. Thereafter, three metal catalysts (Ag, Cu, and Ni) are critically analyzed to identify their roles in producing …
Enhanced Oil Recovery By Hydrophilic Silica Nanofluid: Experimental Evaluation Of The Impact Of Parameters And Mechanisms On Recovery Potential, Tariq A. Chandio, Muhammad A. Manan, Khalil R. Memon, Ghulam Abbas, Ghazanfer R. Abbasi
Enhanced Oil Recovery By Hydrophilic Silica Nanofluid: Experimental Evaluation Of The Impact Of Parameters And Mechanisms On Recovery Potential, Tariq A. Chandio, Muhammad A. Manan, Khalil R. Memon, Ghulam Abbas, Ghazanfer R. Abbasi
Research outputs 2014 to 2021
Nanofluids as an EOR technique are reported to enhance oil recoveries. Among all the nanomaterial silica with promising lab results, economic and environmental acceptability are an ideal material for future applications. Despite the potential to enhance recoveries, understanding the two-fold impact of parameters such as concentration, salinity, stability, injection rate, and irreproducibility of results has arisen ambiguities that have delayed field applications. This integrated study is conducted to ascertain two-fold impacts of concentration and salinity on recovery and stability and evaluates corresponding changes in the recovery mechanism with variance in the parameters. Initially, silica nanofluids’ recovery potential was evaluated by …
Analysis Of Gps And Uwb Positioning System For Athlete Tracking, Adnan Waqar, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung
Analysis Of Gps And Uwb Positioning System For Athlete Tracking, Adnan Waqar, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung
Research outputs 2014 to 2021
In recent years, wearable performance monitoring systems have become increasingly popular in competitive sports. Wearable devices can provide vital information including distance covered, velocity, change of direction, and acceleration, which can be used to improve athlete performance and prevent injuries. Tracking technology that monitors the movement of an athlete is an important element of sport wearable devices. For tracking, the cheapest option is to use global positioning system (GPS) data however, their large margins of error are a major concern in many sports. Consequently, indoor positioning systems (IPS) have become popular in sports in recent years where the ultra-wideband (UWB) …
Hybrid Mamdani Fuzzy Rules And Convolutional Neural Networks For Analysis And Identification Of Animal Images, Hind R. Mohammed, Zahir M. Hussain
Hybrid Mamdani Fuzzy Rules And Convolutional Neural Networks For Analysis And Identification Of Animal Images, Hind R. Mohammed, Zahir M. Hussain
Research outputs 2014 to 2021
Accurate, fast, and automatic detection and classification of animal images is challenging, but it is much needed for many real-life applications. This paper presents a hybrid model of Mamdani Type-2 fuzzy rules and convolutional neural networks (CNNs) applied to identify and distinguish various animals using different datasets consisting of about 27,307 images. The proposed system utilizes fuzzy rules to detect the image and then apply the CNN model for the object’s predicate category. The CNN model was trained and tested based on more than 21,846 pictures of animals. The experiments’ results of the proposed method offered high speed and efficiency, …