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Articles 691 - 720 of 14367

Full-Text Articles in Social and Behavioral Sciences

A Practical Protocol For The Experimental Design Of Comparative Studies On Water Treatment, Long Ho, Olivier Thas, Wout Van Echelpoel, Peter L. M Goethals Jan 2019

A Practical Protocol For The Experimental Design Of Comparative Studies On Water Treatment, Long Ho, Olivier Thas, Wout Van Echelpoel, Peter L. M Goethals

Faculty of Engineering and Information Sciences - Papers: Part B

The design and execution of effective and informative experiments in comparative studies on water treatment is challenging due to their complexity and multidisciplinarity. Often, environmental engineers and researchers carefully set up their experiments based on literature information, available equipment and time, analytical methods and experimental operations. However, because of time constraints but mainly missing insight, they overlook the value of preliminary experiments, as well as statistical and modeling techniques in experimental design. In this paper, the crucial roles of these overlooked techniques are highlighted in a practical protocol with a focus on comparative studies on water treatment optimization. By integrating …

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Quality Assurance Of Cyberknife Robotic Stereotactic Radiosurgery Using An Angularly Independent Silicon Detector, Sultan Alhujaili, Giordano Biasi, Faisal Alzorkany, Garry Grogan, Muhammed Al Kafi, Jonathan Lane, Benjamin Hug, Abdullah H. Aldosari, Sami Alshaikh, Pejman Farzad, Martin A. Ebert, Belal Moftah, Anatoly B. Rosenfeld, Marco Petasecca Jan 2019

Quality Assurance Of Cyberknife Robotic Stereotactic Radiosurgery Using An Angularly Independent Silicon Detector, Sultan Alhujaili, Giordano Biasi, Faisal Alzorkany, Garry Grogan, Muhammed Al Kafi, Jonathan Lane, Benjamin Hug, Abdullah H. Aldosari, Sami Alshaikh, Pejman Farzad, Martin A. Ebert, Belal Moftah, Anatoly B. Rosenfeld, Marco Petasecca

Faculty of Engineering and Information Sciences - Papers: Part B

Purpose: The aim of this work was to evaluate the use of an angularly independent silicon detector (edgeless diodes) developed for dosimetry in megavoltage radiotherapy for Cyberknife in a phantom and for patient quality assurance (QA). Method: The characterization of the edgeless diodes has been performed on Cyberknife with fixed and IRIS collimators. The edgeless diode probes were tested in terms of basic QA parameters such as measurements of tissue-phantom ratio (TPR), output factor and off-axis ratio. The measurements were performed in both water and water-equivalent phantoms. In addition, three patient-specific plans have been delivered to a lung phantom with …

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Ontological Review Of Persuasion Support Systems (Pss) For Health Behavior Change Through Physical Activity, Khin Than Win, Arkalgud Ramaprasad, Thant Syn Jan 2019

Ontological Review Of Persuasion Support Systems (Pss) For Health Behavior Change Through Physical Activity, Khin Than Win, Arkalgud Ramaprasad, Thant Syn

Faculty of Engineering and Information Sciences - Papers: Part B

Persuasion Support Systems (PSS) for health behavior change can play an important role in promoting health and well-being through physical activity. It is an emerging application at the crossroad between information systems, persuasion, and healthcare. We propose an ontology to systematically and systemically describe the construct of PSS for health behavior change. The ontology deconstructs the construct into its constituent dimensions and elements, and assembles them into a complete, parsimonious description of the same. We then map the corpus of literature on PSS for health behavior change through physical activity onto the ontology. The resulting ontological map highlights the research …

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Maximum Axial Load Carrying Capacity Of Fibre Reinforced-Polymer (Frp) Bar Reinforced Concrete Columns Under Axial Compression, Hayder Alaa Hasan, M Neaz Sheikh, Muhammad N. S Hadi Jan 2019

Maximum Axial Load Carrying Capacity Of Fibre Reinforced-Polymer (Frp) Bar Reinforced Concrete Columns Under Axial Compression, Hayder Alaa Hasan, M Neaz Sheikh, Muhammad N. S Hadi

Faculty of Engineering and Information Sciences - Papers: Part B

In this study, a new equation is proposed to compute the maximum axial load carrying capacity of FRP bar reinforced concrete columns under axial compression. The equation proposed in this study was critically compared with the equations proposed in the previous research studies using a wide range of experimental data taken from the available literature. In general, it was found that computing the contribution of the FRP longitudinal bars in concrete columns based on the modulus of elasticity (stiffness) of the FRP bars provides more rational predictions than computing the contribution of the FRP longitudinal bars based on the ultimate …

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Novel Hybrid Frp Tubular Columns With Large Deformation Capacity: Concept And Behaviour, Tao Yu, Hongchao Zhao, Ting X. Ren, Alex M. Remennikov Jan 2019

Novel Hybrid Frp Tubular Columns With Large Deformation Capacity: Concept And Behaviour, Tao Yu, Hongchao Zhao, Ting X. Ren, Alex M. Remennikov

Faculty of Engineering and Information Sciences - Papers: Part B

Extensive studies have been conducted on the use of fibre-reinforced polymer (FRP) as a confining material in hybrid tubular columns for civil construction, where the design of columns is often controlled by the stiffness and/or strength requirements. By contrast, the capacity of sustaining large deformation without losing structural integrity can be critical in some applications such as the standing supports for underground mines. This paper presents the conceptual development of a novel column form with large deformation capacity. The novel column consists of an outer FRP tube, and an infill made of coarse lumps/aggregates, which can be from coal rejects …

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Ultraviolet/Persulfate Pre-Treatment For Organic Fouling Mitigation Of Forward Osmosis Membrane: Possible Application In Nutrient Mining From Dairy Wastewater, Biplob K. Pramanik, Faisal I. Hai, Felicity Roddick Jan 2019

Ultraviolet/Persulfate Pre-Treatment For Organic Fouling Mitigation Of Forward Osmosis Membrane: Possible Application In Nutrient Mining From Dairy Wastewater, Biplob K. Pramanik, Faisal I. Hai, Felicity Roddick

Faculty of Engineering and Information Sciences - Papers: Part B

The forward osmosis (FO) membrane process has recently established its potential as an alternative option to traditional membrane processes for producing clean water and recovering nutrients from anaerobically treated wastewater streams. However, organic fouling of membrane leads to reduced flux, and, thus, reduced amount of the extractable resources. In this study, the impact of ultraviolet/persulfate (UV/PS) oxidation pre-treatment for the mitigation of organic fouling in the FO process during processing of anaerobically treated dairy effluent (ATDE) was determined using a multi-cycle filtration method. The UV/PS performance was compared with control pre-treatments such as stand-alone ultraviolet (UV) irradiation and potassium persulfate …

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Dual Effects Of Tisio4composite Nanoparticles On Dispersionstability And Lubrication Performance Of Vegetable Oil‐In‐Water Emulsions, Reza Taheri, Buyung Kosasih, Hongtao Zhu, Anh Kiet Tieu Jan 2019

Dual Effects Of Tisio4composite Nanoparticles On Dispersionstability And Lubrication Performance Of Vegetable Oil‐In‐Water Emulsions, Reza Taheri, Buyung Kosasih, Hongtao Zhu, Anh Kiet Tieu

Faculty of Engineering and Information Sciences - Papers: Part B

Vegetable oil-in-water emulsions are potential metal-working lubricants. These emulsions are susceptible to oil-water phase separation due to the oil droplets' coalescence. In this study, we enhance the dispersion stability and lubricity of such emulsions with TiSiO4 nanoparticles (NPs). With 1 vol% soybean oil, stable emulsions are obtained with 0.25 to 0.75 wt% NPs, attributed to formation of shielding layers of NPs around the droplets. Lowest friction and wear are obtained without and with 0.25 wt% NPs, respectively. With increasing the NPs' mass fraction, NP-shielded droplets become less attracted to metal surfaces. Association of NPs within boundary film is also found …

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Transformation Behavior And Properties Of Carbide-Free Bainite Steels With Different Si Contents, Junyu Tian, Guang Xu, Zhengyi Jiang, Xiangliang Wan, Haijiang Hu, Qing Yuan Jan 2019

Transformation Behavior And Properties Of Carbide-Free Bainite Steels With Different Si Contents, Junyu Tian, Guang Xu, Zhengyi Jiang, Xiangliang Wan, Haijiang Hu, Qing Yuan

Faculty of Engineering and Information Sciences - Papers: Part B

The bainite transformation behavior and properties of low carbon carbide-free bainitic steels containing different silicon (Si) contents are investigated by two different types of heat treatment processes: isothermal transformation process (ITP) and continuous cooling process (CCP). The results indicate that for ITP and CCP, the transformation kinetics of bainite is retarded and the final bainite amount decreases with increasing Si content. However, both the strength and total elongation improve with the increase of Si content in the range of 1.0-2.0 wt%, resulting in an apparent increment in comprehensive property of bainitic steels due to the more film-like RA and less …

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Metamorphic Testing Of Driverless Cars, Zhi Q. Zhou, Liqun Sun Jan 2019

Metamorphic Testing Of Driverless Cars, Zhi Q. Zhou, Liqun Sun

Faculty of Engineering and Information Sciences - Papers: Part B

On March 18, 2018, Elaine Herzberg became the first pedestrian in the world to be killed by an autonomous vehicle after being hit by a self-driving Uber SUV in Tempe, AZ, at about 10 p.m. Video released by the local police department showed the self-driving Volvo XC90 did not appear to see Herzberg, as it did not slow down or alter course, even though she was visible in front of the vehicle prior to impact. Subsequently, automotive engineering experts raised questions about Uber's LiDAR technology.12 LiDAR, or "light detection and ranging," uses pulsed laser light to enable a self-driving car …

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Characterisation And Evaluation Of A New Phase Change Enhanced Working Solution For Liquid Desiccant Cooling Systems, Haoshan Ren, Zhenjun Ma, Stefan Gschwander Jan 2019

Characterisation And Evaluation Of A New Phase Change Enhanced Working Solution For Liquid Desiccant Cooling Systems, Haoshan Ren, Zhenjun Ma, Stefan Gschwander

Faculty of Engineering and Information Sciences - Papers: Part B

Desiccant solutions play an essential role in desiccant cooling systems to absorb moisture from the process air. This paper presents the characterisation of a new working solution for liquid desiccant cooling systems. The new working solution was prepared through dispersion of micro-encapsulated phase change materials (MPCMs) into lithium chloride (LiCl) desiccant solutions to ensure that the dehumidification process was achieved under a low temperature condition and to improve thermal capacity and moisture removal efficiency of the mixture. The properties of the new solution, including density, enthalpy-temperature relationship, particle size distribution, thermal conductivity, and vapour pressure were characterised through either experimental …

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Investigation Of Grain Refinement Mechanism Of Nickel Single Crystal During High Pressure Torsion By Crystal Plasticity Modeling, Peitang Wei, Hao Zhou, Huaiju Liu, Caichao Zhu, Wei Wang, Guanyu Deng Jan 2019

Investigation Of Grain Refinement Mechanism Of Nickel Single Crystal During High Pressure Torsion By Crystal Plasticity Modeling, Peitang Wei, Hao Zhou, Huaiju Liu, Caichao Zhu, Wei Wang, Guanyu Deng

Faculty of Engineering and Information Sciences - Papers: Part B

The excellent properties of ultra-fine grained (UFG) materials are relevant to substantial grain refinement and the corresponding induced small grains delineated by high-angle grain boundaries. The present study aims to understand the grain refinement mechanism by examining the nickel single crystal processed by high pressure torsion (HPT), a severe plastic deformation method to produce UFG materials based upon crystal plasticity finite element (CPFEM) simulations. The predicted grain maps by the developed CPFEM model are capable of capturing the prominent characteristics associated with grain refinement in HPT. The evolution of the orientation of structural elements and the rotations of crystal lattices …

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Measurement And Analysis Of The Radial Motion Error Of Aerostatic Ultra-Precision Spindle, Hailong Cui, Dajiang Lei, Xinjiang Zhang, He Lan, Zhengyi Jiang, Lingbao Kong Jan 2019

Measurement And Analysis Of The Radial Motion Error Of Aerostatic Ultra-Precision Spindle, Hailong Cui, Dajiang Lei, Xinjiang Zhang, He Lan, Zhengyi Jiang, Lingbao Kong

Faculty of Engineering and Information Sciences - Papers: Part B

The measurement of the rotation error of an aerostatic ultra-precision spindle is critically important to evaluate and hence ensure the precision of machine tools. The Donaldson reversal method, which was taken as the efficient method for error separation theoretically, has been widely used to separate shape errors of standard artifact. However, the accuracy analysis of the Donaldson reversal method has not been fully studied and understood. In this study, a nanometer system for measuring the radial rotation error of aerostatic ultra-precision spindle was constructed based on the Donaldson reversal method. The comparative experiments were carried out to investigate the effects …

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Decompression Of Hydrogen-Natural Gas Mixtures In High-Pressure Pipelines: Cfd Modelling Using Different Equations Of State, Bin Liu, Xiong Liu, Cheng Lu, Ajit R. Godbole, Guillaume Michal, Lin Teng Jan 2019

Decompression Of Hydrogen-Natural Gas Mixtures In High-Pressure Pipelines: Cfd Modelling Using Different Equations Of State, Bin Liu, Xiong Liu, Cheng Lu, Ajit R. Godbole, Guillaume Michal, Lin Teng

Faculty of Engineering and Information Sciences - Papers: Part B

When designing high-pressure gas pipelines, it must be ensured that a running fracture is arrested within the shortest possible length. The semi-empirical Battelle Two-Curve Model (BTCM) proposed in the early 1970s is still widely used in the industry to estimate the required toughness of the pipe wall material. The BTCM method requires accurate prediction of the gas decompression wave speed. In this paper, a Computational Fluid Dynamics (CFD) model is proposed to predict the decompression wave speed of high-pressure Hydrogen-Natural Gas (H2NG) mixtures in pipelines. The CFD model is validated against experimental data. Three Equations of State (EOS): the Peng-Robinson …

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Engineering Students At Day Zero: Selection And Concerns By Gender, Sasha Nikolic, Thomas F. Suesse, Thomas Goldfinch Jan 2019

Engineering Students At Day Zero: Selection And Concerns By Gender, Sasha Nikolic, Thomas F. Suesse, Thomas Goldfinch

Faculty of Engineering and Information Sciences - Papers: Part B

The importance of attracting students to STEM disciplines such as engineering is well understood. Many developed countries are trying to grow numbers in the field by attracting a greater proportion of females than currently exists. This study explores student engineering selection decisions and initial concerns by gender prior to official commencement of classes within common first year engineering.

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Polymerisation Shrinkage Profiling Of Dental Composites Using Optical Fibre Sensing And Their Correlation With Degree Of Conversion And Curing Rate, Ginu Rajan, Raju Raju, Sagar Jinachandran, Paul Farrar, Jiangtao Xi, Gangadhara B. Prusty Jan 2019

Polymerisation Shrinkage Profiling Of Dental Composites Using Optical Fibre Sensing And Their Correlation With Degree Of Conversion And Curing Rate, Ginu Rajan, Raju Raju, Sagar Jinachandran, Paul Farrar, Jiangtao Xi, Gangadhara B. Prusty

Faculty of Engineering and Information Sciences - Papers: Part B

Traditional polymerisation shrinkage (PS) measurement systems measure average PS of dental composites, but the true local PS varies along the length and breadth of the composite. The PS depends on the curing light intensity distribution, resultant degree of conversion (DOC) and the curing rate. In this paper, optical fibre Bragg grating (FBG) sensing based technology is used to measure the linear post-gel PS at multiple locations within dental composite specimens, and is correlated with DOC and curing rate. A commercial dental composite is used, and its post-gel PS and DOC are mapped using embedded fibre Bragg grating sensors at different …

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Protecting Pfc Capacitors From Overvoltage Caused By Harmonics And System Resonance Using High Temperature Superconducting Reactors, Md Minarul Islam, Danny Sutanto, Kashem M. Muttaqi Jan 2019

Protecting Pfc Capacitors From Overvoltage Caused By Harmonics And System Resonance Using High Temperature Superconducting Reactors, Md Minarul Islam, Danny Sutanto, Kashem M. Muttaqi

Faculty of Engineering and Information Sciences - Papers: Part B

Shunt capacitors are deployed for power factor correction (PFC) to reduce the load reactive power and to provide voltage support. Nonlinear loads, such as variable speed drives, can inject harmonics into the network. If the line impedance value produces a resonance with the PFC capacitor and the injected frequency coincides with the resonant frequency, an overvoltage is produced across the capacitor, which can lead to failure or explosion. To protect the PFC capacitor, a reactor can be connected in series with the PFC capacitor and tuned at the harmonic frequency of the system resonance. This paper proposes the use of …

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Predicting Strength And Strain Enhancement Ratios Of Circular Fiber-Reinforced Polymer Tube Confined Concrete Under Axial Compression Using Artificial Neural Networks, Qasim S. Khan, M Neaz Sheikh, Muhammad N. S Hadi Jan 2019

Predicting Strength And Strain Enhancement Ratios Of Circular Fiber-Reinforced Polymer Tube Confined Concrete Under Axial Compression Using Artificial Neural Networks, Qasim S. Khan, M Neaz Sheikh, Muhammad N. S Hadi

Faculty of Engineering and Information Sciences - Papers: Part B

Numerous research studies experimentally investigated the axial compressive behavior of fiber-reinforced polymer tube confined concrete cylinders in the past two decades. However, only a limited number of research studies developed stress-strain models to predict the strength and strain enhancement ratio of fiber-reinforced polymer tube confined concrete cylinders under axial compression. The available strength and strain enhancement ratio models of fiber-reinforced polymer tube confined concrete cylinders are a function of actual confinement ratio only. This study develops strength and strain enhancement ratio models for circular fiber-reinforced polymer tube confined concrete under axial compression based on artificial neural network analyses using Purelin …

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Recent Advances In Transfer Learning For Cross-Dataset Visual Recognition: A Problem-Oriented Perspective, Jing Zhang, Wanqing Li, Philip O. Ogunbona, Dong Xu Jan 2019

Recent Advances In Transfer Learning For Cross-Dataset Visual Recognition: A Problem-Oriented Perspective, Jing Zhang, Wanqing Li, Philip O. Ogunbona, Dong Xu

Faculty of Engineering and Information Sciences - Papers: Part B

This article takes a problem-oriented perspective and presents a comprehensive review of transfer-learning methods, both shallow and deep, for cross-dataset visual recognition. Specifically, it categorises the cross-dataset recognition into 17 problems based on a set of carefully chosen data and label attributes. Such a problem-oriented taxonomy has allowed us to examine how different transfer-learning approaches tackle each problem and how well each problem has been researched to date. The comprehensive problem-oriented review of the advances in transfer learning with respect to the problem has not only revealed the challenges in transfer learning for visual recognition but also the problems (e.g., …

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Efficient Construction For Full Black-Box Accountable Authority Identity-Based Encryption, Zhen Zhao, Jianchang Lai, Willy Susilo, Baocang Wang, Yupu Hu, Fuchun Guo Jan 2019

Efficient Construction For Full Black-Box Accountable Authority Identity-Based Encryption, Zhen Zhao, Jianchang Lai, Willy Susilo, Baocang Wang, Yupu Hu, Fuchun Guo

Faculty of Engineering and Information Sciences - Papers: Part B

Accountable authority identity-based encryption (A-IBE), as an attractive way to guarantee the user privacy security, enables a malicious private key generator (PKG) to be traced if it generates and re-distributes a user private key. Particularly, an A-IBE scheme achieves full black-box security if it can further trace a decoder box and is secure against a malicious PKG who can access the user decryption results. In PKC'11, Sahai and Seyalioglu presented a generic construction for full black-box A-IBE from a primitive called dummy identity-based encryption, which is a hybrid between IBE and attribute-based encryption (ABE). However, as the complexity of ABE, …

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Magnetically- And Electrically-Controllable Functional Liquid Metal Droplets, Fangxia Li, Shaolong Kuang, Xiangpeng Li, Jian Shu, Weihua Li, Shiyang Tang, Shiwu Zhang Jan 2019

Magnetically- And Electrically-Controllable Functional Liquid Metal Droplets, Fangxia Li, Shaolong Kuang, Xiangpeng Li, Jian Shu, Weihua Li, Shiyang Tang, Shiwu Zhang

Faculty of Engineering and Information Sciences - Papers: Part B

Gallium-based room temperature liquid metal alloys have recently been explored to be an emerging functional material. They have attracted particular attentions in a variety of applications due to their unique properties. Many of the applications are based on the precise control over the motion of liquid metal, and yet, the fact that currently lacking the advanced and reliable controlling methods greatly hinders the potential of liquid metal to be applied in a wider range of fields. In this study, an innovative approach is developed to obtain functional liquid metal (FLM) by modifying it with copper-iron magnetic nanoparticles (Cu-Fe NPs). The …

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Go@Se@Ni Cathode Materials For Lithium-Selenium Battery, Jun Liu, Daoyun Lan, Xinyue Huang, Feitao Zhang, Aiqi Huang, Yaoxin Xiao, Zhuozhuo Zhao, Liying Liu, Xi Ke, Zhicong Shi, Zaiping Guo Jan 2019

Go@Se@Ni Cathode Materials For Lithium-Selenium Battery, Jun Liu, Daoyun Lan, Xinyue Huang, Feitao Zhang, Aiqi Huang, Yaoxin Xiao, Zhuozhuo Zhao, Liying Liu, Xi Ke, Zhicong Shi, Zaiping Guo

Faculty of Engineering and Information Sciences - Papers: Part B

Selenium is a promising cathode material for high-energy lithium batteries. In this work, selenium was electrodeposited on nickel foam from aqueous selenite solution. The influences of pH values and current density on electrodeposited Se@Ni were investigated. It is found that electrodeposition at pH 7 and 0.5 mA cm −2 enables high current efficiency and produces uniform and smooth deposits. Graphene oxide (GO) was further coated on Se@Ni through physical adsorption to produce GO@Se@Ni. The developed GO@Se@Ni electrode delivers a high initial specific capacity of 593 mAh g −1 and good capacity retention over 100 cycles at 0.1 C.

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Smart Fog Based Workflow For Traffic Control Networks, Qiang Wu, Jun Shen, Binbin Yong, Jianqing Wu, Fucun Li, Jingqiang Wang, Qingguo Zhou Jan 2019

Smart Fog Based Workflow For Traffic Control Networks, Qiang Wu, Jun Shen, Binbin Yong, Jianqing Wu, Fucun Li, Jingqiang Wang, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

In this paper, we propose a novel traffic control architecture which is based on fog computing paradigm and reinforcement leaning technologies. We firstly provide an overview of this framework and detail the components and workflows designed to relieve traffic congestion. These workflows, which are connecting traffic lights, vehicles, Fog nodes and traffic cloud, aim to generate traffic light control flow and communication flow for each intersection to avoid a traffic jam. In order to make the whole city's traffic highly efficient, the fog computing paradigm and a distributed reinforcement learning algorithm is designed to overcome communication bandwidth limitation and local …

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A Microservices Oriented Edge Computing Framework For Lvc Simulation In The Iot Era, Wenxin Sun, Yanlong Zhai, Tianhong Bao, Muhammad Mudassar, Jun Shen, Kai Yang Jan 2019

A Microservices Oriented Edge Computing Framework For Lvc Simulation In The Iot Era, Wenxin Sun, Yanlong Zhai, Tianhong Bao, Muhammad Mudassar, Jun Shen, Kai Yang

Faculty of Engineering and Information Sciences - Papers: Part B

Modeling and simulation are essential methods to better understand a complex system in the real world. Many simulation systems have strong demand for involving physical devices or equipment in the system to improve the fidelity. But most of the current cloud based simulation systems are designed for equipment with adequate resources and suffering from high latency for their centralized communication. Edge computing is getting much attention as a new paradigm for distributed systems involving heterogeneous devices and requiring real-time communication. However, edge computing is still in its initial stage and there is no consensus on the edge framework and implementation. …

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Poincare Duality For Cuntz-Pimsner Algebras, Adam C. Rennie, David I. Robertson, Aidan Sims Jan 2019

Poincare Duality For Cuntz-Pimsner Algebras, Adam C. Rennie, David I. Robertson, Aidan Sims

Faculty of Engineering and Information Sciences - Papers: Part B

We present a new approach to Poincaré duality for Cuntz-Pimsner algebras. We provide sufficient conditions under which Poincaré self-duality for the coefficient algebra of a Hilbert bimodule lifts to Poincaré self-duality for the associated Cuntz-Pimsner algebra. With these conditions in hand, we can constructively produce fundamental classes in K-theory for a wide range of examples. We can also produce K-homology fundamental classes for the important examples of Cuntz-Krieger algebras (following Kaminker-Putnam) and crossed products of manifolds by isometries, and their non-commutative analogues.

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The Anisotropic Polyharmonic Curve Flow For Closed Plane Curves, Scott Parkins, Glen Wheeler Jan 2019

The Anisotropic Polyharmonic Curve Flow For Closed Plane Curves, Scott Parkins, Glen Wheeler

Faculty of Engineering and Information Sciences - Papers: Part B

We study the curve diffusion flow for closed curves immersed in the Minkowski plane M, which is equivalent to the Euclidean plane endowed with a closed, symmetric, convex curve called an indicatrix that scales the length of a vector in M depending on its length. The indiactrix ∂U (where U⊂ R 2 is a convex, centrally symmetric domain) induces a second convex body, the isoperimetrix I~. This set is the unique convex set that miniminises the isoperimetric ratio (modulo homothetic rescaling) in the Minkowski plane. We prove that under the flow, closed curves that are initially close to a homothetic …

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Characterization Of Tantalum And Tantalum Nitride Films On Ti6al4v Substrate Prepared By Filtered Cathodic Vacuum Arc Deposition For Biomedical Applications, Ay Ching Hee, Yue Zhao, Sina S. Jamali, Avi Bendavid, Phil J. Martin, Hongbo Guo Jan 2019

Characterization Of Tantalum And Tantalum Nitride Films On Ti6al4v Substrate Prepared By Filtered Cathodic Vacuum Arc Deposition For Biomedical Applications, Ay Ching Hee, Yue Zhao, Sina S. Jamali, Avi Bendavid, Phil J. Martin, Hongbo Guo

Faculty of Engineering and Information Sciences - Papers: Part B

This paper explores tantalum and tantalum nitride thin films produced by filtered cathodic vacuum arc deposition method as bio-stable surface treatment for Ti6Al4V titanium alloy. Effect of nitrogen to argon gas ratio on microstructure of the deposited film has been investigated. Corrosion behaviour of the films in simulated biological fluid solution was evaluated by electrochemical impedance spectroscopy. It was found that both the Ta and Ta-N films enhanced corrosion resistance of the Ti6Al4V substrate with the best protective characteristics achieved by the Ta-N film deposited at 0.25 N 2 /Ar gas ratio. The protective characteristic was attributed to the formation …

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A Novel Design Of Flow Structure Model For Online Viscosity Measurement, Yu Bie, Xiyan Guo, Pengyun Song, Jian Yang, Zhixiong Li Jan 2019

A Novel Design Of Flow Structure Model For Online Viscosity Measurement, Yu Bie, Xiyan Guo, Pengyun Song, Jian Yang, Zhixiong Li

Faculty of Engineering and Information Sciences - Papers: Part B

In industry, viscosity is widely used to assess the level of internal friction in a fluid in order to evaluate lubricant oil performance. Various sensing equipment has been developed to measure viscosity, either offline or online. However, most offline methods weaken the rheological behaviour of the fluid, resulting in inaccurate measurements. Online monitoring can overcome this limitation but viscosity measurements at real-time temperatures still cannot be directly converted to viscosities at the standard temperatures in ISO 3448. Consideration of the effect of temperature in transferring real-time viscosity measurement into the ISO standard presents a challenge. To bridge this research gap, …

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Liquid Metal-Filled Magnetorheological Elastomer With Positive Piezoconductivity, Guolin Yun, Shiyang Tang, Shuaishuai Sun, Dan Yuan, Qianbin Zhao, Lei Deng, Sheng Yan, Haiping Du, Michael Dickey, Weihua Li Jan 2019

Liquid Metal-Filled Magnetorheological Elastomer With Positive Piezoconductivity, Guolin Yun, Shiyang Tang, Shuaishuai Sun, Dan Yuan, Qianbin Zhao, Lei Deng, Sheng Yan, Haiping Du, Michael Dickey, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

Conductive elastic composites have been used widely in soft electronics and soft robotics. These composites are typically a mixture of conductive fillers within elastomeric substrates. They can sense strain via changes in resistance resulting from separation of the fillers during elongation. Thus, most elastic composites exhibit a negative piezoconductive effect, i.e. the conductivity decreases under tensile strain. This property is undesirable for stretchable conductors since such composites may become less conductive during deformation. Here, we report a liquid metal-filled magnetorheological elastomer comprising a hybrid of fillers of liquid metal microdroplets and metallic magnetic microparticles. The composite's resistivity reaches a maximum …

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Online Monitoring And Prediction Of Thermo-Mechanics Of Afp Based Thermoplastic Composites, Ebrahim Oromiehie, Nilanjan Chakladar, Ginu Rajan, Gangadhara B. Prusty Jan 2019

Online Monitoring And Prediction Of Thermo-Mechanics Of Afp Based Thermoplastic Composites, Ebrahim Oromiehie, Nilanjan Chakladar, Ginu Rajan, Gangadhara B. Prusty

Faculty of Engineering and Information Sciences - Papers: Part B

Precision sensing in the characterization of complex additive manufacturing processes such as the Automated Fibre Placement (AFP) technique is important since the process involves a significant level of uncertainty in terms of quality and integrity of the manufactured product. These uncertainties can be monitored by embedding optical fibre Bragg grating (FBGs) sensors which provide accurate and simultaneous measurement of strain and temperature during the AFP process. The embedded sensors have been shown to remain resilient in continuous health monitoring after manufacturing. The thermal history obtained from the FBG sensors demonstrates a reduction of temperature on the bottom ply by up …

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Weak Micro-Scratch Detection Based On Deep Convolutional Neural Network, Limei Song, Wenwei Lin, Yan Yang, Xinjun Zhu, Qinghua Guo, Jiangtao Xi Jan 2019

Weak Micro-Scratch Detection Based On Deep Convolutional Neural Network, Limei Song, Wenwei Lin, Yan Yang, Xinjun Zhu, Qinghua Guo, Jiangtao Xi

Faculty of Engineering and Information Sciences - Papers: Part B

Metal component surfaces are random textured and non-smooth. There are many stains on the surface of metal component that are similar to the gray scale of the scratches. The scratches have non-uniform gray distribution, various shapes, and low contrast in their background, posing challenges in accurate scratch detection. This paper presents a method for detecting weak scratches on metal component surfaces based on deep convolutional neural networks (DCNNs). First, a DCNN is trained using labeled scratch images. Then, the scratches and some faults are detected by the trained DCNN, and most of the faults can be removed through properly thresholding …

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