Engineering

Civil, mining, environmental engineering

Project description

The project is industry-relevant and has significant value for China and Australia with extensive mining activities. Heavy metals are a major anthropogenic contaminant of estuarine and coastal ecosystems in China and Australia. This research proposes an integrated approach to minimisation of the impact of the heavy metals on public health and ecosystems, improving quality of life. The project will employ a number of advanced scientific and technical tools to understand the mechanisms of the removal of heavy metals, establishing unique links between fundamental and applied research. The supervisors are experts in Environmental Engineering and Mining Engineering.

Related research group

Strategic Water Infrastructure Lab (Prof Faisal Hai and Prof Will Price) and Centre for Infrastructure Protection and Mining Safety (Prof Ting Ren)

Related website

Principal supervisor

Professor Faisal Hai

Co-supervisor

Professor Ting Ren

Professor Will Price

Project description

Many emerging contaminants such as pharmaceuticals and biocides are not easily removed from wastewater by conventional biological treatments, resulting in a constant input into the aquatic environment. This study proposes to couple an enzymatic reactor with high retention membrane system to ensure complete retention of the contaminants, thereby facilitating their enhanced degradation. Such advanced treatment would produce reusable water. This topic involves a global problem with particular relevance to China and Australia.

Related research group

Strategic Water Infrastructure Laboratory

Related website

Principal supervisor

Professor Faisal Hai

Co supervisor

Dr Guangming Jiang

Professor Will Price

Project description

The world’s current dependence on fossil fuels has led to an increased emphasis being placed on developing sustainable fuel alternatives. Municipal solid waste is a promising source of this material as it comprises of up to 70% lignocellulose, is continuously being generated in large amounts and the diversion of such a large portion of waste from landfill has several environmental benefits. This research will focus on the conversion and optimisation of municipal solid waste to bioethanol by assessing the key factors of pre-treatment, hydrolysis, fermentation and separation. The use of a direct contact membrane distillation system will also be implemented due to its potential as a highly efficient and relatively low cost technology for ethanol separation from the fermentation broth. This topic involves a global problem with particular relevance to China and Australia.

Related research group

Strategic Water Infrastructure Lab (Prof Faisal Hai and Prof Will Price) and Centre for Infrastructure Protection and Mining Safety (Prof Ting Ren)

Related website

Principal supervisor

Professor Faisal Hai

Co-supervisor

Professor Zhenjun Ma

Professor Will Price

Project description

This project proposes to use the co-digestion technology for the treatment of waste activated sludge (WAS) or primary sludge (PS) with drinking water treatment sludge (DWTS), for economic and environmental benefits as demonstrated by our preliminary investigations using iron- or aluminum-containing DWTS. Batch biochemical methane potential (BMP) tests will be carried out to determine impacts of different DWTS on the digestion of sewage sludge (PS, WAS and PS/WAS mixture). Long-term studies using beach scale reactors will be performed to determine the optimal process parameters including hydraulic retention time, DWTS additions, temperature and PS/WAS mixture ratios. Potential further study about co-digesting DWTS with additional substrate (e.g. liquefied food waste) to accommodate additional solid waste stream treatment.

Principal supervisor

Guangming Jiang

Co-supervisor

Faisal Hai

 

Project description

The emergence of antimicrobial resistance genes in pathogens is induced by the selection pressure of antimicrobial drugs, and the subsequent horizontal transfer or vertical transmission of such resistance genes. Nearly 2 million people are infected by antibiotic-resistant pathogens in the USA yearly, and these infections lead to a US$20 billion health-care cost. This project aims to use molecular methods (qPCR and sequencing) to detect and track the AMR in the water systems. Subsequently, engineering control solutions can be designed for the treatment and control of AMR spread through water and wastewater.

Principal supervisor

Dr Guangming Jiang

 

Project description

The applicants have proposed a novel, environmentally friendly method for mitigating liquefaction potential of soil using scrap-tyre soil mixtures (TSM). Preliminary investigations highlight that TSM can effectively control the response liquefaction of soil during low cyclic load amplitudes. In this study, the efficacy of TSM will be examined, in detail, through laboratory experiments and numerical modelling for high amplitudes of cyclic loads from heavy and fast moving vehicles. Considering the significant amount of damages and associated maintenance cost on infrastructure, the proposed research will develop a low cost, environmentally friendly method using scrap tyre-soil mixtures (TSM) suited for mitigating liquefaction.

Principal supervisor

J S Vinod

Co-supervisor

Neaz Sheikh

 

Project description

The main objective is to develop a novel methodology for the design and analysis of scrap tyre columns for improving the stability of tailing dams. The project will not only solve the challenges associated with the stability of tailing dams but also provide environmentally sustainable use of scrap tyres for constructions.

Principal supervisor

J S Vinod

Co-supervisor

Neaz Sheikh

Project description

Structural connections are one of the key areas for improving the efficiency of a structural framework. This project first seeks to understand and define the characteristics of existing connections with reference to their use in construction, then invent innovative solutions to improve the relevant properties, either through incremental, evolutionary or revolutionary changes. New methods to design such connections will also be formulated.

Principal supervisor

Lip Teh

 

Project description

Traditional connections do not always facilitate the deconstruction of a building structure such that the building materials can be re-used for another construction project or recycled into new products. This project aims to invent new types of connections that support design for deconstruction. New methods to determine the characteristics including the strength of such connections in structural design will also be formulated.

Principal supervisor

Lip Teh

Project description

The design procedures for cold-formed steel structures have been mainly adapted from those formulated for hot-rolled steel and concrete/composite structures. Research on the seismic behaviour of cold-formed steel structures is limited even though there are peculiarities unique to cold-formed steel structures. This project aims to address the areas where no or little research has been done, and where design has been done on ad hoc basis

Principal supervisor

Lip Teh

Project description

High strength steel grades having yield stresses greater than 600 MPa are now being mass produced for applications in the mining and heavy construction industries. However, its applications to civil engineering structures have been rather limited. This project aims to research applications where it is advantageous and competitive to use high strength steel in civil engineering structures, either as steel structural members or as composite material.

Principal supervisor

Lip Teh

Project description

This project investigates the bahaviour of concrete members reinforced with fiber reinfrorced polymer bars udner different loading conditions.

Principal supervisor

Muhammad Hadi 

Project description

Geoploymer concrete is concrete without cement. This project investigates the behaviour of ambient-cured geoploymer concrete

Principal supervisor

Muhammad Hadi

 

Project description

The project aims to provide critical knowledge of coal burst in deep mines, particularly those workings operating in high-stress and complex-geological settings. The project will involve extensive lab tests and numerical modelling studies based on field conditions to understand key controls and precursors of burst risks and the design of effective mitigation strategies that can be practically deployed on sites.

Research Group

Mineral Resources Engineering

Principal supervisor

Ting Ren

Co-supervisor

Jan Nemcik

 

Project description

Gas drainage is an integrated part of underground mining of gassy coal seams and plays a key role in mine safety and productivity. Tight seams of low permeability with high CO2 composition present a challenge to effective pre-gas drainage practices that can be used to drop gas content below TLV of outburst before mining commencement. This project aims to develop a new method based on injection of stimulating gas to enhance this project therefore shorten the required gas drainage lead time.

Research Group

Mineral Resources Engineering

Principal supervisor

Ting Ren

Project description

This project aims to develop sophisticated computational models to simulate gas, dust particles and ventilation in confined space in underground workings. This include mine gas, dust and ventilation flow dynamics for the control of spontaneous combustion, gas emission and dust contamination in underground workings. The candidate needs to have strong modelling skills using CFD and DEM, monitoring and ideally practical knowledge and appreciation of mining operations.

Research Group

Mineral Resources Engineering

Principal supervisor

Ting Ren

 

Project description

Membrane distillation is a thermally driven membrane separation process where water vapour pressure difference across the membrane acts as the driving force. Membrane distillation has been widely used in the brackish water desalination, removal of micropollutants and recovery of components. This project will develop an innovative approach to use membrane distillation technology to generate fresh water and at the same time, drive the liquid desiccant cooling, which is being considered as one of the promising solutions to provide high quality clean air for better indoor air quality.

Research Group

Mineral Resources Engineering

Principal supervisor

Zhenjun Ma

Co supervisor

Faisal Hai

Project description

The high penetration of intermittent renewable energy sources has created a great need for increased flexibility that would allow an electrical power system to adapt to dynamic and changing energy demand and supply conditions. The primary aim of this project is to explore and quantify the opportunities of building energy flexibility, and develop a new control strategy to facilitate building demand side management, to reduce building operational cost, increase the security of energy supply and improve building resilience to extreme weather conditions.

Research Group

Sustainable Buildings Research Centre

Principal supervisor

Zhenjun Ma

Co supervisor

Wenye Lin

 

 

Mechanical, materials, mechatronics and biomedical engineering

Project description

This project is about the use of Technology to provide solutions to mobility problems confronted by older adults and individuals with physical disabilities. It is about the use of technologies and techniques of sensors / mechanical design optimization/ human movement analysis/ computational methods.

Research Group

Applied Mechatronic and Biomedical Engineering Research Group

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Principal supervisor

Dr Winson Lee

 

Project description

Alloys have different response to the applied load or changes in temperature, which may include grain growth or refinement, recrystallization, precipitation, phase transformation, etc. The evolution of microstructure during deformation or heating could be observed in-situ using transmission electron microscopy or scanning electron microscopy. However, it is important to understand the effects of the sample sizes used and role of the surface in such experiments compared to the processes taking place in bulk materials. Morphological, compositional and crystallographic information could be obtained and tracked as a function of temperature or of strain, for example.
Furthermore, a wealth of knowledge could be obtained if the same area of material is characterised using a combination of different techniques, such as scanning transmission electron microscopy, energy dispersive X-ray spectroscopy, secondary ion mass spectroscopy, electron back scattering diffraction and atom probe tomography. The materials to be used in the project may include steels, Ti alloys and high entropy alloys.

Research Group

UOW Electron Microscopy Centre

Principal supervisor

Elena Pereloma

 

Project description

Phase transformations play important role in controlling the performance of materials in service. In particular, mechanical properties could be tuned by varying the type and amount of phases present including the formation of nanoscale precipitation. Phase transformations could take place on cooling, heating or during deformation of the materials. Understanding the phase transformation mechanisms and how to control the resultant microstructures is essential for design of materials and their processing schedules. Examples of materials include steels, Ti alloys and high entropy alloys.
Advanced materials characterisation techniques, such as scanning transmission electron microscopy, atom probe tomography, electron back scattering diffraction or neutron diffraction could provide a valuable insight into phase transformation and microstructure evolution from macro to micro to nanoscale. The appropriate techniques will be utilised to achieve the aims of the project.

Research Group

UOW Electron Microscopy Centre

Principal supervisor

Elena Pereloma

Project description

This project proposes a smart robotic system with a novel human-to-robot skill acquisition technology to improve the flexibility, dexterity and versatility of industrial robotic applications in line with the emerging standards of Industry 4.0.

Project description

This project aims to develop a wearable smart robotic system to be used for lower-limb rehabilitation by sub-acute and chronic stroke patients.

Project description

This project focuses on the critical issues in Lithium-Ion battery based energy storage system management to achieve optimized strategies in terms of determination of performance, reliability and lifecycle cost. The research is related to development of multi-criteria decision-making models concerned with optimization problems involving more than one objective in the process. The objective is to achieve optimization in the system architecture, operation and control. It will use system dynamics knowledge and thermodynamics knowledge to study the nonlinear behaviour of the current flow, SOC, SOH and other factors. Machine learning and other AI algorithms will be developed and tested to realize the decision-making process. The outcome of the project would be an energy storage management system/framework embed with decision-making models equipped with AI algorithms.

Research Group

Asset Management and Systems Engineering Research Group/SMART Infrastructure Facility

Principal supervisor

Tieling Zhang

Co-Supervisor

Pascal Perez

Project description

To provide clean and affordable energy has been identified as a United Nations Sustainable Development Goal (UNSDG). The aim of this project is to develop a management system, i.e. a computational decision-making framework for optimal smart microgrid operation and management with a long-term goal to develop an app for in-field decision support, predictive maintenance and operation of microgrid. The research focus will be on developing approaches to microgrid management via a user-focused application to realize automated grid operation, fault detection and forecast as well as production scheduling.
In recent years, the digitisation of smart grids has attracted great research and application interest due to implementation of Internet-of-Things (IoT) sensors combined with data-driven approaches to real-time optimization, fault detection and operation control. The computational approaches have potential to improve reliability and performance of islanded microgrids in rural areas in many countries. However, an important gap is the lack of an integrated management framework combining digitisation via IoT sensors with user-friendly accessible interface that can automatically monitor, detect and forecast faults and predict maintenance, in addition to scheduling of generation and storage. Combining computational optimization and artificial intelligence technologies to create an integrated maintenance and operation system has not been well explored.

Research Group

Asset Management and Systems Engineering Research Group/SMART Infrastructure Facility

Principal supervisor

Tieling Zhang

Co-Supervisor

Pascal Perez

 

Project description

Microfluidic technologies including separation, focusing, detection, medium exchange are indispensable in chemical, biological, and biomedical analysis and applications. However, most of the current techniques are size-dependent and limited to particles having a relatively large size (> 5 µm) and spherical shape. The recent attention on particle manipulation based on viscoelastic microfluidics has been increasing as a result of its interesting intrinsic fluid properties. A viscoelastic fluid does not follow Newton's Law of Viscosity, instead, it either has a shear-dependent or shear-independent viscosity. Compared with particle manipulation in a Newtonian fluid, viscoelastic microfluidics has a lot of advantages. For example, the instability of viscoelastic fluids under certain circumstances can speed up the sample mixing. 3D particle focusing and separation can be easily realized in simple channels in viscoelastic fluids without any external force fields or complex microchannel structure. Moreover, it works for particles with a much wider size range (from micrometer to even nanometer) and higher resolution (tens of nanometer). By taking advantage of viscoelastic microfluidics, the project aims to develop a multifunctional cell sorter which can manipulate particle/cells based on either their size or shape in a high-throughput, high-resolution and low-cost manner. The research content of the project includes 1) mechanism studies, 2) development of platform technology, 3) biological and biomedical applications enabled by the platform.

Research Group

Advanced Manufacturing Technologies Powerhouse

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Principal supervisor

Weihua Li

 

Project description

Traditional building base isolation cannot adapt to the changes of the wind or the earthquake as it is inherently passive, which as a consequence compromises their efficiency and robustness and even causes adverse effects in some cases. This project aims to develop an adaptive multilayer magnetorheological elastomer base isolator to be used for suppression of building unwanted vibrations. This new isolation system aims to avoid the weakness of the coil overheating and energy consumption problem of the conventional MRE isolators. The effectiveness of the adaptive MRE isolation system on building protection will be verified on a scaled building. The proposed research with novel laminated structure is expected to pave a way to design large scale MRE devices and has become a benchmark design for the application of MRE material on large scale engineering applications. Other self-sensing and self-powering capacities may be included in the proposed adaptive isolation system.

Project description

In order to reduce/eliminate the cracking issues in stamping, flanging and reaming of some products of 980MPa-grade advanced automotive steel, a microstructure-based model will be established to identify the relationship between material microstructure and performance. This project aims at improving the shear ductility, reaming ratio and formability of high strength steel through adjusting material microstructure.

Research Group

Rolling Mechanics

Principal supervisor

Zhengyi Jiang

Co-Supervisor

Dr Haibo Xie

Project description

This project aims to develop a novel data-driven dynamic reliability assessment platform to improve predictive maintenance ability in complex cyberphysical systems (CPSs). This will be achieved by exactly identifying which degradation mechanism(s) are likely to cause an impending failure, and then highlighting the event to trigger for maintenance service or control operation. The expected outcomes are new methods and tools needed to leverage failure prognostics and prognostics-informed maintenance/control for making CPSs resilient with reduced levels of redundancy. This research will produce major advancements in extending core components’ life and durability in complex CPSs, bringing economic benefit for Australia industry.

Reserach Group

Mineral Resources Engineering

Principal supervisor

Zhixiong Li

Co-supervisor

Weihua Li

Project description

Ageing can affect an individual’s mobility, independence and consequently their ability to perform daily tasks and functions, thereby impacting on their quality of life. Assistive devices such as walking aids are of great input to maintain mobility of elder adults. However, their benefits are limited in home and outside environment. Your role is to design a wearable assistive device that will provide support to elder adults to improve their daily activities.

Research Group

AMBER

Principal supervisor

Dr Rahim Mutlu 

Co-supervisor

Prof Gursel Alici

Project description

Soft robotics is a rapidly growing new robotics research area that requires multidisciplinary approach to realize a robotic system mimicking its biological counterpart. Although, there are several research products studied exoskeletons, portability, mobility, light weight, low power consumption are some of the challenges for exoskeletons. Your role is to design a soft exoskeleton which will be used for lower limb rehabilitation.

Reserach Group

AMBER

Principal supervisor

Dr Rahim Mutlu

Co-supervisor

Prof Gursel Alici

Project description

Soft robotics is a rapidly growing new robotics research area that requires multidisciplinary approach to realize a robotic system mimicking its biological counterpart. Haptics play significant importance to communicate not only with close environment but also provide critical information about our limbs and their positions with proprioceptive feedback. Your role is to design a portable soft haptic device and perform its characterisation.

Project description

Amputation brings multiple disadvantages beside physical limitations of losing a limb, in particular a hand would prevent the individual performing their daily activities. Human hand is an extraordinary gripper which helps not only grasp objects but also obtain critical information from the objects being grasp and deliver important information from tactile feedback. Rehabilitation methods along with use of a robotic hand prosthesis, combine multiple means such as virtual reality platforms. Your role is to develop a hand avatar for a human hand in a platform such as Blender in combination with a data glove to control the virtual hand.

Reserach Group

AMBER

Principal supervisor

Dr Rahim Mutlu

Co-Supervisor

Prof Gursel Alici

Project description

Interface between the actuator (eg. an electric motor) and the load had been expected to be as stiff as possible in order to perform robotic tasks with high accuracy and precision. However, such robotic systems are not compatible for near-human environment which brings series elastic actuator in an advantageous position. While elastic component provide safer human-machine interface, ability to change stiffness of the actuator is critical for wearable robots. Your role is to design a compact variable stiffness mechanism that can be incorporated into existing exoskeleton applications.

Reserach Group

AMBER

Principal supervisor

Dr Rahim Mutlu

Co-supervisor

Prof Gursel Alici

Project description

Rehabilitation of stroke patients is a highly multidimensional procedure with requirement of excessive repetition of therapeutic exercises. With regards to recent literature studies, robotic rehabilitation has great potential to provide such multidimensional rehabilitation needs of stroke patients. You role is to optimize wearability of a Knee Rehabilitation Robot which is currently in operation to ensure effectiveness of the rehabilitation robot.

Research Group

AMBER

Principal supervisor

Dr Rahim Mutlu

Co-supervisor

Prof Gursel Alici