Dr Jayne O'Shea
School of Engineering
- Phone:(02) 40339127
Tightropes and thermodynamics
Gracious and tenacious in equal measure, NIER postgraduate mechanical engineering student Jayne O'Shea is seamlessly striking the elusive balance between work, motherhood and play.
Jayne O'Shea knows how to juggle responsibilities – and juggle them well. A living, breathing embodiment of the term 'multitask,' the Mudgee native is a new parent, home renovator, business partner, industry consultant, and part-time research assistant with the Centre for Bulk Solids and Particulate Technologies. In a few short months, she'll be able to add 'Doctor' to this laundry list of titles and duties too.
"It's been a huge couple of years," the impressive all-rounder acknowledges.
"My husband and I ripped down half of our house and set up a carpentry company while I was pregnant."
"I've been studying throughout as well."
Though comically admitting the lengthy period has been "a little torturous," Jayne avows it's also been one of the most memorable. She singles out the completion of a PhD as perhaps her "biggest academic accomplishment," wrapping up five "challenging but rewarding" years of work alongside some of NIER's boldest and brightest translational researchers in August 2015.
"I chose to team up with the Institute for a number of reasons," the keen learner comments.
"For one thing, its multidisciplinary, 'two heads are better than one' approach allows collaborators to focus holistically on the issues at hand."
"Together, we're able to produce and deliver innovative solutions in line with the energy reform agendas of the government and Hunter community."
"This cross-fertilisation of ideas similarly enabled me to advance my own research, with many in-house, senior field experts more than willing to share their knowledge and experience when needed."
Jayne began her PhD in 2010 at the University of Newcastle. Examining rubber compounds used in overland conveyor systems, the ambitious academic sought to find new ways to reduce power consumption and belt tension, and produce sizeable capital and operation cost savings.
"I wanted to develop a numerical model that calculates indentation rolling resistance based on dielectric relaxation properties instead of the commonly-used mechanical relaxation properties," she explains.
"The former are more accurate, have faster testing times and are able to be repeated easily."
Funded by a linkage grant with the Australian Research Council, Laing O'Rourke, Conveyor Dynamics Inc. and Veyance Technologies, Jayne conducted comparative studies both here and overseas.
"At the beginning of my candidature, I spent a couple of weeks in the United States observing different belt manufacturing plants," she recalls.
"I also spent a lot of time at NIER, taking full advantage of its technical laboratories, industrial-scale pilot plant workshops and large-scale test beds."
"Essentially, I modelled the relaxation properties of rubber to predict energy use levels."
"I then determined the accuracy of my calculations by comparing them to experimental data from test work performed on equipment at the Institute."
Acutely aware of the widespread impact and myriad implications of this research, Jayne is aspiring to have her thesis, once the degree is conferred, published and disseminated.
"My numerical model is able to rank rubber compounds in the correct order of their rolling resistance performance and calculate a reasonable prediction of power consumption for overland conveyors," she reveals.
"The indentation of the bottom cover of a belt as it moves over the idler is responsible for up to 60% of total energy use."
"It's really quite remarkable."
Inform and transform
When asked where she sees her professional self in the not-so-distant future, Jayne is quick to answer.
"I would like to be a part of making things more economic and efficient," she shares.
"There's a lot of room for improvement in materials handling."
"The more accurate analytical predictions are, for example, the more cost-effective the subsequent designs and design implementations."
Dr O’Shea completed a Bachelor degree in Mechanical Engineering at the University of Newcastle (2005- 2009), where she graduated with first class honours and the University Medal.
Dr O’Shea completed her PhD studies at Newcastle University (2010-2015), examining belt conveying system energy prediction models using the relaxation properties of rubber. Dr O’Shea developed a numerical model that calculates indentation rolling resistance based on dielectric relaxation properties instead of the commonly-used mechanical relaxation properties.
Dr O’Shea has continued to work as a Research Associate with the University of Newcastle and is affiliated with TUNRA Bulk Solids. She has been involved in designing test facilities that are in operation at NIER and currently performs research using numerical modelling to solve industrial problems.
- Doctor of Philosophy, University of Newcastle
- Bachelor of Engineering (Mechanical) (Hons), University of Newcastle
- Belt Conveyor Systems
- Bulk Material Handling
- Discrete Element Modelling (DEM)
- Engineering Computations
- Engineering Design
- Material Characterisation
Fields of Research
|091399||Mechanical Engineering not elsewhere classified||100|
|Title||Organisation / Department|
|Research Associate||University of Newcastle
School of Engineering
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (3 outputs)
Chen W, Biswas S, Roberts A, O'Shea J, Williams K, 'Abrasion wear resistance of wall lining materials in bins and chutes during iron ore mining', International Journal of Mineral Processing, 167 42-48 (2017) [C1]
O Shea JI, Wheeler CA, 'Dielectric relaxation studies of conveyor belt compounds to determine indentation rolling resistance', International Journal of Mechanics and Materials in Design, 1-15 (2016)
Â© 2016 Springer Science+Business Media Dordrecht The accuracy of analytical models used to predict the indentation rolling resistance of belt conveying systems depends on the met... [more]
Â© 2016 Springer Science+Business Media Dordrecht The accuracy of analytical models used to predict the indentation rolling resistance of belt conveying systems depends on the method of testing the material properties. Due to the limitations and inconsistency of obtaining material properties using mechanical methods, it is becoming more common for viscoelastic behaviour to be represented by non-mechanical models, such as dielectric models. Dielectric models can lead to the same mathematical predictions as mechanical models; however, the experimental work is highly accurate and can be performed over a much greater frequency range than mechanical testing. This paper introduces a dielectric energy loss model which uses dielectric methods to measure the viscoelastic material properties of the bottom cover of conveyor belt. The model is compared to actual indentation rolling resistance data obtained from tests performed at the University of Newcastle on a purpose built test facility.
O'Shea JI, Wheeler CA, Munzenberger PJ, Ausling DG, 'The influence of viscoelastic property measurements on the predicted rolling resistance of belt conveyors', Journal of Applied Polymer Science, (2014) [C1]
This article discusses how determining the viscoelastic properties of the cover material of a conveyor belt, using different rheological test modes, can result in significant diff... [more]
This article discusses how determining the viscoelastic properties of the cover material of a conveyor belt, using different rheological test modes, can result in significant differences in properties for the same material and testing conditions. The viscoelastic properties are applied to two mathematical models used to predict and compare the indentation rolling resistance performance of two rubber compounds. This article demonstrates how inaccuracies in the testing of the viscoelastic properties could result in a material with higher indentation rolling resistance properties being selected for a conveying system, making the power consumption of the system larger than necessary. Â© 2014 Wiley Periodicals, Inc.
Conference (2 outputs)
Munzenberger PJ, O'Shea JI, Wheeler CA, 'Approximating stress relaxation properties of rubber for indentation rolling resistance calculations', ICBMH 2013 - 11th International Conference on Bulk Materials Storage, Handling and Transportation (2013) [E1]
Wensrich CM, Goeke S, Best J, 'A momentum based discrete element model', ICMBH 2007. 9th International Conference on Bulk Materials Handling Storage, Handling and Transportation. Proceedings (2007) [E1]
Thesis / Dissertation (1 outputs)
|2015||O'Shea JI, Mechanical and Dielectric Relaxation Studies of Conveyor Belt Compounds to Determine Indentation Rolling Resistance Properties, The University of Newcastle (2015)|
Grants and Funding
|Number of grants||2|
Click on a grant title below to expand the full details for that specific grant.
20172 grants / $21,147
Flow properties and handleability of run-of-mine ores and minerals are heavily affected by their inherent moisture. In recent years, mining is increasingly occurring near or below the water table increasing inherent moisture volume. Excessive inherent moisture combine with higher clay content leads to severe handling problems creating increased cohesion and adhesion strength within the bulk. The rise in cohesive/adhesive strength in the bulk solids is due to the liquid bridges and the capillary pressures, which cause poor flowability in material handling systems.
This research studies the effect of additives, including coagulants, flocculants and surfactants on flow properties of wet sticky ores and minerals. Coagulants can be utilized to reduce sub-microscopic and microscopic particles by binding them together into larger aggregates. Charge-neutralized solids by coagulants can be further agglomerated by using flocculants. With the aid of surfactants, the surface tension of larger particles can be reduced to further liberate the water between particles, which effectively reduces cohesive and adhesive associated bulk strength.
Funding body: Faculty of Engineering and Built Environment, UON
|Funding body||Faculty of Engineering and Built Environment, UON|
A/prof Ken Williams, Dr Jie Guo, A/prof Olivier Buzzi, Dr Wei Chen, Dr Jayne O'shea
|Scheme||2017 Faculty Strategic pilot Grant|
|Type Of Funding||Internal|
Funding body: Cargill Australia Limited