Dr David Bradney

Dr David Bradney

Consulting Engineer (TUNRA Bulk Solids) & Conjoint Lecturer

School of Engineering

Career Summary

Biography

Dr David Bradney completed a Mechanical Engineering degree (2008-2011) and PhD (2013-2016) at Newcastle University in Wind turbine performance in turbulent flows. Dr Bradney is currently employed as a consulting engineer at TUNRA Bulk Solids, working on a range of industry problems in the material handling sector.

In addition, Dr Bradney is a Conjoint Lecturer in Mechanical Engineering at the University of Newcastle, Lecturing in Computational Fluid Dynamics, Mechanical Engineering design, and Finite Element Analysis.


Qualifications

  • Doctor of Philosophy, University of Newcastle
  • Bachelor of Mechanical Engineering (Honours), University of Newcastle

Keywords

  • Bulk Materials
  • Computational Fluid dynamics
  • Finite Element Modelling
  • Wind Energy

Fields of Research

Code Description Percentage
091305 Energy Generation, Conversion and Storage Engineering 90
091399 Mechanical Engineering not elsewhere classified 10

Professional Experience

UON Appointment

Title Organisation / Department
Casual Academic University of Newcastle
School of Engineering
Australia

Academic appointment

Dates Title Organisation / Department
19/02/2018 -  Conjoint Lecturer Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Mechanical Engineering
Australia
1/03/2017 - 18/02/2018 Research Associate Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Mechanical Engineering
Australia
1/06/2016 - 18/02/2018 Associate Lecturer Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Mechanical Engineering
Australia

Professional appointment

Dates Title Organisation / Department
19/01/2018 -  Consulting Engineer TUNRA Bulk Solids

Teaching

Code Course Role Duration
MECH4580 Computer Aided Engineering and Manufacturing
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Lecturer 1/01/2018 - 31/07/2019
Mech4400 Computational Mechanics
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Tutor 1/06/2014 - 31/12/2018
MECH4580 Computer Aided Engineering and Manufacturing
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Course coordinator 1/01/2017 - 31/07/2017
Mech3110 Mechanical Engineering Design 2
Faculty of Engineering and Built Environment - The University of Newcastle (Australia)
Course coordinator 1/06/2016 - 31/12/2017
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (1 outputs)

Year Citation Altmetrics Link
2019 Bradney D, Evans S, Clausen P, 'The Effect of Tail Fin Size on the Yaw Performance of Small Wind Turbines Operating in Unsteady Flow', Wind Energy Exploitation in Urban Environment: TUrbWind 2018 Colloquium, Springer Nature, Cham, Switzerland 55-70 (2019) [B1]
DOI 10.1007/978-3-030-13531-7_4
Co-authors Samuel Evans, Philip Clausen

Journal article (5 outputs)

Year Citation Altmetrics Link
2019 Bradney D, Evans S, Chu M, Clausen P, 'A low-cost, high-speed, multi-channel Arduino-based data acquisition system for wind turbine systems', Wind Engineering, (2019)

© The Author(s) 2019. Commercially available high-speed multi-channel data acquisition systems can be expensive to purchase and are generally difficult to tailor to specific appli... [more]

© The Author(s) 2019. Commercially available high-speed multi-channel data acquisition systems can be expensive to purchase and are generally difficult to tailor to specific applications. Arduino is an open-source prototyping platform that facilitates the design and build of computer controlled systems for a wide variety of uses. This article describes in detail several separate high-speed data acquisition systems that have been integrated to simultaneously acquire data from sensors on the rotor, platform and tower of an operating 5 kW horizontal-axis wind turbine along with wind speed and direction data. Due to the presence of strong magnetic fields at the turbine site, turbine direction and yaw rate were measured using high-definition visual footage from a GoPro® and analysed in a MATLAB script. The processed data from the GoPro system was time-aligned with data from the Arduino-based systems allowing the response of the turbine to be analysed in detail.

DOI 10.1177/0309524X19862753
Co-authors Philip Clausen, Samuel Evans
2018 Evans SP, Bradney DR, Clausen PD, 'Development and experimental verification of a 5 kW small wind turbine aeroelastic model', Journal of Wind Engineering and Industrial Aerodynamics, 181 104-111 (2018) [C1]
DOI 10.1016/j.jweia.2018.08.011
Citations Scopus - 2Web of Science - 1
Co-authors Philip Clausen, Samuel Evans
2018 Evans SP, Bradney DR, Clausen PD, 'Assessing the IEC simplified fatigue load equations for small wind turbine blades: How simple is too simple?', Renewable Energy, 127 24-31 (2018) [C1]

© 2018 It is well known that wind turbine blades are fatigue critical, with much literature and methodologies available for assessing fatigue loading of large wind turbine blades.... [more]

© 2018 It is well known that wind turbine blades are fatigue critical, with much literature and methodologies available for assessing fatigue loading of large wind turbine blades. Little research effort has been directed at assessing the fatigue life of small wind turbines which operate at higher rotational speeds and are subject to highly unsteady aerodynamic loading. In this paper the simplified load model proposed in IEC 61400.2 is used to determine the fatigue life of a small 5 kW wind turbine blade. This estimated life is compared to that determined from both measured operational data and aeroelastic simulations. Fatigue life was estimated by the standard at 0.09 years, compared to 9.18 years from field measurements and 3.26 years found via aeroelastic simulations. All methods fell below the 20 year design life, with the standard over-conservative by a factor of 102 and 36 for measurements and simulations respectively. To the best of the authors¿ knowledge these three fatigue methods specified in the standard have not been quantitatively compared and assessed for small wind turbines. Results are of importance to small wind turbine developers as they seek best practice for determining blade fatigue life. Shortcomings of the IEC methodology are detailed and discussed.

DOI 10.1016/j.renene.2018.04.041
Citations Scopus - 5Web of Science - 1
Co-authors Samuel Evans, Philip Clausen
2017 Bradney DR, Davidson A, Evans SP, Wueringer BE, Morgan DL, Clausen PD, 'Sawfishes stealth revealed using computational fluid dynamics', JOURNAL OF FISH BIOLOGY, 90 1584-1596 (2017) [C1]
DOI 10.1111/jfb.13255
Citations Scopus - 3Web of Science - 2
Co-authors Philip Clausen, Samuel Evans
2017 Evans SP, KC A, Bradney DR, Urmee TP, Whale J, Clausen PD, 'The suitability of the IEC 61400-2 wind model for small wind turbines operating in the built environment', Renewable Energy and Environmental Sustainability, 2 (2017) [C1]
DOI 10.1051/rees/2017022
Co-authors Philip Clausen, Samuel Evans
Show 2 more journal articles

Conference (3 outputs)

Year Citation Altmetrics Link
2016 Kesby JE, Bradney DR, Clausen PD, 'Determining Diffuser Augmented Wind Turbine performance using a combined CFD/BEM method', SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2016), Munich, GERMANY (2016)
DOI 10.1088/1742-6596/753/8/082033
Citations Scopus - 2Web of Science - 1
Co-authors Philip Clausen
2016 Evans SP, Bradney DR, Clausen PD, 'Aeroelastic measurements and simulations of a small wind turbine operating in the built environment', Journal of Physics: Conference Series, Munich, Germany (2016) [E1]
DOI 10.1088/1742-6596/753/4/042013
Citations Scopus - 3Web of Science - 3
Co-authors Philip Clausen, Samuel Evans
2016 Bradney DR, Evans SP, Da Costa MSP, Clausen PD, 'Comparison of computational modelling and field testing of a small wind turbine operating in unsteady flows', Journal of Physics: Conference Series, Munich, Germany (2016) [E1]
DOI 10.1088/1742-6596/753/8/082029
Citations Scopus - 4Web of Science - 3
Co-authors Philip Clausen, Samuel Evans

Thesis / Dissertation (1 outputs)

Year Citation Altmetrics Link
2017 Bradney D, Measured and Predicted performance of a small wind turbine operating in unsteady flow, The University of Newcastle (2017)
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Grants and Funding

Summary

Number of grants 6
Total funding $360,806

Click on a grant title below to expand the full details for that specific grant.


20192 grants / $88,492

To develop a new Nivek portable Conveyor "All Purpose" maintenance technology$44,246

Funding body: Nivek Industries Pty Ltd

Funding body Nivek Industries Pty Ltd
Project Team Professor Craig Wheeler, Associate Professor Phil Clausen, Mr Michael Carr, Doctor David Bradney
Scheme Entrepreneurs' Programme: Innovation Connections
Role Investigator
Funding Start 2019
Funding Finish 2019
GNo G1900159
Type Of Funding C3111 - Aust For profit
Category 3111
UON Y

To develop a new Nivek portable Conveyor "All Purpose" maintenance technology$44,246

Funding body: Department of Industry, Innovation and Science

Funding body Department of Industry, Innovation and Science
Project Team Professor Craig Wheeler, Associate Professor Phil Clausen, Mr Michael Carr, Doctor David Bradney
Scheme Entrepreneurs' Programme: Innovation Connections
Role Investigator
Funding Start 2019
Funding Finish 2019
GNo G1900186
Type Of Funding C3111 - Aust For profit
Category 3111
UON Y

20182 grants / $170,000

Tailings Management - Dewatering of Slurry Tailings at Disposal Site$150,000

Funding body: Australian Coal Research Limited

Funding body Australian Coal Research Limited
Project Team Professor Craig Wheeler, Doctor Timothy Donohue, Doctor Thomas Bunn, Doctor Ognjen Orozovic, Mr Michael Carr, Doctor David Bradney, Pal, Bipin
Scheme Australian Coal Association Research Program (ACARP)
Role Investigator
Funding Start 2018
Funding Finish 2019
GNo G1701303
Type Of Funding Aust Competitive - Non Commonwealth
Category 1NS
UON Y

Develop methodologies to improve the safety, quality and efficiency of rail tensing/welding tech.$20,000

Funding body: Melvelle Equipment Corporation

Funding body Melvelle Equipment Corporation
Project Team Professor Craig Wheeler, Associate Professor Phil Clausen, Doctor David Bradney
Scheme Entrepreneurs' Programme: Innovation Connections
Role Investigator
Funding Start 2018
Funding Finish 2018
GNo G1801090
Type Of Funding C3111 - Aust For profit
Category 3111
UON Y

20172 grants / $102,314

Develop a safe and efficient means of stressing rail on plinth track$52,314

Funding body: Melvelle Equipment Corporation

Funding body Melvelle Equipment Corporation
Project Team Professor Craig Wheeler, Associate Professor Phil Clausen, Doctor David Bradney
Scheme Entrepreneurs' Programme: Innovation Connections
Role Investigator
Funding Start 2017
Funding Finish 2017
GNo G1700484
Type Of Funding C3111 - Aust For profit
Category 3111
UON Y

Development of a Novel Rail Pre-tensioning System$50,000

Funding body: Department of Industry, Innovation and Science

Funding body Department of Industry, Innovation and Science
Project Team Professor Craig Wheeler, Associate Professor Phil Clausen, Doctor David Bradney
Scheme Entrepreneurs' Programme: Innovation Connections
Role Investigator
Funding Start 2017
Funding Finish 2017
GNo G1700590
Type Of Funding C2110 - Aust Commonwealth - Own Purpose
Category 2110
UON Y
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Dr David Bradney

Positions

Consulting Engineer
TUNRA Bulk Solids
Research and Innovation Division

Conjoint Lecturer
School of Engineering
Faculty of Engineering and Built Environment

Casual Academic
School of Engineering
Faculty of Engineering and Built Environment

Contact Details

Email david.bradney@newcastle.edu.au
Phone (02) 40339130

Office

Room A401
Building NIER A Block
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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