Zhongxiao’s research focus has been wear analysis and machine condition monitoring. Her main research interests include 3D image acquisition, processing and quantitative analysis of wear in mechanical and bio-engineering systems; development and application of artificial intelligent techniques for prediction of the performance and remaining useful life of mechanical systems; integration of multiple techniques for health monitoring.
Field of Research (FoR)
Associate Professor Zhongxiao Peng has 20 years research experience in the fields of wear analysis and machine condition monitoring. A/Prof. Peng was awarded a PhD degree from the University of Western Australia (UWA) in 2000. She worked at James Cook University (JCU) as a lecturer, senior lecturer and associate professor in 1999-2011 and joined the School of Mechanical and Manufacturing Engineering at UNSW Sydney in August 2011. She leads the...view more
Associate Professor Zhongxiao Peng has 20 years research experience in the fields of wear analysis and machine condition monitoring. A/Prof. Peng was awarded a PhD degree from the University of Western Australia (UWA) in 2000. She worked at James Cook University (JCU) as a lecturer, senior lecturer and associate professor in 1999-2011 and joined the School of Mechanical and Manufacturing Engineering at UNSW Sydney in August 2011. She leads the Tribology and Machine Condition Monitoring research group at UNSW Sydney and works closely with EmProf. Robert (Bob) Randall, Dr Pietro Borghesani and Dr Wade Smith on a number of topics in the field of machine condition monitoring.
We are recruiting PhD students who are highly motivated and interested in solving technical challenges and developing advanced techniques in the fields of tribology and/or machine condition monitoring. Tuition Fee Scholarship plus a Research stipend is available for strong applicants.
- Wear analysis of mechanical and bio-engineering systems
- 3D image acquisition, processing and quantitative characterisation of worn surfaces and wear debris at nano- and micro-scale
- Wear debris and vibration-based techniques for fault detection, diagnostics and prognostics of machinery
- Development and application of artificial intelligent techniques for simulating and analysing the degradation process of mechanical systems/components
A/Prof. Peng collaborates with a number of active researchers from UNSW Sydney, Queensland University of Technology, The University of Sydney and DST Group. Internationally she has or had joint research projects and/or grants with Wuhan University of Technology (WUT, China), National University of Singapore, The University of Leeds (UK), University of Huddersfield (UK), Xi’an Jiaotong University (China), Tsinghua University (China).
The Tribology and Machine Condition Monitoring group has a wide range of research facilities for wear testing, wear analysis and machine condition monitoring. They include gearboxes, an engine testing rig, a friction rig, a tribometer, high quality microscopes (optical and laser scanning microscopes), a number of quantitative image analysis packages, and extensive vibration instrumentation (including for acoustic emissions) and advanced signal processing packages developed in-house.
UNSW has many state-of-the-art image acquisition and examination facilities including laser scanning confocal microscopes, scanning electron microscopes, atomic force microscopes.
Awards and Service to the Profession
- 8 Australian Research Council (ARC) projects in 2000-2018
- 5 National Natural Science Foundation of China (NSFC) projects with universities in China.
- Acting as an assessor for ARC and international research funding organisations
- A regular reviewer for more than 10 international journals
- Integrating wear debris and vibration analyses for the prediction of wear in spur gears (with EmProf. Robert Randall and Dr Pietro Borghesani)
- The estimation of gear surface roughness using vibration, acoustic emissions and wear analysis techniques (with EmProf. Robert Randall and Dr Wade Smith)
- Prognostics of rolling element bearings using experimental and simulation methods (with Dr Pietro Borghesani)
- Diagnostics in a planetary gearbox under variable speed conditions (with Dr Wide Smith)
- Numerical study of wear and wear debris generation
- Improvement of the wear resistance of bio-materials (e.g., UHMWPE, dental materials)
- Understanding and development of advanced meta-acoustic absorbing materials for marine applications (with Professor Guan Yeoh)
Applying for a PhD position: Please email firstname.lastname@example.org with a copy of your CV and academic transcript(s).