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Innovative Vibration Isolation Unit with Quasi-Zero Dynamic Stiffness

Expected Results:
The project focuses on the development of systematic design and analysis methods combining quasi-zero-stiffness vibration isolation theory with bio-inspired design to create a novel isolation system.The combination of bio-inspired structures and negative stiffness structures will produce extraordinary vibration isolation performance to prevent the vibrations transmitted to operator platforms and seats. The anticipated outcomes of the project will be:
  1. Systematic design methods and principles for developing innovative vibration isolation systems;
  2. A prototype of the innovative isolation unit; and
  3. Evaluation of the vibration isolation performance of the unit using extensive laboratory tests.
It is expected that the developed isolation system (unit), with appropriate modification for specific applications will be incorporated in the structure of the new equipment while also being adaptable to retrofit existing equipment.
Ref Number
20651
Professor
Associate Professor Jinchen Ji - University of Technology, Sydney
Start date
10 December 2018

Estimated end date
31 December 2019

Obesity and NSW Coal Mining

Expected Results:
This research will provide evidence of the extent of the problem of overweight and obesity within the NSW coal mining industry. It will provide information on the current situation with regards to the management of overweight and obesity within the NSW Coal Mining industry at a site level, with an understanding of what weight management initiatives have been trialled, how these have been received by employees, how they have been evaluated and measured and what outcomes have been achieved at a site level.This research will provide valuable information about the challenges and benefits of current weight management initiatives within the NSW Coal Mining industry. This will inform implementation of appropriate programs, with a shift from an ad hoc site by site approach to engagement of key stakeholders in developing a coordinated, comprehensive, industry wide approach to the management of overweight and obesity in the future.
Ref Number
20648
Professor
Associated Professor Carole James, University of Newcastle
Start date

Estimated end date
21 February 2019

Development of Automated Diagnostic Tools for Pneumoconiosis Detection from Chest X-Ray Radiographs

Expected Results:
The expected results of the proposed project include a prognostic software package which can be used for the automatic mass diagnostic screening of chest X-ray radiographs to detect, evaluate and monitor pneumoconiosis. Given the black lung can continue to progress after coal dust exposure ceases and severe symptoms can emerge up to 15 years later, early detection and tracking the progress of pneumoconiosis are important for taking measures and precautions, and treating the complications caused by the disease. It is expected that the results produced from the proposed software package will be comparable to experienced radiologists, thus potentially hastening vital diagnosis and treatment capabilities.
Ref Number
20647
Professor
Dadong Wang, CSIRO
Start date

Estimated end date
17 June 2019

Managing whole-body vibration associated with underground coal mining equipment

Expected Results:
By the end of the project we expect to:
  • Develop and evaluate iOS and server software which will allow continuous monitoring and analysis of earth‐moving equipment operator vibration exposures; and.
  • Utilise this information to obtain an enhanced understanding of the sources of elevated whole-body vibration and impact loads associated with haul truck and dozer operations at surface coal mines. The iOS and server software will be made freely available for download.
Ref Number
20643
Professor
Robin Burgess Limerick, University of Queensland
Start date

Estimated end date
17 April 2019

Respiratory Protection: Do PAPRs adequately protect workers against DPM?

Expected Results:
The research will determine whether currently utilised powered air purifying respirators (PAPRs) effectively filter out Diesel Particulate Matter and provide worker protection; by challenging PAPR filters used in mining workplaces with DPM; and by measuring the EC and the sizes of particles that are penetrating the filters to determine whether that poses an additional health risk for workers.
Ref Number
20641
Professor
Jane Whitelaw, University of Wollongong
Start date
02 December 2016

Estimated end date
17 February 2019