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Field of Research : Manufacturing Engineering
Field of Research : Industrial Engineering
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  • Funded Activity

    Linkage Projects - Grant ID: LP0455693

    Funder
    Australian Research Council
    Funding Amount
    $169,040.00
    Summary
    Condition monitoring of large, horizontal low speed slew bearings. Remote sensing has often been used to collect vibration data .To date, no current analysis technique has produced results that appear consistent due to the low speed (less than 1 Hz), and the acyclic characteristic of the rolling element anti-friction bearing. The contact vibration energy between rolling elements and races is low due to the low speed of the motion, and thus the vibration produced is masked by the general runnin .... Condition monitoring of large, horizontal low speed slew bearings. Remote sensing has often been used to collect vibration data .To date, no current analysis technique has produced results that appear consistent due to the low speed (less than 1 Hz), and the acyclic characteristic of the rolling element anti-friction bearing. The contact vibration energy between rolling elements and races is low due to the low speed of the motion, and thus the vibration produced is masked by the general running vibration and is not readily distinguishable from the background vibration of the rotating structure. The aim of this project is to use remote sensors to collect information about the state of horizontal slew bearings and develop an analysis technique that will predict the short to medium term behaviour of horizontal slew bearings. The technique has the potential of saving $3.2 million in loss production per an unplanned breakdown of a slew bearing in a steel plant.
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    Funded Activity

    Linkage Projects - Grant ID: LP0349368

    Funder
    Australian Research Council
    Funding Amount
    $48,000.00
    Summary
    Analysis of complex systems for the condition monitoring of a rolling mill. A knowledge of the relationships between input variables and measured output states of a rolling mill should enable significant improvements to dimensional stability of the product being produced and to an increase in availability of the rolling mill. The aim of this project is to develop a methodology for developing relationships between input variables that contribute to the measured output states of fully assembled r .... Analysis of complex systems for the condition monitoring of a rolling mill. A knowledge of the relationships between input variables and measured output states of a rolling mill should enable significant improvements to dimensional stability of the product being produced and to an increase in availability of the rolling mill. The aim of this project is to develop a methodology for developing relationships between input variables that contribute to the measured output states of fully assembled rolling mill stands and this enable the operator to identify and avoid undesirable mill states.
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    Funded Activity

    Linkage Projects - Grant ID: LP0882691

    Funder
    Australian Research Council
    Funding Amount
    $356,052.00
    Summary
    Mechanisms of mixed lubrication in rolling. Advanced manufacturing is always a major wealth-creating sector in developed economies. To catch up the revolution in rolling industry, Australia must develop her own technologies, train her own professionals of high competence, and thus increase her share in the international market. The proposed research will enhance Australia's record in production-orientated fundamental research in the field of metal rolling, and stimulate the growth of the world-c .... Mechanisms of mixed lubrication in rolling. Advanced manufacturing is always a major wealth-creating sector in developed economies. To catch up the revolution in rolling industry, Australia must develop her own technologies, train her own professionals of high competence, and thus increase her share in the international market. The proposed research will enhance Australia's record in production-orientated fundamental research in the field of metal rolling, and stimulate the growth of the world-class Australian industry, BlueScope Steel, and train young engineers most needed by the country. The research outcome will bring about long-term benefit to Australia.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455753

    Funder
    Australian Research Council
    Funding Amount
    $230,431.00
    Summary
    Laser-based dynamic measurements, model identification and error compensation for multi-arm robotic pre-fabrication of structural components. The aim is to establish methodologies for laser-based dynamic measurements, accurate model identification and error correction in multi-arm cooperative robotic manipulation systems. The expected outcomes include development of enabling technologies and the world's first automated fabrication system for structural timber components. The novel methodologi .... Laser-based dynamic measurements, model identification and error compensation for multi-arm robotic pre-fabrication of structural components. The aim is to establish methodologies for laser-based dynamic measurements, accurate model identification and error correction in multi-arm cooperative robotic manipulation systems. The expected outcomes include development of enabling technologies and the world's first automated fabrication system for structural timber components. The novel methodologies established will increase safety, and improve and automate the fabrication of wall frames, roof trusses, and floor and ceiling panels for housing, industrial and commercial projects within Australia and overseas. Other application areas include multi-arm manufacturing and handling of large components, materials handling in hazardous environments, and robotic servicing tasks in remote places.
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    Funded Activity

    Discovery Projects - Grant ID: DP0451081

    Funder
    Australian Research Council
    Funding Amount
    $208,480.00
    Summary
    High Performance Twist Drill Design and Drilling Operations for Machining Mould Steel. In this project a high performance drill point design, based on low drilling forces and high drill-life criteria when machining mould steel will be developed together with a computer application software for drilling force predictions, based on the ¡®unified-generalised mechanics of cutting approach¡¯, and optimal drilling feed and speed selection for minimum cost and time per hole, based on a multi-constraint .... High Performance Twist Drill Design and Drilling Operations for Machining Mould Steel. In this project a high performance drill point design, based on low drilling forces and high drill-life criteria when machining mould steel will be developed together with a computer application software for drilling force predictions, based on the ¡®unified-generalised mechanics of cutting approach¡¯, and optimal drilling feed and speed selection for minimum cost and time per hole, based on a multi-constraint drilling optimization analysis. Particular attention will be given to the manufacture of the drill point geometry. It is anticipated that the application software will enable the drill design, manufacture, performance and drilling conditions to be integrated.
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    Funded Activity

    Linkage Projects - Grant ID: LP0991175

    Funder
    Australian Research Council
    Funding Amount
    $235,000.00
    Summary
    Distributed Real-time Multiobjective Scheduling for Joinery Manufacturing Processes using Discrete Event Simulation. Australia's furniture manufacturing industry is a major contributor to the economic wealth of the Australian economy with an annual $9.5 billion turnover. The Australian Furnishing Industry Association (AFIA) estimates that there are 15,000 furniture design and manufacturing firms, employing 66,000 people. However, Australian manufacturers are experiencing high levels of fixed cos .... Distributed Real-time Multiobjective Scheduling for Joinery Manufacturing Processes using Discrete Event Simulation. Australia's furniture manufacturing industry is a major contributor to the economic wealth of the Australian economy with an annual $9.5 billion turnover. The Australian Furnishing Industry Association (AFIA) estimates that there are 15,000 furniture design and manufacturing firms, employing 66,000 people. However, Australian manufacturers are experiencing high levels of fixed cost (associated with plant and equipment) and low equipment-utilisation ratio and long delivery time. This research aims to enable Australian manufacturers to stay competitive in the dynamic global market, by providing a better strategy to allocate their constrained resources including workforces and facilities.
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    Funded Activity

    Discovery Projects - Grant ID: DP0344813

    Funder
    Australian Research Council
    Funding Amount
    $138,000.00
    Summary
    Predictive Mechanics of Cutting Models for Forces and Torque in Machine Tapping Operations with Straight and Helical Flute Taps. This project is aimed at developing a fundamental understanding of the cutting process as well as mechanics of cutting mathematical models and software for reliable predictions of all the force components, torque and power in machine tapping of both wrought and sintered metallic materials with straight and helical fluted taps. This investigation will provide useful fun .... Predictive Mechanics of Cutting Models for Forces and Torque in Machine Tapping Operations with Straight and Helical Flute Taps. This project is aimed at developing a fundamental understanding of the cutting process as well as mechanics of cutting mathematical models and software for reliable predictions of all the force components, torque and power in machine tapping of both wrought and sintered metallic materials with straight and helical fluted taps. This investigation will provide useful fundamental and practical information and data on the tapping operations, renowned as 'some of the most neglected operations in machining research' and as 'bottleneck operations in practice'. This project heads towards satisfying the internationally recognised pressing need for quantitatively reliable machining performance data and equations.
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