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Field of Research : Control Engineering
Socio-Economic Objective : Sheet metal products
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  • Funded Activity

    Discovery Projects - Grant ID: DP0450671

    Funder
    Australian Research Council
    Funding Amount
    $180,000.00
    Summary
    Developing Intelligent Systems for Manufacturing Control. The primary aim of this project is to develop control systems that interactively learn from the environment to increase the capabilities and performance of manufacturing processes. To achieve this we propose to develop manufacturing control systems that can automatically adapt to the changes in the process under control. Since these systems are expected to operate with limited or no human intervention, they need to be intelligent enough t .... Developing Intelligent Systems for Manufacturing Control. The primary aim of this project is to develop control systems that interactively learn from the environment to increase the capabilities and performance of manufacturing processes. To achieve this we propose to develop manufacturing control systems that can automatically adapt to the changes in the process under control. Since these systems are expected to operate with limited or no human intervention, they need to be intelligent enough to be able to learn from a changing environment and adapt correspondingly in order to achieve and maintain performance objectives.
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    Funded Activity

    Linkage Projects - Grant ID: LP0560270

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Nonlinear modelling, analysis and prediction of optimal conditions for cold roll forming. This project investigates fundamental analytical and experimental aspects of the highly nonlinear process of cold roll forming of flat steel strip to shaped product in order to gain predictive understanding and determine optimal process conditions. The project aims to develop an innovative software system that will permit operators to balance and optimize mill productivity, energy consumption, mill downtim .... Nonlinear modelling, analysis and prediction of optimal conditions for cold roll forming. This project investigates fundamental analytical and experimental aspects of the highly nonlinear process of cold roll forming of flat steel strip to shaped product in order to gain predictive understanding and determine optimal process conditions. The project aims to develop an innovative software system that will permit operators to balance and optimize mill productivity, energy consumption, mill downtime, and product change over times and facilitate the development of new products
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    Funded Activity

    Linkage Projects - Grant ID: LP0883689

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Optimal transitional surface for a new continuous press forming process. This project addresses the National Research Priority - Frontier Technologies for Building and Transforming Australian Industries through smart information use. This project aims to gain fundamental scientific understanding of a manufacturing process with the aim of developing a tool that will enhance existing manufacturing processes and controls from an 'art of expertise' to a scientific understanding and improvement. Th .... Optimal transitional surface for a new continuous press forming process. This project addresses the National Research Priority - Frontier Technologies for Building and Transforming Australian Industries through smart information use. This project aims to gain fundamental scientific understanding of a manufacturing process with the aim of developing a tool that will enhance existing manufacturing processes and controls from an 'art of expertise' to a scientific understanding and improvement. This manufacturing area represents a niche market for Australian manufacturing and the development of a product that enhances productivity and reduces costs has the potential to elevate Australian manufacturers in the export market and create economic benefit for Australia.
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    Showing 1-3 of 3 Funded Activites

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