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Australian State/Territory : QLD
Research Topic : Food Web
Field of Research : Process Control And Simulation
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Process Control And Simulation (3)
Chemical Engineering (2)
Food Processing (2)
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Grain mill products, starch and starch products (incl. sugar, bakery products) (2)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0211915

    Funder
    Australian Research Council
    Funding Amount
    $101,304.00
    Summary
    Microstructure and Rheology of Starch-Gelatine confectionery products as a function of manufacturing process. We propose to develop a novel continuous extrusion process for manufacturing confectionery jellies. Jellies are traditionally manufactured in a multi-step labour and capital-intensive batch process with inter-batch variability and difficult to automate. Continuous processes offer many advantages including high throughput, efficiency, straightforward automation including quality monitorin .... Microstructure and Rheology of Starch-Gelatine confectionery products as a function of manufacturing process. We propose to develop a novel continuous extrusion process for manufacturing confectionery jellies. Jellies are traditionally manufactured in a multi-step labour and capital-intensive batch process with inter-batch variability and difficult to automate. Continuous processes offer many advantages including high throughput, efficiency, straightforward automation including quality monitoring and control. They are little used in this industry because of the inability to relate product requirements through fundamental microstructural properties to processing conditions. This project addresses these key technical obstacles to gain the competitive advantage of continuous extrusion processing, through advanced mathematical modelling informed by experimentation. The proposed techniques derive from advanced polymer processing and characterisation capabilities.
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    Funded Activity

    Linkage Projects - Grant ID: LP0669527

    Funder
    Australian Research Council
    Funding Amount
    $164,000.00
    Summary
    Advanced Stability Sensor for Anaerobic Digestion Processes. Australia is firmly committed to energy reduction and production, where possible, renewable energy production. Anaerobic digestion is the only in-use wastewater treatment option that not only can have net zero energy consumption, but that actually produces energy. This energy is from renewable carbon sources is therefore a zero contributor to greenhouse gases. Australia has some of the strongest environmental limit laws in the world. .... Advanced Stability Sensor for Anaerobic Digestion Processes. Australia is firmly committed to energy reduction and production, where possible, renewable energy production. Anaerobic digestion is the only in-use wastewater treatment option that not only can have net zero energy consumption, but that actually produces energy. This energy is from renewable carbon sources is therefore a zero contributor to greenhouse gases. Australia has some of the strongest environmental limit laws in the world. While this is reasonable - given our sensitive environment -assisting industry in meeting those limits in a cost effective manner is a priority. Given sufficient process stability and transparency, anaerobic digestion is a low capital and operating cost option.
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    Funded Activity

    Linkage Projects - Grant ID: LP0230710

    Funder
    Australian Research Council
    Funding Amount
    $67,635.00
    Summary
    Developing a smart supervisory control system for pan stage operations in sugar factories. This project aims to develop a prototype smart supervisory control system for pan stage crystallisation operations in raw sugar processing. Intelligent systems technologies will be tailored to provide a standardised approach for pan operations by using key process measurements and combining them with the collective expertise and knowledge of pan operators. This project will lead to a significant advance in .... Developing a smart supervisory control system for pan stage operations in sugar factories. This project aims to develop a prototype smart supervisory control system for pan stage crystallisation operations in raw sugar processing. Intelligent systems technologies will be tailored to provide a standardised approach for pan operations by using key process measurements and combining them with the collective expertise and knowledge of pan operators. This project will lead to a significant advance in the development of intelligent systems techniques for industrial applications and provide a better decision making strategy for pan stage operations with the benefit of reduced costs of sugar manufacture and increased profitability of the Australian sugar industry.
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