ARDC Research Link Australia Research Link Australia   BETA Research
Link
Australia
  • ARDC Newsletter Subscribe
  • Contact Us
  • Home
  • About
  • Feedback
  • Explore Collaborations
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation

Need help searching? View our Search Guide.

Advanced Search

Current Selection
Field of Research : Process Control And Simulation
Socio-Economic Objective : Chemical fertilisers
Clear All
Filter by Field of Research
Chemical Engineering (4)
Chemical Engineering Design (4)
Process Control And Simulation (4)
Chemical Engineering Not Elsewhere Classified (2)
Interdisciplinary Engineering Not Elsewhere Classified (1)
Filter by Socio-Economic Objective
Chemical fertilisers (4)
Inorganic industrial chemicals (2)
Agricultural chemicals (1)
Agricultural chemicals not elsewhere classified (1)
Ceramics, glass and industrial mineral products not elsewhere classified (1)
Organic industrial chemicals not classified elsewhere (1)
Treatments (e.g. chemicals, antibiotics) (1)
Filter by Funding Provider
Australian Research Council (4)
Filter by Status
Closed (4)
Filter by Scheme
Linkage Projects (2)
Discovery Projects (1)
Linkage - International (1)
Filter by Country
Australia (4)
Filter by Australian State/Territory
QLD (3)
NSW (1)
  • Researchers (3)
  • Funded Activities (4)
  • Organisations (1)
  • Funded Activity

    Linkage Projects - Grant ID: LP0214142

    Funder
    Australian Research Council
    Funding Amount
    $394,000.00
    Summary
    Scale-up and Intelligent Control of Granulation Processes. Granulation is the process that forms granular products with carefully targeted properties from powdery or liquid feeds. Granular products abound in the pharmaceutical, agricultural & industrial chemicals, and food & consumer goods industries. Poor understanding of the granulation causes delays in the time to market of new products and poor efficiency in large scale continuous granulation plants. This project will build on recent adva .... Scale-up and Intelligent Control of Granulation Processes. Granulation is the process that forms granular products with carefully targeted properties from powdery or liquid feeds. Granular products abound in the pharmaceutical, agricultural & industrial chemicals, and food & consumer goods industries. Poor understanding of the granulation causes delays in the time to market of new products and poor efficiency in large scale continuous granulation plants. This project will build on recent advances in the understanding of granulation fundamentals to (1) develop new robust design and scale up rules (2) develop intelligent control schemes for continuous granulation circuits, and (3) develop a new generation of regime separated granulators. The project is receiving substantial support from 3 industry partners (MSD Australia, Incitec and WMC Fertilizers) with cash contributions over 40% of the ARC grant requested, as well as very substantial in-kind contributions.
    Read more Read less
    More information
    Funded Activity

    Discovery Projects - Grant ID: DP0345777

    Funder
    Australian Research Council
    Funding Amount
    $451,000.00
    Summary
    Multi-Scale, Multi-Form Approach to the Modelling, Design and Control of Complex Particulate Processes. Many particulate processes suffer from high recycle rates and instability due to lack of knowledge at various scale levels, and on the fitness between model forms and applications. This project will develop a complete model hierarchy ranging from the microscopic scale to full plant scale using a multi-scale, multi-form approach. The joint force of two world class teams will tackle the complex .... Multi-Scale, Multi-Form Approach to the Modelling, Design and Control of Complex Particulate Processes. Many particulate processes suffer from high recycle rates and instability due to lack of knowledge at various scale levels, and on the fitness between model forms and applications. This project will develop a complete model hierarchy ranging from the microscopic scale to full plant scale using a multi-scale, multi-form approach. The joint force of two world class teams will tackle the complex interaction problems covering granulation fundamentals, dynamic modelling, process design and advanced control. The work will lead to significantly improved productivity and quality for a wide range of industrial particulate processes using innovative design and model based control strategies.
    Read more Read less
    More information
    Funded Activity

    Linkage Projects - Grant ID: LP0776860

    Funder
    Australian Research Council
    Funding Amount
    $341,785.00
    Summary
    New dispersants for improved agrochemical and allied formulations. This project will deliver substantial benefits for national regional communities and the environment through improved agrochemical dispersion, and reduced pesticide and water use. This project will deliver improved products for agrochemicals and animal food, bringing significant agricultural advantages to Australia. This will help Huntsman with cutting-edge technologies in manufacturing agrochemical and related products for the n .... New dispersants for improved agrochemical and allied formulations. This project will deliver substantial benefits for national regional communities and the environment through improved agrochemical dispersion, and reduced pesticide and water use. This project will deliver improved products for agrochemicals and animal food, bringing significant agricultural advantages to Australia. This will help Huntsman with cutting-edge technologies in manufacturing agrochemical and related products for the national and global markets. We will provide advanced training for postgraduate and research personnel that will be sought-after by the agrochemical and allied industries.
    Read more Read less
    More information
    Funded Activity

    Linkage - International - Grant ID: LX0348222

    Funder
    Australian Research Council
    Funding Amount
    $27,000.00
    Summary
    Multi-scale Process Modelling for Intelligent Control. Processing and manufacturing systems are inherently multi-scale in their behaviour. From the molecular scale to the enterprise-wide scale. This and other attributes of the individual models create difficulties in the design and control of such systems. This project will develop suitable multi-scale measures (metrics) for process models based on an object oriented assumption based modelling language. It will lead to enhanced intelligent contr .... Multi-scale Process Modelling for Intelligent Control. Processing and manufacturing systems are inherently multi-scale in their behaviour. From the molecular scale to the enterprise-wide scale. This and other attributes of the individual models create difficulties in the design and control of such systems. This project will develop suitable multi-scale measures (metrics) for process models based on an object oriented assumption based modelling language. It will lead to enhanced intelligent control strategies and improved operational performance through use of the most appropriate model. The work will focus on industrially important reaction and particulate processing systems
    Read more Read less
    More information

    Showing 1-4 of 4 Funded Activites

    Advanced Search

    Advanced search on the Researcher index.

    Advanced search on the Funded Activity index.

    Advanced search on the Organisation index.

    National Collaborative Research Infrastructure Strategy

    The Australian Research Data Commons is enabled by NCRIS.

    ARDC CONNECT NEWSLETTER

    Subscribe to the ARDC Connect Newsletter to keep up-to-date with the latest digital research news, events, resources, career opportunities and more.

    Subscribe

    Quick Links

    • Home
    • About Research Link Australia
    • Product Roadmap
    • Documentation
    • Disclaimer
    • Contact ARDC

    We acknowledge and celebrate the First Australians on whose traditional lands we live and work, and we pay our respects to Elders past, present and emerging.

    Copyright © ARDC. ACN 633 798 857 Terms and Conditions Privacy Policy Accessibility Statement
    Top
    Quick Feedback