Program 3 – Rapid Productisation

Program 3: Rapid Productisation

Objective & BenefitRapid Productisation will…

• implement an open source innovation model that is broadly accessible

• create greater access for SMEs through a new innovation centre and makers precinct for advanced electronics design capabilities utilising ASIC platforms and new bionic devices

• build capability for high quality, low volume personalised production, including advanced on-line real time analysis and advanced design tools

• create low cost access for product testing and compliance and promote the development and implementation of standardisation for innovative manufacturing

The Rapid Productisation program will create platforms and models to increase efficiencies in manufacturing businesses and provide a safe environment for businesses to learn and grow based on proven innovation models. Research from this program will include a standardised system for innovative manufacturing that will decrease testing and compliance costs for businesses

Plug and Play manufacturing system

This project focusses on making our factories more efficient by modelling the “plug and play” approach to upgrading manufacturing production lines

Description Year 1(2015)

Year 2(2016)

Year 3(2017)

Year 4(2018)

Year 5(2019)

Year 6(2020)

Year 7(2021)

Research Outputs

A major output will be the “Plug–and–Play manufacturing module” including controls and interfaces ready to be selected into a complete integrated manufacturing system for new products in a product family.

•Develop formal (knowledge transferrable) modelling and simulation training package and create processes to migrate the current business processes and workflows to new integrated systems design

•Determine opportunities in alternative manufacturing domains not included in previous research

•Generic adaptable new small batch integrated systems design package for industry

Resources x Postdoctoral fellow p/ax Postgraduates p/aApproximately $xx in operational expenditure invested over the seven year period

Participants

Manufacturing in the Cloud

The manufacturing cloud will provide firms with a universal portal for rapid productization using the facilities of the factories of the future.

Description Year 1(2015)

Year 2(2016)

Year 3(2017)

Year 4(2018)

Year 5(2019)

Year 6(2020)

Year 7(2021)

Research Outputs

A major output of Manufacturing in the Cloud is the integrated modelling platform to enable dynamic visualization of factories that embed new technologies and provides a one stop platform for design and productisation

•Fully integrated design production procedures across research providers

•Tools developed for tracking, evaluating rapid productisation processes

•Concentrate on technology transfer to industries, facilitate training, continue product development

Resources x post doctoral fellows p/aApproximately $xx in operational expenditure invested over the seven year period

Participants

Critical components and platforms

Critical Components and Platforms will develop essential (but currently missing) components for rapid productisation including a customisable ASIC and a bionics foundry.

Description Year 1(2015)

Year 2(2016)

Year 3(2017)

Year 4(2018)

Year 5(2019)

Year 6(2020)

Year 7(2021)

Research Outputs

Major outputs for this project will be the critical components for Rapid Productisation, a customisable ASIC chip and a bionics foundry.

•Customizable ASIC technology which combines programmable analog and digital systems on a single chip for the ‘internet of things’.

•Design rules and tools for implantable bionic devices, including design and fabrication of fully implantable neural recording and stimulation system ready for clinical testing

Resources x post doctoral fellows p/ax postgraduate p/aApproximately $xx in operational expenditure invested over the seven year period

Participants

Testing and Compliance

Development of tools and systems to Roadtest designs to ensure regulatory compliance and adherence to standards, Collect data during manufacture for certification of product quality and pedigree, Embedded sensor systems for quality assurance.

Description Year 1(2015)

Year 2(2016)

Year 3(2017)

Year 4(2018)

Year 5(2019)

Year 6(2020)

Year 7(2021)

Research Outputs

A major output is the Total product reliability assessment and validation from the integration of engineering design data with component reliability testing to enable fast track certification of product reliability. Methods to identify critical faults and extreme operational conditions are incorporated in this assessment.

•Design sacrificial sensors to be incorporated into additive manufactured products. •Develop prototype software control•Confirm performance of sensors against standard compliance tests•Patent software development

Resources x Research Manager p/ax Postdoctoral fellow p/ax Postgraduate p/ax Research AssistantApproximately $xx in operational expenditure invested over the seven year period

Participants