Joint Labs

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Our joint labs with members play a key role in facilitating technology transfer and enhancing collaboration between our partner company and A*STAR research institutes to accelerate technology deployment. Through investments in research and developments (R&D) in advanced manufacturing, the joint lab will enable the collective development of deep capabilities to design solutions for real-world problems and support our partners in their market expansion initiatives and drive competitiveness in the industry. Joint lab partners will be able to enhance the performance and potential of their products while reducing the time to market.

Following the A*STAR – SAESL joint lab that was established in 2019, ARTC continues to form valuable long-term relationships with the SMEs. In 2020 and 2021, joint labs with SMEs such as Abrasive Engineering, Tru- Marine, and Arcstone were launched.

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A*STAR – Rolls Royce – SAESL (Singapore Aero Engine Services Pte Ltd) Joint Lab

  • A S$60 million joint lab to develop next-generation aerospace manufacturing, as well as Maintenance, Repair, and Overhaul (MRO) capabilities enabled by advanced processes, automation, and digital technologies
  • Driving a step-change in the manufacturing and remanufacturing processes through digitisation and automation in the aerospace industry
  • Facilitating SMEs to adopt the latest technologies and be part of the high-value global manufacturing supply chain to generate economic outcomes in Singapore

A*STAR – Abrasive Engineering Joint Lab

  • A S$5.5 million joint lab to build advanced manufacturing capabilities for the development of four new products (three types of media dosing units and one automated blasting room system) 
  • To become future-ready to sustain revenue growth while creating new jobs for the local economy and supporting global market expansion to the global market 

A*STAR – Tru – Marine Joint Lab

  • A S$6 million joint lab to build capabilities in developing a real-time monitoring system that enables changes in the business model through adopting predictive maintenance technologies
  • Reducing the amount of time required for research and development for the product to go into the market