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Accelerated development of lignin-based elastomers
The aim is to overcome the century-old advantage of traditional petrochemical elastomers. The research project combines approaches from three key areas: materials science, artificial intelligence and robotics.
Can lignin-based elastomers catch up with petroleum-based materials?
Elastomers - or ‘rubbers’ - are used in countless applications, from tyres to medical devices. By 2032, the global elastomer market is expected to reach around USD 187 billion, while bio-based elastomers are expected to account for less than USD 2 billion. Competing with highly optimised, well-established petrochemical materials remains a major challenge.
This project aims to accelerate the industrial uptake of lignin-based elastomers by developing a platform for automated material optimisation using AI. Advanced machine learning and a robotic system will be used to systematically explore and optimise formulations for lignin processing and elastomer production.
The robotic platform will enable the screening, synthesis and evaluation of a wide range of lignin and other high-throughput bio-based materials. This approach is expected to significantly accelerate the development of sustainable, high-performance elastomers and allow for a more efficient use of research resources.
The knowledge will also pave the way for similar AI and automation-based approaches in other areas of materials science. The project involves collaboration with industrial partners across the value chain, including expertise in lignin, elastomers, AI, robotics and innovation infrastructure.
Summary
Project name
Lignin-based elastomers
Status
Active
RISE role in project
Coordinator
Project start
Duration
3 years
Total budget
SEK 5.9 million
Partner
Lixea, MetGen, Trelleborg Group, KTH Royal Institute of Technology
Funders
Coordinators
RISE Research Institutes of Sweden
Project members
Anders Holst Abhilash Sugunan Jerk Rönnols Ewellyn Capanema Stella Riad
Supports the UN sustainability goals
