Employing advanced materials and manufacturing for achieving net-zero

Teesside University’s research is advancing net-zero goals by integrating additive manufacturing, advanced materials, and AI-driven optimisation to enhance sustainability in engineering and manufacturing.

Challenge

Achieving net-zero targets requires industries to adopt more sustainable manufacturing methods, yet traditional production techniques often result in significant material waste and inefficiencies. Additionally, metallic structures in sectors like energy and transport are exposed to extreme environmental conditions, leading to degradation and reduced performance over time. Without innovative approaches to enhance component durability and optimise manufacturing processes, industries face ongoing challenges in reducing their environmental footprint while maintaining high-performance standards.

Solution

Teesside University’s research is pioneering new approaches to advanced manufacturing and materials science. By leveraging additive manufacturing (3D printing) and cutting-edge materials—such as high-entropy alloys, composites, functionally graded materials, and superalloys—researchers are creating high-performance components with enhanced resilience and minimal waste. The research also includes advanced surface engineering techniques to protect metallic structures from degradation. Furthermore, the team is developing AI-driven frameworks to optimise material selection and manufacturing strategies, ensuring that sustainable production methods align with industry performance requirements. This interdisciplinary approach integrates digital innovation with engineering expertise to accelerate the transition to net-zero manufacturing.

Impact

By combining additive manufacturing with high-performance materials and AI-driven decision-making, this research is transforming sustainable production practices across multiple industries. Manufacturers now have access to advanced tools that reduce material waste, improve energy efficiency, and extend the lifespan of critical components. The integration of AI-driven material selection further streamlines the development of greener solutions, enabling industries to adopt more sustainable manufacturing techniques at a faster pace. This work supports the UK’s net-zero ambitions by equipping businesses with the knowledge and technology needed to create environmentally responsible and high-performing products, ultimately contributing to a more sustainable and resource-efficient future.