CEM-WAVE Project

Novel Ceramic Matrix Composites produced with Microwave assisted Chemical Vapour Infiltration process for energy-intensive industries

The goal of the CEM-WAVE project is introducing an innovative Ceramic Matrix Composites (CMCs) production process, based on Microwave-assisted Chemical Vapour Infiltration technologies. This novel proposed process will extremely reduce processing costs, thus making CMCs sustainable for process industries in energy-intensive sectors such as steelmaking. Adaptation and optimisation of current processes to the increased use of renewable energy sources is particularly important in energy-intensive industries. Novel materials are needed to sustain conditions, such as higher temperatures and corrosive environments while guaranteeing energy efficiency and high-performances.

Materials potentially able to withstand such extreme conditions keeping excellent thermo-mechanical properties already exist, but are currently used only in few sectors due to the high production costs. CEM-WAVE aims at validating, in a radiant tube furnace, a small scale CMC-based tube embedded with sensors, substituting Inconel/Stainless steel alloys currently employed. The research and innovation work will be flanked by Artificial Intelligence-aided modelling research to predict the material behaviour, and will develop innovative joining and coating technologies to produce complex shaped components and further improving their high-temperature corrosion resistance. Life-Cycle Assessment, Life-Cycle Costing and Thermoeconomic Analysis will guarantee the project follows at every step the best directions in term of sustainability and future market uptake of the generated results.

Official Website:  https://www.cem-wave.eu

CALL / TOPIC: H2020-NMBP-ST-IND-2020-singlestage /  LC-SPIRE-08-2020 – Novel high performance materials and components (RIA)

Grant agreement ID: 958170

Start – end date: 1 October 2020 – 31 March 2024

Budget and funding: € 4 878 720 /  € 4 878 720

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 958170