iSurface – Reducing Failure in Composite Materials
The iSurface project focuses on reducing failure in composite materials through state-of-the-art data acquisition, production flow analysis, and decision support tools. Z Prime leverages its expertise in digitalisation and AI-driven manufacturing to optimise monitoring and production processes, ensuring enhanced structural integrity and reliability of composite materials. Challenges Composite materials are prone to complex failure […]
ELOXYCHEM – Predicting and Verifying Production Stability in Electrochemical Oxidation Processes
95% of manufactured goods include chemicals and as the 4th largest industry in Europe, oxidative chemical conversion processes in manufacturing account for 5% of the EU’s greenhouse gas (GHG) emissions. ELOXYCHEM aims to establish a commercially relevant electrochemical oxidation process to replace existing chemical conversion methods reliant on imported materials and fossil fuels and support […]
CIRC4Bio – Advancing Circular Economy in Biomass Refining
CIRC4Bio exemplifies an innovative approach to advancing circular economy principles within the biotechnology sector. Co-funded by LIFE, the EU’s environmental and climate action financial instrument, the project focuses on converting multi-source biomass into high-value products while minimising environmental impact. Z Prime plays a crucial role in evaluating biorefinery plant requirements and developing a comprehensive Biowaste […]
WAVETAILOR – Laser-Based Additive Manufacturing (LBAM)
The WAVETAILOR project pioneers sustainable Laser-Based Additive Manufacturing (LBAM) by employing robust Digital Twin technology. This innovation ensures first-time perfect assemblies and achieves an 80% reduction in scrap. Z Prime’s platform integrates bespoke Intelligent Data Acquisition, analytics, machine learning, and AI solutions to optimise the manufacture of high-precision aerospace products with complex geometries. Challenges […]
CLASCO – Climate Neutral and Digitalised Laser-Based Surface Functionalisation of Complex Geometry Parts
The CLASCO project aims to revolutionise additive manufacturing (AM) through a digitalised, climate-neutral approach using laser-based surface functionalisation. Z Prime is implementing a universal, AI-driven digitalised process plan for creating functionalised AM parts with complex geometries, focusing on improving efficiency, quality, and environmental sustainability. Challenges The additive manufacturing industry often grapples with inefficiencies due […]
Valzeo – Process Monitoring for Industrial-scale IoT Applications
The Valzeo project focuses on enhancing process monitoring for industrial-scale IoT applications. Z Prime leads the development of AI-driven solutions for environmental remediation and biofuel production, providing system performance optimisation through their unique platform. This initiative integrates machine learning (ML) and AI to build a robust software application and platform for Industrial IoT (IIoT) standards. […]
