Glossary
This glossary provides clear and consistent definitions of key terms used throughout the ORGANIC project. It is intended to support a shared understanding among all partners, stakeholders and readers by clarifying technical concepts, abbreviations and project-specific language. The glossary will be updated as the project develops to reflect new terms and refinements in usage.
Additive manufacturing (AM): Also known as 3D printing, a family of processes that create complex geometries layer-by-layer directly from digital models.
Asset Administration Shell (AAS): Digital representation of a physical or digital asset compliant with Industry 4.0 standards, ensuring semantic interoperability and plug-and-produce integration across systems.
Bio-based material: Material derived wholly or partly from renewable biological resources (e.g., plants, algae or microorganisms) designed to replace fossil-based feedstocks in manufacturing.
Bio-inspired design: Design methodology that draws from natural structures, functions and evolutionary principles to optimise mechanical, thermal and functional performance while minimising material use.
Bio-intelligence: Integration of biological principles (adaptation, self-organisation, learning) with AI and digital manufacturing to create systems that mimic, adapt and optimise like living organisms.
Bio-intelligent AM ecosystem: Integrated environment combining bio-inspired design, sustainable materials, cognitive control and digital knowledge frameworks for adaptive, circular manufacturing.
Biocomposite: Composite material comprising a bio-based matrix and natural or synthetic reinforcement fibres, combining strength and sustainability.
Biologicalisation: Systemic transformation of industrial processes to emulate natural systems’ efficiency, circularity and adaptiveness, embedding bio-inspired, bio-based and bio-intelligent features into manufacturing.
Circular economy: Economic model that aims to keep materials and products in use for as long as possible through reuse, remanufacturing and recycling, reducing waste and resource extraction.
Computer-aided technologies (CAx): A collective term for computer-aided design (CAD), engineering (CAE) and manufacturing (CAM) tools that support digital product development and production.
Digital thread: Seamless flow of digital information across the product lifecycle, linking design, material data, manufacturing parameters and performance records.
Digital twin (DT): Dynamic digital counterpart of a physical system that mirrors its state, behaviour and evolution in real time, enabling predictive control, diagnostics and traceability.
FAIR principles: Data-management principles ensuring information is findable, accessible, interoperable and reusable across platforms.
Fused Granulate Fabrication (FGF): An extrusion-based AM process that feeds thermoplastic granules, often reinforced with short fibres, through screw extruder.
Generative design: A computational design method that automatically explores alternative geometries based on predefined performance, cost and sustainability objectives.
Gentelligence framework: A knowledge management approach inspired by DNA evolution, enabling continuous learning, adaptation and long-term evolution of manufacturing systems.
GraphSAGE embedding: Machine-learning technique for generating vector representations of nodes in a knowledge graph, used for similarity search and clustering in ORGANIC’s sustainability data models.
Hierarchical structure: Multi-scale organisation of materials or components that replicates natural architectures for enhanced mechanical and functional performance.
Knowledge graph: Graph-based data structure linking heterogeneous entities (e.g., materials, processes, designs) to represent and query relationships within ORGANIC’s digital ecosystem.
Large-format additive manufacturing (LFAM): Large-scale, industrial evolution of FGF, combining the same extrusion principles with enhanced material throughput, robotic flexibility and typical deposition rates ranging from 1 to 50 kg/h, enabling the manufacture of metre-scale parts.
Life-cycle assessment (LCA): A systematic method for evaluating the environmental impacts of a product or process across its life cycle, from raw material extraction to disposal or recycling.
Multi-criteria decision making (MCDM): Decision-analysis framework used to evaluate alternatives across several criteria (e.g., cost, mechanical performance, carbon footprint, recyclability).
Multi-objective RL (MORL): Reinforcement learning framework optimising multiple, possibly conflicting objectives (e.g., quality, energy efficiency, circularity) simultaneously.
Ontology: Formal, machine-readable representation of knowledge that defines entities, relationships and constraints within a domain, supporting reasoning and interoperability.
Open pilot line (OPL): Demonstration facility used to validate ORGANIC technologies under industrially relevant conditions.
Process-Structure-Property-Performance (PSPP) relationships: A framework linking manufacturing processes to resulting material structures, properties and product performance, enabling predictive design and optimisation.
Regenerative design: Design philosophy that goes beyond sustainability to actively restore and renew natural and social systems affected by industrial activity.
Reinforcement Learning (RL): Machine-learning technique in which an agent learns optimal actions through trial-and-error interactions with its environment, used in ORGANIC for adaptive, long-term process optimisation.
Safe and sustainable by design (SSbD): European framework ensuring materials and processes are designed to be both environmentally sustainable and safe throughout their lifecycle.
Self-X control system: A class of cognitive control architectures with self-monitoring, self-configuration, self-optimisation and self-healing abilities, inspired by autonomic computing and biological adaptivity.
Sustainability by design: An approach that embeds environmental and social sustainability considerations (e.g., carbon footprint, water footprint) directly into early stages of design and engineering.
Sustainability ontology: Structured semantic model connecting material, process and environmental data to enable automated reasoning and LCA-based decision support.
Sustainable manufacturing: The creation of products using processes that minimise environmental impacts, conserve resources and balance economic viability with social responsibility.
Technology readiness level (TRL): Scale (1–9) assessing the maturity of a technology from basic principles (TRL 1) to full industrial deployment (TRL 9).
Topology optimisation: Computational design approach that determines the optimal material distribution within a given domain for specified loads and constraints.
Triply periodic minimal surface (TPMS): Continuously repeating 3D surface with minimal area, used to design lightweight lattices inspired by biological morphologies.
Voronoi lattice: Randomised, cell-based structure derived from spatial tessellation principles, used in bio-inspired lightweight architectures.