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In contrast, Linked Open Data (LOD) provides some huge open knowledge bases in which lots of materials knowledge is hidden.
In this paper, we survey the representation of materials knowledge in recent decade especially from an ontological perspective.
The emerged materials ontologies, most of which are designed manually, provide useful but relatively limited materials knowledge.
Therefore, the integration of materials information from heterogeneous sources and transforming them into materials knowledge are of great significance.
However, due to the diversity and complexity of metallic materials knowledge, the knowledge utilization may encounter much inconvenience.
To build materials knowledge, rigorous description of the material structure and associated tools to explore and exploit information encoded in the structure are needed.
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Since lead bismuth eutectic is used as core coolant and spallation material, knowledge of its thermal hydraulic behaviour is essential.
This contribution deals with the methodological approach followed for the archaeometric study of mortars, and the results in term of material knowledge and reading of the building phases in a time interval of about a millennium.
With patient-specific implant modeled and simulated, rule-based methods, Genetic Algorithm (GA) and material knowledge bases are used to perform multi-objective optimization of the material composition for additive manufacturing.
Easily visually detectable without prior expert material knowledge, thus allowing any archival user to participate.
As a part of the material knowledge adoption, future designers will also need to explore various post-finishing processes and material maintenance methods, such as hand rinsing and air drying for thermoplastic materials.
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