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The ontology-based Semantic Web technology is introduced into the semantic representation of material selection knowledge.
For correct material selection, knowledge regarding all the properties of the raw materials should be obtained.
The implicit material selection knowledge is represented as a set of labeled instances and RDF instance graphs in terms of the concept model, which provides a formal approach to organizing the captured material selection knowledge.
Finally, based on this knowledge framework, a case study on constructing a mold material selection knowledge system is provided.
Similar(55)
The material selection relies on the knowledge of material behavior in different loading conditions.
Safe design and material selection therefore require detailed knowledge of the fracture strength.
In the face of the large number and wide variety of engineering materials, it is very necessary to research and develop an open, shared, and scalable knowledge framework for implementing domain-oriented and knowledge-based material selection.
Engineering material selection intensively depends on domain knowledge.
The presented knowledge framework can provide powerful knowledge services for material selection.
This work is a new attempt to build an open and shared knowledge framework for engineering material selection.
This study helps to further understand the mechanics of the tube hydroforming process and to provide more knowledge for die design and material selection.
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