Adhesive selection via an interactive, user-friendly system based on Symbolic AI

Procedia CIRP(2022)

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摘要
Adhesive joints are increasingly used in industry for a wide variety of applications because of their favorable characteristics such as high strength-to-weight ratio, design flexibility, limited stress concentrations, planar force transfer, good damage tolerance and fatigue resistance. Selection of a proper adhesive for a particular application depends on many often conflicting product and manufacturing process requirements and is therefore a cumbersome task. Traditionally, adhesive selection is done by an adhesive expert based on experience, prior knowledge and trial and error. Adequate tooling to support adhesive bonding experts in the design processes is lacking, generally yielding suboptimal results.
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关键词
Adhesive selection,Design, Knowledge Base,Symbolic AI,Atificial Intelligence,Digital consultant
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