This paper presents a Resistance Spot Welding (RSW) weldability knowledge visualization framework. To realize this visualization framework, real industry RSW quality datasets are analyzed using data mining algorithms and weldability decision rules are extracted. Then, an RSW ontology is employed to build a shareable RSW weldability knowledge model from the extracted decision rules, by converting into Semantic Web Rule Language rules. To visualize the weldment design integrated with the weldability knowledge, the RSW ontology data is mapped and integrated with X3DOM models and then X3DOM models are utilized for the visualization of welded assembly design. Finally, the visualization framework is implemented and demonstrated with a case study.
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