Ontology-based human–machine integrated design method for ultra-precision grinding machine spindle

This paper proposes an ontology-based design method which integrates human's knowledge and experience with computer's inference and computational capabilities for the spindle of ultra-precision grinding machine. A complete design framework is initiated based on a unify ontology base, which is built to integrate human's experience with computer's database. The spindle's bearing and drive type are automatically selected by defining the experience-based fuzzy inference rules, and applying the similarity-based instance search method. After the geometric model and finite element model are conducted, the static, dynamic and thermodynamic behaviors of the spindle are optimized. Consequently, the design indices of the spindle of an ultra-precision grinding machine have been satisfied successfully.