CAD操作履歴の解析による暗黙的設計知識抽出の試み

抄録

This research shows the analysis of the designing process extracted from the macro-style operation log files exported from CAD (Computer-Aided Design) software. With digital transformation in manufacturing, CAD is getting more important and multi-functional. Designers must keep on learning to meet the demand of high-quality 3D models with low working costs. Preprocessing methods inspired by Natural Language Processing field and tool-based sectioning and comparing the leading time of each task, personal differences in the working flow are revealed. This process can be applied to the CAD learning management and the design knowledge management.