Process Planning of Machining Hole Based on Hole Feature Recognition

• Main Authors: Yu-Lin Tsai, 蔡玉麟
• Other Authors: Yao-Yang Tsai
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/g8wymx

碩士 === 國立臺灣大學 === 機械工程學研究所 === 107 === The mechanical manufacturer can improve production efficiency and product quality by using CAM software. However, it is necessary to have the practical experience to operate the software and manually select the processing area based on the workpiece geometry. In this study, a drilling feature recognition algorithm is developed to identify the drilling features from STEP files of CAD. When the detailed geometric dimensions of the hole feature are obtained, drilling procedures and processing paths can be planned. In this study, drilling processes are planned according to the machine tool, tool library and hole feature. The drilling path is automatically generated by considering the actual processing and the algorithm of reducing the toolpath. In calculating the toolpath of each process, the greedy algorithm and two- optimization algorithm are used to optimize the order of the holes, which can reduce the empty travel by 48% and improve the processing efficiency. The results show that the mistakes of manual judgment of processing area can be reduced by hole feature recognition, and the numbers of tool changes and processing time can be reduced by drilling process planning, which greatly improves the processing efficiency.