Multi-tasking machine is capable of performing both milling and turning operations, it contributes to highly
efficient machining and space conservation. However, prior to machining a lot of lead time is consumed in
deciding efficient process plan, and generating machining tool path. Although the current CAM systems are
highly integrated, the efficiency of the generated tool path is highly relied on the experience of the CAM
programmer. In this research, an automatic process planning system for multi-tasking machine was developed.
It is capable of recognizing manufacturing features and deciding efficient process plan from CAD model
automatically. In this developed system, the CAD model is described as Attributed Adjacency Graph (AAG),
and each feature is defined by AAG and its geometrical properties. Totally 8 milling features and 9 turning
features can be recognized. The optimal machining plan is calculated based on machining cost evaluation. In
addition, in this research a new method based on subfeature combination is proposed in order to recognize
intersecting features. Furthermore, in this research the connection relationship of each feature is classified, and
machining priority is assigned to adjacent features. It prevents the time consuming evaluation for checking all
possible machining sequences. Finally, according to the experiment results, it is confirmed this developed
system is capable of obtaining optimal machining plan properly and rapidly.
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