中村 優介

Under a static machining path of numerical controlled machining, when the machining path is completed successfully, the machining of the member is as accurate as the trajectory of the tool. However, it is difficult to confirm that the machining was performed accurately for a machining path that changes dynamically through feedback control. In addition, as the machined surface may have a texture peculiar to the blade, the machined surface cannot simply be compared with the designed shape. In this study, we will examine an achievement evaluation method for evaluating the accuracy of dynamic machining.

Five-axis machines are capable of complicated movement; however, their operation requires both experience and knowledge. For applying these machines to diversified small-quantity production, a sophisticated operating system that assists the operation in deriving the toolpath and avoiding errors is indispensable. From this perspective, the authors attempted to develop an automatic toolpath deriving method that detects processable polygons with a circular saw by analyzing a target geometry. A movement simulation method was also developed to ensure safety in operation. This paper reports the implementation of the system, and its validation through building a catenary dome that has miter joints.

5-axis machines are capable of complicated movement. However, their processing shapes are highly limited by the production systems optimized for particular building systems. This study aims to realize a 5-axis machine that can machine various shapes by the maximal activation through the development of the self-built machine and its operating software. Shapes that are processed with a circular saw are classified into three types. New log designs are machined by analyzing existing logs according to these types. In addition, algorithmically twisted logs are machined accurately. The results show that these approaches have the possibility of creating new building systems.