Design and Development of the Self-Adaptive Tool Path Decision-Making CNC Platform

In five-axis computer numerically controlled (CNC) machining of sculptured surface parts, the application of tool-path planning and interpolation is recognized as economically viable manufacturing technology. However, manual control is still widely used in the machining of high-speed and high-precision CNC systems at present. Thus, the change of surface curvature and selection of tools are heavily dependent on the expertise and technical personnel on-site decision, which requires lots of unnecessary time and effort in repeated calculations, and couldn´t achieve precise control of path planning. In this thesis, inspired by studies of artificial intelligence decision-making system, we introduce the automatic path planning to CNC systems, which is based on the central control system, and propose the matching interpolation algorithm. In actual processing, considering processing requirements, decision-making system can assess the path planning and interpolation algorithm in real time to select the appropriate combination of processing path generation algorithm, and achieve the automation of the CNC machining trajectory planning process.