Detection of Turned Features in an Autonomous Manner

Abstract

Automatic feature recognition (AFR) is a crucial process in manufacturing, aiming to extract and interpret design information without human intervention. Leveraging the “Java2” programming language, a software package equipped with Java Advanced Imaging (JAI) capabilities has been developed for this purpose. This package consists of four main modules. The first module is responsible for extracting geometrical data from the source material. Subsequently, the second module utilizes this extracted data to identify machine-turned features. Following identification, the third module generates process plans based on the recognized features. Finally, the fourth module employs these process plans to generate NC (numerical control) part programs. Through this systematic approach, AFR streamlines the machining process, reducing the reliance on manual intervention and enhancing efficiency in manufacturing operations.