Automated path planning based on point-cloud data for hybrid manufacturing

• Κύριος συγγραφέας: Αθανασοπούλου, Λυδία
• Άλλοι συγγραφείς: Athanasopoulou, Lydia
• Γλώσσα: English
• Έκδοση: 2022
• Θέματα: Hybrid manufacturing; Point cloud; Tool path planning; Machine learning; Additive manufacturing; CNC machining; Contour extraction; Alpha shapes; Polygon offsetting; Υβριδικές κατασκευές; Σύννεφο σημείων

Due to the significant capabilities and new opportunities on the optimization of manufacturing processes, Hybrid Manufacturing has drawn significant interest from both industry and academia within the past years. Hybrid Manufacturing is expected to be incorporated to the main production line, providing major benefits in terms of quality, flexibility and performance within an interconnected environment. This study focuses on the implementation of a tool path planning framework for Hybrid Manufacturing using point cloud data within the context of automation. The entire framework is being distinguished into four phases, namely the data preparation, extraction of the disparity map, the detection of the contours of the subtracted region of the scanned model and, finally, the generation of the tool path using a conditional offsetting method. The entire strategy is considered to be applicable to Additive and Subtractive Hybrid Manufacturing processes. The proposed approach has been investigated and validated through a case study.