{"title":"Visual Feedback Control of Print Trajectory in FDM-Type 3D Printing Process","authors":"Shinichi Ishikawa, R. Tasaki","doi":"10.1109/ICCRE57112.2023.10155574","DOIUrl":null,"url":null,"abstract":"In recent years, additive manufacturing of FDM: Fused Deposition Modeling type 3D printing has been rapidly developed. However, failures in molding are inevitable, leading to loss of time and materials. In this study, we propose a motion control method that suppresses failures during the build process by using visual feedback control with an RGB camera. A camera installed near the nozzle detects the molding line and generates a new path from the coordinates obtained by the camera, thereby realizing path modification in real-time. In this paper, we conducted experiments to verify the effectiveness of the proposed path modification method and evaluated the tracking and modification effects. Moreover, we conducted a modeling experiment with visual feedback and confirmed the effectiveness of the vision-based path modification method to suppress failures beforehand. This vision-based compensation system is expected to contribute to automation and quality improvement of the additive manufacturing process and the production system.","PeriodicalId":285164,"journal":{"name":"2023 8th International Conference on Control and Robotics Engineering (ICCRE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 8th International Conference on Control and Robotics Engineering (ICCRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCRE57112.2023.10155574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, additive manufacturing of FDM: Fused Deposition Modeling type 3D printing has been rapidly developed. However, failures in molding are inevitable, leading to loss of time and materials. In this study, we propose a motion control method that suppresses failures during the build process by using visual feedback control with an RGB camera. A camera installed near the nozzle detects the molding line and generates a new path from the coordinates obtained by the camera, thereby realizing path modification in real-time. In this paper, we conducted experiments to verify the effectiveness of the proposed path modification method and evaluated the tracking and modification effects. Moreover, we conducted a modeling experiment with visual feedback and confirmed the effectiveness of the vision-based path modification method to suppress failures beforehand. This vision-based compensation system is expected to contribute to automation and quality improvement of the additive manufacturing process and the production system.