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Towards Adaptive Additive Manufacturing with Image-based Monitoring for Binder Jet 3D Printing
In the context of 3D concrete printing, this study explores the possibility of image-based monitoring approaches for on-site quality evaluation and improvement in powder-based binder jetting procedures. The project's main goal is to create an integrated feedback system that integrates a monitoring system based on images into the printing process, allowing for real-time analysis and improvement. The study also investigates how different concrete composite mixing ratios affect the printing process, laying the groundwork for the use of hybrid materials to enhance the mechanical behavior of binder jetted parts in comparison to homogeneous standard materials. By focusing on these goals, we can considerably advance our understanding of image-based monitoring in additive manufacturing, which will ultimately help us create 3D-printed structures that are more dependable and durable. These developments will also significantly impact 3D concrete printing in building applications, encouraging innovation and better performance in the sector.
- Master's Thesis
- Master of Science in Computational Design (MSCD)