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Dynamic Feed Rate Adjustment for Recoating Overflow Based on CLI File Data
In powder bed-based additive manufacturing, the feed rate during recoating determines the amount of powder distributed to maintain a uniform layer across the build platform. An optimal feed rate ensures a consistent powder bed while minimizing material waste and ensuring process stability. Traditional approaches often use a static feed rate, which may lead to inconsistencies in layer thickness or material overflow, especially for geometries with complex scanning patterns or varying powder requirements.
This project aims to develop a dynamic feed rate adjustment system for powder overflow during recoating, leveraging data extracted from Common Layer Interface (CLI) files. By analyzing CLI file data such as scan lengths, part density, and layer complexity, the system should dynamically tune the powder feed rate to minimize waste and optimize recoating efficiency.
This project aims to develop a dynamic feed rate adjustment system for powder overflow during recoating, leveraging data extracted from Common Layer Interface (CLI) files. By analyzing CLI file data such as scan lengths, part density, and layer complexity, the system should dynamically tune the powder feed rate to minimize waste and optimize recoating efficiency.
The project will address the following high-level goals:
• Understand the relationship between CLI scanning data and powder requirements for recoating.
• Develop algorithms to adjust the recoating feed rate dynamically based on CLI file data, accounting for scanning path density, part geometry, and build area.
• Validate the system experimentally by testing its impact on powder bed uniformity, material usage, and build quality on a L-PBF machine developed by A-Metal.
The project will address the following high-level goals: • Understand the relationship between CLI scanning data and powder requirements for recoating. • Develop algorithms to adjust the recoating feed rate dynamically based on CLI file data, accounting for scanning path density, part geometry, and build area. • Validate the system experimentally by testing its impact on powder bed uniformity, material usage, and build quality on a L-PBF machine developed by A-Metal.
CLI-FeedRate-Ametal.pdf
