Why can industrial extruders achieve a very stable wire diameter, while C1 requires complex AI calculation compensation to achieve it
Release time:2025-02-24
This question has also troubled us for a long time. We dissected 5 different models of large extruders and attempted to proportionally reduce them to desktop level. We reduced all the structures and achieved their functions, but the wire diameter accuracy could not meet the industrial standard no matter what. After our research, we found that the reason for this is the ratio of screw size to raw material size. A larger ratio will have higher stability, which contradicts our hypothesis of shrinking the screw. Later, we verified the correctness of this hypothesis using powder materials. Moreover, large extruders use different screws for different materials, and C1, as a universal desktop extruder, is undoubtedly a difficult problem to achieve precise control of wire diameter for different materials. It is worth it. Fortunately, with the development of artificial intelligence, We used AI to simulate algorithm compensation, which took us a lot of time and effort to collect data. In the end, we solved this problem and made it possible to desktop the filament extruder.
This question has also troubled us for a long time. We dissected 5 different models of large extruders and attempted to proportionally reduce them to desktop level. We reduced all the structures and achieved their functions, but the wire diameter accuracy could not meet the industrial standard no matter what. After our research, we found that the reason for this is the ratio of screw size to raw material size. A larger ratio will have higher stability, which contradicts our hypothesis of shrinking the screw. Later, we verified the correctness of this hypothesis using powder materials. Moreover, large extruders use different screws for different materials, and C1, as a universal desktop extruder, is undoubtedly a difficult problem to achieve precise control of wire diameter for different materials. It is worth it. Fortunately, with the development of artificial intelligence, We used AI to simulate algorithm compensation, which took us a lot of time and effort to collect data. In the end, we solved this problem and made it possible to desktop the filament extruder.
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This is one of the most frequently asked and highly valued questions. To address it, we must first understand that filament diameter consistency is the single most critical factor influencing 3D print quality, particularly layer adhesion and surface finish. The C1’s standout feature is its ability to maintain exceptional diameter uniformity (≤±0.03mm), which directly translates to print performance indistinguishable from premium commercial filaments. To validate this claim, we conducted a blind print test: Methodology: The same 3D printer and model were used to print with three filament types: C1-produced filament from virgin pellets. C1-produced filament from recycled waste. A leading commercial filament (e.g., Prusament, Polymaker). Results: Post-print analysis (dimensional accuracy, surface roughness, tensile strength) revealed no statistically significant differences between the three samples. Even experienced users could not visually or mechanically distinguish which filament was used. Diameter Consistency: The C1’s AI-driven diameter control ensures that both virgin and recycled filaments meet or exceed commercial-grade standards. Material Integrity: Properly recycled waste (cleaned, sorted, and processed) retains mechanical properties comparable to virgin material. Cost Efficiency: Producing filament in-house with the C1 can reduce costs by up to 50% compared to buying commercial filaments, without sacrificing quality. Why This Matters For Professionals: Eliminate reliance on external suppliers while maintaining print quality. For Hobbyists: Experiment with custom materials (colors, blends) without compromising results. For Eco-Conscious Users: Achieve sustainability goals by recycling waste into high-performance filament.
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This question has also troubled us for a long time. We dissected 5 different models of large extruders and attempted to proportionally reduce them to desktop level. We reduced all the structures and achieved their functions, but the wire diameter accuracy could not meet the industrial standard no matter what. After our research, we found that the reason for this is the ratio of screw size to raw material size. A larger ratio will have higher stability, which contradicts our hypothesis of shrinking the screw. Later, we verified the correctness of this hypothesis using powder materials. Moreover, large extruders use different screws for different materials, and C1, as a universal desktop extruder, is undoubtedly a difficult problem to achieve precise control of wire diameter for different materials. It is worth it. Fortunately, with the development of artificial intelligence, We used AI to simulate algorithm compensation, which took us a lot of time and effort to collect data. In the end, we solved this problem and made it possible to desktop the filament extruder.
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