Filament Advance Detection Sensor for Fused Deposition Modelling 3D Printers

Area of Science:

• Additive Manufacturing
• Mechanical Engineering
• Sensor Technology

Background:

• Fused Deposition Modelling (FDM) 3D printers commonly suffer from extrusion failures, leading to material waste and print defects.
• Existing FDM systems lack integrated solutions for real-time detection of filament feed issues.
• Addressing this gap is crucial for improving the reliability and efficiency of FDM 3D printing.

Purpose of the Study:

• To develop and present a novel system for detecting extrusion failures in FDM 3D printers.
• To ensure the proper forward movement of filament during the printing process.
• To provide a cost-effective solution that minimizes material loss, energy consumption, and mechanical wear.

Main Methods:

• Utilized the weighted objectives method to evaluate and select the most suitable sensor.
• Identified an optical encoder as the optimal sensor for detecting filament motion.
• Employed photogrammetry scanning methodology to design a non-intrusive mounting component for the sensor.

Main Results:

• Successfully developed a device that accurately detects filament advancement without disrupting the FDM printer's normal operation.
• The system effectively prevents material waste, energy loss, and mechanical wear associated with extrusion failures.
• The implemented solution is low-cost and does not significantly increase the overall cost of the 3D printer.

Conclusions:

• The developed optical encoder system provides a reliable and affordable method for detecting extrusion failures in FDM 3D printers.
• This innovation enables the utilization of filament remnants and facilitates multi-color printing with single extruders.
• The system enhances the overall efficiency and versatility of FDM 3D printing technology.