Enhancing FDM Rapid Prototyping for Industry 4.0 Applications Through Simulation and Optimization Techniques.

Area of Science:

• Additive Manufacturing
• Industry 4.0 (Smart Manufacturing)

Background:

• Additive manufacturing, a key pillar of Industry 4.0, utilizes technologies like Fused Deposition Modelling (FDM), Stereolithography (SLA), and Selective Laser Sintering (SLS).
• Conventional consumer-grade 3D printers face performance limitations.
• Klipper v.0.12 is an open-source firmware designed to overcome these limitations.

Purpose of the Study:

• Identify and analyze performance bottlenecks in low-cost 3D printers.
• Evaluate mitigation strategies using supplementary hardware and software, including Klipper firmware and Raspberry Pi.
• Demonstrate significant upgrades to consumer-grade FDM 3D printers.

Main Methods:

• Integration of Klipper firmware with a single-board computer (Raspberry Pi) to offload intensive computational tasks.
• Incorporation of supplementary hardware (additional sensors) and software (Mainsail interface).
• Systematic calibration of the upgraded 3D printer system.

Main Results:

• Achieved up to a 50% reduction in printing time.
• Maintained dimensional accuracy of printed parts.
• Improved the surface quality of the final products.

Conclusions:

• Consumer-grade FDM 3D printers can be substantially upgraded through the integration of Klipper firmware, Raspberry Pi, and additional sensors.
• This upgrade leads to significant improvements in printing speed, dimensional accuracy, and surface quality.
• The study demonstrates a viable method for enhancing the performance and profitability of low-cost additive manufacturing systems.