Canta, Maria Jeriah V.

Petr: automated polyethylene terephthalate (pet) recycler pultrusion machine with a diameter consistency pid control system using computer vision/ Maria Jeriah V. Canta, Jessie F. Logrono, Lieneth A. Maylas, Cherie Ann C. Nelmida, and Vince Elrey O. Tolledo.-- - Manila: Technological University of the Philippines, 2025. - xi, 168pages: 29cm.

Bachelor's thesis


College Of Engineering.--


Includes bibliographic references and index.

The rapid rise in plastic production poses a serious threat to aquatic ecosystems, with an
estimated 13 to 19 million metric tons of plastic entering water bodies each year. Asia
alone contributes approximately 82 million tons of plastic waste, making it the largest
source of global plastic pollution. As the demand for sustainable materials in 3D printing
continues to grow, there is an urgent need to develop methods for converting plastic
waste into alternative filament sources. This study addresses that need by designing and
building a 3D printer filament pultrusion machine that features automation and real-time
monitoring. The system uses PID control through an Arduino Uno R4 microcontroller to
regulate the stepper motor, heating nozzle, and spooling mechanism, which all work
together to produce consistently wound PET filament. In addition, a computer vision
system using machine learning was set up on a Raspberry Pi 5 to monitor filament
diameter in real time. The goal was to maintain a consistent 1.75 mm diameter, with an
acceptable 5% margin of error (1.66mm to 1.84mm). YOLOv8 was used instead of Mask
R-CNN because it worked faster and more efficiently on the Raspberry Pi. To measure
the filament, OpenCV was used, offering a more affordable method compared to laser
systems. The tests used Nature Spring 1-liter PET bottles, cut into strips with widths
between 9.0 mm to 9.6 mm and a thickness of 0.2 mm. It was found that the width and
thickness of the strip had an effect on whether the filament could consistently reach the
target diameter. Consequently, to check the quality of the filament, a pendulum impact
test was done, along with test prints using a 3D printer. Measurements from the computer
vision system were compared with results from a caliper, and had an accuracy of 98.73%.
This project shows how waste PET bottles can be turned into usable 3D printing filament.


Plastic production
Aquatic ecosystems
Filament machine

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