Impact of Simple Parameters on Fibre Diameter in Melt Electrowriting (MEW)

This project explores the optimization of the Melt Electrowriting (MEW) process by automating fiber diameter characterization and analyzing the impact of key printing parameters. A Pythonbased image processing pipeline was developed, incorporating advanced techniques such as contrast enhancement, adaptive thresholding, and morphological operations. These innovations automated the measurement process, significantly improving reproducibility and reducing manual input. Additionally, the MATLAB G-code generator was enhanced to streamline the design and production of scaffolds, allowing for rapid and reliable parameter adjustments. The experimental investigations focused on three primary variables: extrusion rate, feed rate, and nozzle size. Systematic tests revealed their influence on fiber morphology and identified optimal operational ranges. The results demonstrated that maintaining consistent process parameters is crucial for achieving uniform fiber diameters, contributing to the precision and reliability of MEW fabrication. While efforts to integrate the ADXL345 accelerometer for resonance monitoring encountered software challenges, this tool was identified as a promising solution for improving process stability and enabling real-time feedback in the future. The accelerometer's compatibility with the Raspberry Pi Pico WH and the Klipper firmware makes it an ideal candidate for further development. This work provides a comprehensive framework for optimizing MEW technology. It combines automation, parameterization, and a detailed understanding of process dynamics to enhance reproducibility and scalability. Future efforts will focus on resolving the challenges of real-time feedback integration and exploring additional parameters such as temperature and applied voltage to advance the MEW process further.