Mei-Jyun Lin’s journal paper has been officially published in the international journal The International Journal of Advanced Manufacturing Technology. This study develops a low-cost laser-based system for real-time geometric monitoring in material extrusion (MEX) 3D printing. By combining affordable sensors with advanced signal processing, the system can detect defects such as layer shifting and voids, enabling automated error detection and part removal. The approach improves process efficiency and quality control, though challenges remain in precision and application to complex geometries.
林美君同學（Mei-Jyun Lin）的期刊論文已正式發表於國際期刊《The International Journal of Advanced Manufacturing Technology》。林同學的研究題目為”In situ optical monitoring for geometric accuracy and error detection in extrusion‑based additive manufacturing”，該研究開發了一套低成本的雷射系統，用於即時監測材料擠製（MEX）3D 列印的幾何特徵。透過結合平價感測器與進階訊號處理技術，該系統能偵測如層移與孔洞等缺陷，並支援自動化的錯誤偵測與零件移除。此方法可提升製程效率與品質管控，但在精度與應用於複雜幾何方面仍存在挑戰。