Morphology analysis and process optimization of μ-SLA 3D manufactured micro-nano conic structure

• Published in: Journal of Intelligent Manufacturing and Special Equipment
• Main Authors: Chongjun Wu, Yutian Chen, Xinyi Wei, Junhao Xu, Dongliu Li
• Format: Article
• Language: English
• Published: Emerald Publishing 2024-08-01
• Subjects: Micro-cone; Micro-nano additive manufacturing; Orthogonal experimental design; Process parameters optimization
• Online Access: https://www.emerald.com/insight/content/doi/10.1108/JIMSE-10-2023-0009/full/pdf
• ISSN: 2633-6596; 2633-660X

Purpose – This paper is devoted to prepare micro-cone structure with variable cross-section size by Stereo Lithography Appearance (SLA)-based 3D additive manufacturing technology. It is mainly focused on analyzing the forming mechanism of equipment and factors affecting the forming quality and accuracy, investigating the influence of forming process parameters on the printing quality and optimization of the printing quality. This study is expected to provide a µ-SLA surface preparation technology and process parameters selection with low cost, high precision and short preparation period for microstructure forming. Design/methodology/approach – The µ-SLA process is optimized based on the variable cross-section micro-cone structure printing. Multi-index analysis method was used to analyze the influence of process parameters. The process parameter influencing order is determined and validated with flawless micro array structure. Findings – After the optimization analysis of the top diameter size, the bottom diameter size and the overall height, the influence order of the printing process parameters on the quality of the micro-cone forming is: exposure time (B), print layer thickness (A) and number of vibrations (C). The optimal scheme is A1B3C1, that is, the layer thickness of 5 µm, the exposure time of 3000 ms and the vibration of 64x. At this time, the cone structure with the bottom diameter of 50 µm and the cone angle of 5° could obtain a better surface structure. Originality/value – This study is expected to provide a µ-SLA surface preparation technology and process parameters selection with low cost, high precision and short preparation period for microstructure forming.