Degree
Doctor of Philosophy (PhD)
Department
Department of Mechanical and Industrial Engineering
Document Type
Dissertation
Abstract
This dissertation encapsulates significant advancements in the field of SLA 3D printing and centrifugal microfluidics. Central to the research is the development of a novel mathematical model for predicting trapped resin thickness in SLA 3D printing, a groundbreaking contribution that addresses a critical aspect of printing intricate structures. This model, the first to establish a mathematical relationship for resin thickness, is rooted in a comprehensive study of the resin curing process. The research leverages the concept of 'critical dosage' for resin curing, leading to a more refined and theoretically grounded approach for calculating curing thickness. Experimentation further validates the model, highlighting discrepancies with existing graphical models and enhancing our understanding of resin behavior.
Additionally, the research introduces an innovative spiral recirculation valve, designed using 3D printing to create a truly three-dimensional structure. This design marks a departure from traditional two-dimensional approaches and external pump reliance, illustrating the capabilities of 3D printing in creating complex, integrated fluid control systems. The valve operates through the rotational speed manipulation of the centrifugal platform, demonstrating a self-sufficient and streamlined approach to fluid dynamics.
The development of a centrifugal microfluidic platform using 3D printing showcases the method's capability in achieving precise angular speeds for fluid actions. The platform's design and fabrication process provide insights into resin properties, influencing further material science research. The platform's potential applications are vast, including SPE, where it can enhance extraction rates for accurate sample detection.
Date
4-11-2024
Recommended Citation
Qiao, Zheng, "Research on 3D Printing Resin Exposure Properties and Its Application on Centrifugal Microfluidic Platform Based on Fluorescence Detection" (2024). LSU Doctoral Dissertations. 6448.
https://repository.lsu.edu/gradschool_dissertations/6448
Committee Chair
Wang, Wangjun
Included in
Electro-Mechanical Systems Commons, Polymer Science Commons, Semiconductor and Optical Materials Commons