Polymer microfluidics is one of the important technology in the biomedical chip, point-of-care-testing diagnostic, analytical chemistry, and environmental applications. Due to the low-cost, light-weight advantages, polymer material provides great potential for disposable microfluidics applications. In currently polymer microfluidics development, many successfully microfluidics designs have transferred to commercialization using polymer materials and many biomedical, chemical, environment analysis users have to apply microfluidics system as their analytical platform. However, in currently stages, due to the low fabrication quantity and high design variety nature of the polymer microfluidic device. Besides, there is currently no one-fit-for-all fabrication and design rule for the microfluidics system. Therefore, it usually required a well-trained expert to design optimum strategy for polymer microfluidics production. These fabrication challenges fundamentally constrained the polymer microfluidics technology commercialization possibility. Thus, I propose the “Intelligent polymer microfluidics manufacturing development and investigation” project. Starting from fundamental polymer microfluidics process and theoretical development to the final intelligent manufacturing integration. The goal of this project is to establish a “Design in – Device out” intelligent polymer microfabrication fabrication house. Three major stages target to complete within three years. The 1st stage focus on developing key front-end and back-end polymer microfluidics procedures and 2nd stage focus on establishing the theoretical model for the intelligent learning system. And 3rd stage focus on the integration of each key polymer microfabrication process with intelligent manufacturing module to create the intelligent polymer microfabrication production line.
|Effective start/end date||1/08/18 → 31/07/19|
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):