Associate Prof. Jia Li
Project Description and Objectives
With the growing use of plastic around the globe, especially in electronic devices, rapid and autonomous plastic sorting processes have become increasingly necessary in the recycling industry. Near-infrared (NIR) spectroscopy has been proven to be an effective tool for sorting in the recycling, agriculture and pharmaceutical fields. However, there is limited information on its effectiveness in sorting two widely used plastics with very similar reflectance spectra’s, polymethyl methacrylate (PMMA) and methyl methacrylate (MMA). This study initially introduces spectroscopy as a whole and then explores the use of NIR spectroscopy for discriminating between PMMA and MMA (in the wavelength range of 900-1700 nm). The chemometric method of principal component analysis (PCA) is used to create a model which can be used in the future for automated sorting purposes.
Majors in environmental engineering, chemical engineering, computer science or mathematics are preferred.
Build a platform for NIR spectroscopy discriminating.
Use the method of principal component analysis (PCA) to create a model.
Finish a research report, give two research presentations (a. reference review; b. technical presentation)