Image-based Non-Contact Conductivity Prediction for Inkjet Printed Electrodes and Follow-Up Work of Toner Usage Prediction for Laser Electro-photographic Printers

Yang Yan, Purdue University

Abstract

Yan, Yang M.S.E.C.E., Purdue University, August 2019. Image-Based Non-Contact Conductivity prediction for Inkjet Printed Electrodes and follow-up work of toner usage prediction for laser electro-photographic printers . Major Professor: Jan P. Allebach. This thesis includes two parts. The main part is on the topic of conductivity prediction for Inkjet printed silver electrodes. The second part is about the follow-up work of toner usage prediction of laser electro-photographic printers. Conductivity Prediction For Inkjet Printed Silver Electrodes Recently, electronic devices made with Inkjet printing technique and flexible thin films have attracted great attention due to their potential applications in sensor manufacturing. This imaging system has become a great tool to monitor the quality of Inkjet printed electrodes due to the fact that most thickness or resistance measuring devices can destroy the surface of a printed electrode or even whole electrode. Thus, a noncontact image-based approach to estimate sheet resistance of Inkjet printed electrodes is developed. The approach has two stages. Firstly, strip-shaped electrodes are systematically printed with various printing parameters. The sheet resistance measurement data as well as images of the electrodes are acquired. Then, based on the real experimental data, the fitting model is constructed and further used in predicting the sheet resistance of the Inkjet printed silver electrodes. Toner Usage Prediction With the widespread use of laser electro-photographic printers in both industry and households fields, estimation of toner usage has great significance to ensuring the full utilization of each cartridge. The follow-up work is focused on testing and improving feasibility, reliability, and adaptability of the Black Box Model (BBM) based two-stage strategy in estimating the toner usage. Comparing with previous methods, the training process for the first stage requires less time and disk storage, all while maintaining high accuracy. For the second stage, experiments are performed on various models of printers, with cyan(C), magenta(M), yellow(Y), and black(K) color cartridges.

Degree

M.Sc.

Advisors

Allebach, Purdue University.

Subject Area

Condensed matter physics|Industrial engineering|Materials science|Nanotechnology|Optics|Physics

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