Tweaking Printer Driver for Improved Conductivity in Instant Inkjet Circuits

  • Tung TaDuc
    Graduate School of Information Science and Technology, The University of Tokyo
  • Wei Wei
    Graduate School of Information Science and Technology, The University of Tokyo
  • Quan DuongMinh
    Graduate School of Information Science and Technology, The University of Tokyo
  • Yoshihiro Kawahara
    Graduate School of Information Science and Technology, The University of Tokyo
  • Tohru Asami
    Graduate School of Information Science and Technology, The University of Tokyo

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Abstract

We have proposed "Instant Inkjet Circuits" that allows users to print circuits using a home inkjet printer. The benefits of using this technique were the cost effectiveness, widely available toolset and very short time of fabrication. However, default setting of an inkjet printer can only print less complex circuits. Without controlling the printing process, it is hard to improve the performance of the printed circuit/pattern. For example, the sheet resistance of printed pattern, which was reportedly about 0.19 ohm per square(Ω/□)[1], has limited the performance and the usage range of this technology. For instance, we have been using an inkjet printed antenna in researching of Wireless Power Transmission for a long time. However, the resistance of printed antenna has decreased the transmission efficiency a lot. In order to increase the Q-factor of Wireless Power Transmission antenna, conductivity must be improved. In this paper, we improved the conductivity by over-printing. We tweaked the open source printer driver named Gutenprint which can be used in many ink-jet printer brands. In addition to overprinting, we also adjust the printing density to see how the sheet resistance changes. According to our measurement results, the sheet resistance of ten times overprinted pattern was successfully decreased to 0.043Ω/□.

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Details 詳細情報について

  • CRID
    1572261552746119680
  • NII Article ID
    110009781853
  • NII Book ID
    AA11838947
  • ISSN
    09196072
  • Text Lang
    en
  • Data Source
    • CiNii Articles

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