Neural process optimization of pulse plating in the electronic industry

  • Larsen, Jan (Project Manager)
  • Helbo, Carsten (Project Participant)
  • Møller, Per (Project Participant)

    Project Details

    Description

    The purpose of the project is to optimize the pulse plating process
    using mathematical models.
    The traditional electronic industry uses a chemical bath with
    additives to make the through-hole plating on printed circuit
    boards.
    The pulse plating process can make the through plating without the
    additives and even improve the quality of the copper. So there is both
    solution to a environmental problem and a quality problem
    Based on the measurements from plated printed circuit boards the
    mathematical model is used find the optimal pulse parameters. In this
    project there is used artificial neural nets to solve the problem.
    With the final model it should be possible to "feed" the neural net
    with a CAD-design. Based on the design and the "knowledge" of the
    neural net it will be possible to compute the optimal pulse
    parameters.
    StatusActive
    Effective start/end date01/02/1998 → …

    Collaborative partners

    • Technical University of Denmark (lead)
    • Elcon Pcb Technology A/S (Project partner)
    • CHEMBO Productions Ltd A/S (Project partner)
    • AXA Axel Åkerman A/S (Project partner)

    Funding

    • Unknown

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