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Filtering by: Creator Omi, Steven Katsu Remove constraint Creator: Omi, Steven Katsu Degree Field Mechanical Engineering Remove constraint Degree Field: Mechanical Engineering

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  • Automated Rapid Manufacturing Feedback for Design Considering Advanced Joining Processes

    Creator:
    Chan, Rothanak
    Abstract:
    As manufacturing advancements continue to develop, designers must be able to consider these technologies during the design process. Unfortunately, many of these new technologies, such as additive and advanced joining, have many nuances that require expert knowledge to effectively apply. Additionally, new design techniques, such as topology optimization, allow users...
    Resource Type:
    Masters Thesis
    Full Text:
    and the Oregon Metals Initiative (OMI) for their financial support. Views expressed in this thesis

  • Dividing Complex Parts into Multiple Pieces for Advanced Joining and Additive Manufacturing

    Creator:
    Massoni, Brandon R.
    Abstract:
    Poor material utilization is inherent to conventional manufacturing processes, leading to high material waste and machining times. Additive manufacturing processes attempt to solve this issue by allowing production of near-net shapes, but the processes may be too expensive or infeasible. By leveraging both processes in a single part, the waste...
    Resource Type:
    Masters Thesis
    Full Text:
    of, Prof. Karl Haapala, Prof. David Kim, Harsha Malshe, Steven Lindberg, Ryan Allen, and Rothanak

  • Automated decomposition of complex parts for manufacturing with advanced joining processes

    Creator:
    Massoni, Brandon R.
    Abstract:
    Recent advancements in joining operations and additive manufacturing now allow complex metal parts to be built up from raw materials, as opposed to being machined down from solid blocks. This not only opens up the design space, but also allows for much more efficient manufacturing. By decomposing a complex part...
    Resource Type:
    Dissertation
    Full Text:
    Prof. Karl Haapala, Prof. David Kim, Rothanak Chan, Harsha Malshe, Steven Lindberg, Ryan Allen, and