AU Class
AU Class
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Linking DFAM, Design Optimization, and Generative Design

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    Beschreibung

    In this session, we’ll discuss how design for additive manufacture (DFAM) can influence the performance of additively manufactured parts. This session will focus primarily on laser powder-bed fusion, but concepts can be transferable to other additive techniques. We’ll explore lattices, hollow geometries, and thin walls as common features in lightweight designs, including the challenges that these can pose in design, post processing, and actual performance. Autodesk Research is currently undertaking research to characterize how as-built features perform (mechanically) compared to idealized conditions—generic bulk-material values found in literature. This will enable better representation of these features at the design stage to facilitate more accurate simulation and optimization. Attendees will leave more familiar with DFAM, considerations during the design process, and the impacts these have on overall part performance.

    Wichtige Erkenntnisse

    • Learn about DFAM freedoms and constraints
    • Learn about material property variation within the meso scale
    • Learn about design impacts on material properties
    • Learn about mechanical fatigue as a design parameter

    Tags

    Produkt
    Fusion
    Netfabb
    Branchen
    Automotive and other transportation
    Aerospace and defense equipment
    Product design and manufacturing
    Themen
    Additive Manufacturing
    3D Printing
    Manufacturing Processes
    Mechanical Design
    Product Design
    Design
    Design Optimization
    Computational Design
    Design Process
    Simulation & Analysis