Porous Structural Design for Additive Manufacturing and Improved Damage Tolerance

Suguang Dou*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    Abstract

    Porous structural design has attracted tremendous interest because of the advances in additive manufacturing and the superior characteristics of porous structures. This study presents a filter approach for porous structural design in the framework of single-scale density-based topology optimization. It in principle follows the idea to control porosity by limiting the local volume fraction of material.These local limits are usually incorporated into the optimization problem as a number of individual constraints or one condensed constraint. In contrast to the conventional constraint approach, a filter approach is proposed here to explicitly integrate these local limits into the material interpolation and have them automatically satisfied during the optimization iterations. A variety of numerical examples have been studied to validate the effectiveness of the filter approach.
    Original languageEnglish
    Title of host publicationAdvances in Structural and Multidisciplinary Optimization : Proceedings of The World Congress of Structural and Multidisciplinary Optimization (WCSMO13)
    EditorsXu Guo, Hai Huang
    PublisherDalian University of Technology Electronic & Audio-visual Press
    Publication date2019
    Pages240-244
    ISBN (Print)978-7-89437-207-9
    Publication statusPublished - 2019
    Event13th World Congress of Structural and Multidisciplinary Optimization - China National Convention Center, Beijing, China
    Duration: 20 May 201924 May 2019
    Conference number: 13
    http://www.wcsmo13.org/

    Conference

    Conference13th World Congress of Structural and Multidisciplinary Optimization
    Number13
    LocationChina National Convention Center
    Country/TerritoryChina
    CityBeijing
    Period20/05/201924/05/2019
    Internet address

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