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    Item type:Research Data, Access status: with files ,
    Supplementary material to publication with title: On resource efficient and individualized tree support structures for PBF-LB/M by process simulation
    This dataset is supplementary material to the publication with the title "On resource efficient and individualized tree support structures for PBF-LB/M by process simulation" of the Fraunhofer Direct Digital Manufacturing Conference (DDMC) 2025, 12 – 13 March 2025, Berlin/Germany. The corresponding paper investigates a novel approach combining numerical process simulation with a user-friendly software tool to design resource-efficient tree support structures. A demonstrator part, manufactured from Ti6Al4V titanium ally, was used to validate the effectiveness of these generative support designs. The accuracy of the process simulation was assessed by comparing numerical results with geometrical displacements, obtained by 3D scanning the additively manufactured demonstrator parts. Additionally, the newly designed support structures were compared against widespread block supports, focusing on material consumption and geometrical precision. The results demonstrate that the presented approach allows for the creation of individualized and efficient support structures, leading to faster print preparation and reduced manufacturing costs. Moreover, new and promising manufacturing limits for thin rods in PBF-LB/M were identified in a parameter study. Overall, the integration of advanced support design techniques shows promise for enhancing the sustainability and cost-effectiveness of PBF-LB/M.
    Data Type: Dataset
      56  59
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    Item type:Research Data, Access status: with files ,
    Supplementary material (Version 2) to publication with title: Development of a tree-support software module for PBF-LB/M
    The goal of this work was to develop a tool that allows users with little experience to manufacture components with efficient support structures using PBF-LB/M. Tree shaped structures were used and created via algorithmic, biological growth using botanical methods. TO was used to optimize the support structures. The generated trees were then compared to two commercially available supports using FEA to simulate the whole PBF-LB/M process including a stress relief heat treatment and the removal of the part from build plate and supports. The data is supplementary material to the publication with the title " Development of a tree-support software module for PBF-LB/M " of the conference Laser in Manufacturing (LiM) 2023, 26 - 29 July 2023, Munich/Germany.
    Data Type: Dataset
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