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3 results for “1.2709”
Vibration assisted drilling (VAD) application to the manufactured maraging steel X3NiCoMoTi18-9-5 (1.2709) and aluminium AlSi10Mg (EN AC-43000) parts
<p>Repository containing data from vibration assisted drilling (VAD) experiments on steel and Aluminum 3D powderbed manufactured parts.</p> <p>Please refer to README.MD (or .PDF), which contains a brief description of the chosen materials, parts and tools An explanation of the data aquisition and processing methods, together with the used nomenclature is given as well.</p>
Primary collected data for modelling the additive MAR/R process by means of the PBF-LB process based on the example of tool steel 1.2709 powder
<p>For the evaluation of a MAR/R process, not only process-, material- and demonstrator-specific correlations and data must be combined. In addition to secondary data (e.g. databases, publications, etc.), primary data (e.g. process times, volume flows, etc.) must also be collected for the specific application.</p> <p>The attached table shows the primary data to be collected for the cradle-to-gate process depending on the process phases and steps. This data is used as support for ecological as well as economic process and component evaluations.</p>
Supplementary data repository for publication "Machine hammer peening as a post-processing treatment for powderbed manufactured maraging steel X3NiCoMoTi18-9-5 (1.2709)"
<p>Supplemantary data repository for investigation on powderbed 3D printed tesnile specimens in raw and postprocessed conditions.</p> <p>This readme contains a brief description of the chosen materials, parts and testing devices as well as the perfomed testing methods, including tensile testing, hardness testing and microstructural analysis, with references to the respective supplementary data in the repository. An explanation of the data aquisition and processing methods, together with the used nomenclature is given as well.</p> <p>The dataset is compressed as `Dataset.zip` to preserve the folder structure.</p> <p>See README.MD or README.PDF for detailed description of the dataset.</p> <p> </p>
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