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An Empirical Approach for the Development of Process Parameters for Laser Powder Bed Fusion.

作者信息

Pfaff Aron, Jäcklein Martin, Schlager Max, Harwick Wilfried, Hoschke Klaus, Balle Frank

机构信息

Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, Ernst-Zermelo-Str. 4, 79104 Freiburg, Germany.

Department for Sustainable Systems Engineering (INATECH), Walter and Ingeborg Herrmann Chair for Engineering of Functional Materials (EFM), University of Freiburg, 79085 Freiburg, Germany.

出版信息

Materials (Basel). 2020 Nov 27;13(23):5400. doi: 10.3390/ma13235400.

DOI:10.3390/ma13235400
PMID:33261091
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7730909/
Abstract

For certain additive manufacturing technologies the choice of available materials is currently limited. The development of process parameters is especially elaborate for powder bed technologies. Currently, there is no common approach concerning the procedure and documentation. This work proposes a methodology for the initial development of process parameters for new L-PBF (laser powder bed fusion) alloys. Key elements are the examination of the laser-powder-bed interaction by single laser track experiments and an iterative design of experiment (DoE) approach for the development of volumetric parameters. Two types of single laser track experiments are presented and provide information regarding the laser track width and depth as well as the resulting surface roughness and melt pool classification. Based on the information gained, suitable process windows for a DoE study can be defined by avoiding parameter settings unsuitable for production or measurement. Gradually, input variables are identified and iterative steps reduce the process window in order to optimize the desired target values. Near-surface exposure parameters are developed by a one-dimensional parameter variation and metallographic investigations. The approach is primarily designed for the initial development of process parameters for new L-PBF alloys. However, the information gained can also be used to optimize established parameter sets regarding new target values (productivity, mechanical properties), optimize process parameters for specific components or for a microstructural design.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/9f5daba79140/materials-13-05400-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/72b40a885f1a/materials-13-05400-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/f6ef0f6a1dfd/materials-13-05400-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/1d015d296af2/materials-13-05400-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/ce9cff254ea0/materials-13-05400-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/9f5daba79140/materials-13-05400-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/72b40a885f1a/materials-13-05400-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/f6ef0f6a1dfd/materials-13-05400-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/1d015d296af2/materials-13-05400-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/ce9cff254ea0/materials-13-05400-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d07e/7730909/9f5daba79140/materials-13-05400-g006.jpg

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