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  "title": "AM Bench 2022 3D Build with Custom Laser Scan Strategies Modeling Challenge (AMB2022-02)",
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    "The following data files are provided in support of the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) modeling challenges associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects using variety of custom scan strategies.\u00a0 These AM builds were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT,\u00a0https://www.nist.gov/el/ammt-temps).\u00a0 Note that these 3D builds are an extension of those for the AMB2022-01 challenges, and part geometry, materials data, and 'nominal' 3D build data are available in the corresponding data repository (https://doi.org/10.18434/mds2-2607)",
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      "citation": "Yeung, H., Hutchinson, K., & Lin, D. (2021). Design and Implementation of Laser Powder Bed Fusion Additive Manufacturing Testbed Control Software. University of Texas at Austin. https://doi.org/10.26153/TSW/17660"
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      "citation": "Yeung, H. , Neira, J. , Lane, B. , Fox, J. and Lopez, F. (2016), Laser Path Planning and Power Control Strategies for Powder Bed Fusion Systems, Proceedings of the Solid Freeform Fabrication Symposium, Austin, TX, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=921536"
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