711ff37a16dc3c5189af · Knowledge Management for Data Analytics in Additive Manufacturing
Knowledge Management for Data Analytics in Additive Manufacturing
As a multi-staged digital manufacturing process, Additive manufacturing (AM) inherently benefits from data analytics (DA) decision-making opportunities. The abundance of data associated with the various observations and measurements taken throughout the
{
"title_en": "Knowledge Management for Data Analytics in Additive Manufacturing",
"designation": "",
"series": "",
"status": "",
"date": "2023-11-21",
"date_original": "November 21, 2023",
"url": "https://www.nist.gov/publications/knowledge-management-data-analytics-additive-manufacturing",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Yeun Park , Paul Witherell , Albert T. Jones , Hyunbo Cho",
"abstract_excerpt_en": "As a multi-staged digital manufacturing process, Additive manufacturing (AM) inherently benefits from data analytics (DA) decision-making opportunities. The abundance of data associated with the various observations and measurements taken throughout the",
"id": "711ff37a16dc3c5189af",
"sources": [
"NIST Publications"
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{
"title_en": "Knowledge Management for Data Analytics in Additive Manufacturing",
"designation": "",
"series": "",
"status": "",
"date": "2023-11-21",
"date_original": "November 21, 2023",
"url": "https://www.nist.gov/publications/knowledge-management-data-analytics-additive-manufacturing",
"source": "NIST Publications",
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"authors_en": "Yeun Park , Paul Witherell , Albert T. Jones , Hyunbo Cho",
"abstract_excerpt_en": "As a multi-staged digital manufacturing process, Additive manufacturing (AM) inherently benefits from data analytics (DA) decision-making opportunities. The abundance of data associated with the various observations and measurements taken throughout the"
}
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