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bbc8d89e2bf1e90954d6 · 3D BUILD MELT POOL PREDICTIVE MODELING FOR POWDER BED FUSION ADDITIVE MANUFACTURING

3D BUILD MELT POOL PREDICTIVE MODELING FOR POWDER BED FUSION ADDITIVE MANUFACTURING

Melt pool size is a critical intermediate measure that reflects the outcome of a laser powder bed fusion process setting. Reliable melt pool predictions prior to builds can help users to evaluate potential part defects such as lack of fusion and over

Официальный источник · 2020-08-16

Полные импортированные сведения карточки
{
  "title_en": "3D BUILD MELT POOL PREDICTIVE MODELING FOR POWDER BED FUSION ADDITIVE MANUFACTURING",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2020-08-16",
  "date_original": "August 16, 2020",
  "url": "https://www.nist.gov/publications/3d-build-melt-pool-predictive-modeling-powder-bed-fusion-additive-manufacturing",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Zhuo Yang , Yan Lu , Ho Yeung , Sundar Krishnamurty",
  "abstract_excerpt_en": "Melt pool size is a critical intermediate measure that reflects the outcome of a laser powder bed fusion process setting. Reliable melt pool predictions prior to builds can help users to evaluate potential part defects such as lack of fusion and over",
  "id": "bbc8d89e2bf1e90954d6",
  "sources": [
    "NIST Publications"
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    {
      "title_en": "3D BUILD MELT POOL PREDICTIVE MODELING FOR POWDER BED FUSION ADDITIVE MANUFACTURING",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2020-08-16",
      "date_original": "August 16, 2020",
      "url": "https://www.nist.gov/publications/3d-build-melt-pool-predictive-modeling-powder-bed-fusion-additive-manufacturing",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Zhuo Yang , Yan Lu , Ho Yeung , Sundar Krishnamurty",
      "abstract_excerpt_en": "Melt pool size is a critical intermediate measure that reflects the outcome of a laser powder bed fusion process setting. Reliable melt pool predictions prior to builds can help users to evaluate potential part defects such as lack of fusion and over"
    }
  ],
  "translation_state": "none"
}