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c066729c3fda8d1a6ef6 · A method for characterizing model fidelity in laser powder bed fusion additive manufacturing

A method for characterizing model fidelity in laser powder bed fusion additive manufacturing

As Additive Manufacturing (AM) matures as a technology, predictive modeling methods have become increasingly sought after as a means for process planning, monitoring and control. For many, predictive modeling offers the potential to complement, and in some

Официальный источник · 2016-11-30

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{
  "title_en": "A method for characterizing model fidelity in laser powder bed fusion additive manufacturing",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2016-11-30",
  "date_original": "November 30, 2016",
  "url": "https://www.nist.gov/publications/method-characterizing-model-fidelity-laser-powder-bed-fusion-additive-manufacturing",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Ibrahim Assouroko , Paul Witherell , Felipe LOPEZ",
  "abstract_excerpt_en": "As Additive Manufacturing (AM) matures as a technology, predictive modeling methods have become increasingly sought after as a means for process planning, monitoring and control. For many, predictive modeling offers the potential to complement, and in some",
  "id": "c066729c3fda8d1a6ef6",
  "sources": [
    "NIST Publications"
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  "source_records": [
    {
      "title_en": "A method for characterizing model fidelity in laser powder bed fusion additive manufacturing",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2016-11-30",
      "date_original": "November 30, 2016",
      "url": "https://www.nist.gov/publications/method-characterizing-model-fidelity-laser-powder-bed-fusion-additive-manufacturing",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Ibrahim Assouroko , Paul Witherell , Felipe LOPEZ",
      "abstract_excerpt_en": "As Additive Manufacturing (AM) matures as a technology, predictive modeling methods have become increasingly sought after as a means for process planning, monitoring and control. For many, predictive modeling offers the potential to complement, and in some"
    }
  ],
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