⌕ Поиск по атласу

NIST · ИТ · 98e4c9114e16aac6f856

98e4c9114e16aac6f856 · Towards a generalized energy prediction model for machine tools

Towards a generalized energy prediction model for machine tools

Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based energy prediction models have been proposed in the past to understand the

Официальный источник · 2016-11-09

Полные импортированные сведения карточки
{
  "title_en": "Towards a generalized energy prediction model for machine tools",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2016-11-09",
  "date_original": "November 9, 2016",
  "url": "https://www.nist.gov/publications/towards-generalized-energy-prediction-model-machine-tools",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Raunak Bhinge, Jinkyoo Park, Kincho H. Law, David Dornfeld, Moneer Helu , Sudarsan Rachuri",
  "abstract_excerpt_en": "Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based energy prediction models have been proposed in the past to understand the",
  "id": "98e4c9114e16aac6f856",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Towards a generalized energy prediction model for machine tools",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2016-11-09",
      "date_original": "November 9, 2016",
      "url": "https://www.nist.gov/publications/towards-generalized-energy-prediction-model-machine-tools",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Raunak Bhinge, Jinkyoo Park, Kincho H. Law, David Dornfeld, Moneer Helu , Sudarsan Rachuri",
      "abstract_excerpt_en": "Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based energy prediction models have been proposed in the past to understand the"
    }
  ],
  "translation_state": "none"
}