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Database Platform Design of Lubricating Materials: Machine Learning Performance Prediction - Brossura
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In this book, typical lubricating oils and its additives are as the research object. By constructing a diversified data storage and analysis material database for experimental testing and simulation calculations, an integrated data platform for automatic data entry, retrieval, simulation calculation and performance prediction has been established. Based on molecular simulation calculations, the molecular structure parameters of lubricants and their additives have been analyzed. The weights of the influence of the molecular parameters of the lubricant oil on the tribological properties and thermal oxidation properties are determined.
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Database Platform Design of Lubricating Materials
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Scholars' Press Jul 2023, 2023
ISBN 10: 620552466X
ISBN 13: 9786205524664
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, typical lubricating oils and its additives are as the research object. By constructing a diversified data storage and analysis material database for experimental testing and simulation calculations, an integrated data platform for automatic data entry, retrieval, simulation calculation and performance prediction has been established. Based on molecular simulation calculations, the molecular structure parameters of lubricants and their additives have been analyzed. The weights of the influence of the molecular parameters of the lubricant oil on the tribological properties and thermal oxidation properties are determined. 204 pp. Englisch. Codice articolo 9786205524664
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Database Platform Design of Lubricating Materials
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jia DanDan Jia is a Mechanical Engineer worked for Wuhan Research Institute of Materials Protection, Technology R&D Center.In this book, typical lubricating oils and its additives are as the research object. By constructing a div. Codice articolo 987549706
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Database Platform Design of Lubricating Materials : Machine Learning Performance Prediction
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, typical lubricating oils and its additives are as the research object. By constructing a diversified data storage and analysis material database for experimental testing and simulation calculations, an integrated data platform for automatic data entry, retrieval, simulation calculation and performance prediction has been established. Based on molecular simulation calculations, the molecular structure parameters of lubricants and their additives have been analyzed. The weights of the influence of the molecular parameters of the lubricant oil on the tribological properties and thermal oxidation properties are determined. Codice articolo 9786205524664
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Database Platform Design of Lubricating Materials | Machine Learning Performance Prediction
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Taschenbuch. Condizione: Neu. Database Platform Design of Lubricating Materials | Machine Learning Performance Prediction | Dan Jia (u. a.) | Taschenbuch | Englisch | 2023 | Scholars' Press | EAN 9786205524664 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Codice articolo 127334253
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Database Platform Design of Lubricating Materials
Editore:
Scholars' Press Jul 2023, 2023
ISBN 10: 620552466X
ISBN 13: 9786205524664
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, typical lubricating oils and its additives are as the research object. By constructing a diversified data storage and analysis material database for experimental testing and simulation calculations, an integrated data platform for automatic data entry, retrieval, simulation calculation and performance prediction has been established. Based on molecular simulation calculations, the molecular structure parameters of lubricants and their additives have been analyzed. The weights of the influence of the molecular parameters of the lubricant oil on the tribological properties and thermal oxidation properties are determined.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch. Codice articolo 9786205524664
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