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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Dan Jia is a Mechanical Engineer worked for Wuhan Research Institute of Materials Protection, Technology R&D Center.
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Taschenbuch. Zustand: 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: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 127334253
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