
Database Platform Design of Lubricating Materials
Machine Learning Performance Prediction
Scholars' Press
Published on 31. July 2023
Book
Paperback/Softback
204 pages
978-620-5-52466-4 (ISBN)
Description
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.
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 13 mm
Weight
322 gr
ISBN-13
978-620-5-52466-4 (9786205524664)
Schweitzer Classification
Persons
Dan Jia is a Mechanical Engineer worked for Wuhan Research Institute of Materials Protection, Technology R&D Center.