title: [Detection of low temperature rheologic behavior of lubricating oil by FTIR].
abstract: The composition and structure of lubricating oil expressed by FTIR were used for its characterization. Artificial nervous network was used as a mathematical model. CCS-15C viscosity of base oil was forecasted and good result was obtained. The result has shown that the artificial nervous network is an effective mathematical model for studying the relation between the composition and structure of lubricating oil and its performance.
authors.affiliation: Oil and Fuel Testing Center, Logistic Engineer University, 400042 Chongqing.
authors.forename: X
authors.initials: X
authors.lastname: Feng
authors.forename: Y
authors.initials: Y
authors.lastname: Shi
authors.forename: Q
authors.initials: Q
authors.lastname: Wang
authors.forename: Z
authors.initials: Z
authors.lastname: Li