Title of article
PVT Properties of Pure Lubricants Using Equations of State and Artificial Intelligence
Author/Authors
Zolfaghari, Hamideh Department of Chemistry - Yasouj University , Yousefi, Fakhri Department of Chemistry - Yasouj University
Pages
20
From page
181
To page
200
Abstract
Statistical mechanical and artificial intelligence models are developed to predict the volumetric properties of lubricants under different conditions. It is shown that the knowledge of just liquid density at room temperature is satisfactory to approximate the PVT properties of pure lubricants in various conditions. As well, the performance of an artificial neural network (ANN) based on back propagation training with 7 neurons in a hidden layer for forecasting of behavior of lubricants was investigated. The average absolute deviations from literature for 1269 data points of pure lubricants using the improved Ihm-Song-Mason equation of state, Tao-Mason equation of state and ANN at different conditions are calculated to be 0.75%, 0.25% and 0.17%, respectively.
Keywords
Lubricant , Statistical mechanics , Artificial neural network , Volumetric property
Serial Year
2019
Record number
2496564
Link To Document