The Development of Environment-Friendly and Energy-Saving Engineering Machinery General Oil

Abstract:

This article combines with the engineering machinery of diesel engine, the hydraulic system, the gear system, the hydraulic transmission system using oil of performance requirements; in order to meet the need of engineering machinery actual using condition. Through the study of base oil, antioxidant and corrosion inhibitor, detergent and dispersant additive, extreme pressure and anti-wear agent, rust inhibitor, anti-emulsifier, anti-foam agent, etc composite additives. using Poly-α-olefin (PAO) and dioctyl sebacate composite act as the engineering machinery general oil of base oil, and by using the artificial neural network algorithm targeted to a variety of the functional additive of screening and prediction, and using the genetic algorithm optimists the selection of formula, develop the environment-friendly and energy-saving engineering machinery general oil.

• Periodical: Applied Mechanics and Materials (Volume 331)
• Pages: 321-325
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.331.321
• Online since: July 2013
• Authors: Fu Chuan Huang, Xing Zhong Tang, Man Rong Su
• Keywords: Artificial Neural Network Algorithm, Composite Additives, Engineering Machinery, General Oil, Genetic Algorithm (GA)

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