Automated intelligent system for lubricant manufacture optimization
    9.
    发明授权
    Automated intelligent system for lubricant manufacture optimization 有权
    自动智能系统,用于润滑油制造优化

    公开(公告)号:US07684933B2

    公开(公告)日:2010-03-23

    申请号:US11982893

    申请日:2007-11-06

    IPC分类号: G01N31/00

    摘要: A method and system to blend components to form a lubricant having a predetermined characteristic. The method includes determining the characteristic from a model that relates that characteristic as a function of the amount of its components and properties of the components. These predetermined characteristics include KV (kinematic viscosities), CCS (cold cranking simulator), HTHS (high temperature, high shear viscosity), Noack Volatility, MRV (mini-rotary viscometer), Brookfield Viscosity, Soot-Dispersancy, Oxidation, Deposit, Wear, Sulfur, Phosphorus, Base Number, Color, Ash Content, Aniline Point, Acid Number, Viscosity Index, Turbidity, Demulsibility, Foam Stability, Acute Toxicity, Biodegradability, Nitrogen, and Detergency.

    摘要翻译: 一种混合组分以形成具有预定特性的润滑剂的方法和系统。 该方法包括从模型确定特征,该模型将该特征与其组件的量和组件的属性的函数相关联。 这些预定特性包括KV(运动粘度),CCS(冷启动模拟器),HTHS(高温,高剪切粘度),Noack Volatility,MRV(微型旋转粘度计),Brookfield粘度,烟灰分散性,氧化,沉积, ,硫,磷,碱值,颜色,灰分含量,苯胺点,酸值,粘度指数,浊度,破乳性,泡沫稳定性,急性毒性,生物降解性,氮和洗涤度。