Cleaning of Metals by Electrolysis.

    公开(公告)号:GB131455A

    公开(公告)日:1919-08-22

    申请号:GB1364218

    申请日:1918-08-22

    Abstract: 131,455. Jascowitz, I., and Rosenbaum, J. Aug. 22, 1918. Metals, pickling.-An electrolyte consists of a solution of spent caustic melt, obtained in the manufacture of #-naphthol, phenol, alizarine, resorcin, &c., and consisting of caustic soda, sodium sulphite, sulphate, and carbonate, and a little phenolate or the like. Alternatviely, a prepared solution of similar composition may be used. The electrolyte may be heated to 90‹ C. The articles form cathodes.

    BASE OIL PROPERTIES EXPERT SYSTEM
    4.
    发明申请
    BASE OIL PROPERTIES EXPERT SYSTEM 审中-公开
    基础油专家系统

    公开(公告)号:WO2009085834A1

    公开(公告)日:2009-07-09

    申请号:PCT/US2008/087180

    申请日:2008-12-17

    Abstract: A method for predicting properties of lubricant base oil blends, comprising the steps of generating an NMR spectrum, HPLC-UV spectrum, and FIMS spectrum of a sample of a blend of at least two lubricant base oils and determining at least one composite structural molecular parameter of the sample from said spectra. SIMDIST and HPO analyses of the sample are then generated in order to determine a composite boiling point distribution and molecular weight of the sample from such analysis. The composite structural molecular parameter, the composite boiling point distribution and the composite molecular weight are applied to a trained neural network trained to correlate with the composite structural molecular parameter, the composite boiling point distribution and the composite molecular weight so as to predict composite properties of the sample. The properties comprise Kinematic Viscosity at 40 C, Kinematic Viscosity at 100 C, Viscosity Index, Cloud Point, and Oxidation Performance.

    Abstract translation: 一种用于预测润滑剂基础油共混物的性质的方法,包括以下步骤:产生至少两种润滑剂基础油的共混物的样品的NMR光谱,HPLC-UV光谱和FIMS光谱,并确定至少一个复合结构分子参数 的样品来自所述光谱。 然后生成样品的SIMDIST和HPO分析,以便从这种分析确定样品的复合沸点分布和分子量。 复合结构分子参数,复合沸点分布和复合分子量应用于训练有素的神经网络,与复合结构分子参数,复合沸点分布和复合分子量相关,以预测复合材料的复合材料性能 例子。 性能包括40℃的运动粘度,100℃的运动粘度,粘度指数,浊点和氧化性能。

Patent Agency Ranking