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Experimental and modeling investigations of the interfacial tension of three different diesel + nitrogen mixtures at high pressures and temperatures

机译:三种不同柴油+氮气混合物在高压与温度下的互流张力的实验和建模研究

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Interfacial tension (IFT) data are reported at temperatures up to 530 K and pressures up to 100 MPa for mixtures of N-2 with a highly paraffinic diesel, an ultra-low sulfur diesel, and a highly aromatic diesel. The impact of composition on the IFT is determined by comparing data for each system at the same temperature and pressure calculated from a Tait-like relationship fit to the experimental data. The greatest differences in diesel + N-2 IFT values are found near the normal boiling point (T-boil) of each diesel where lower molecular weight diesel components begin to dissolve in the N-2-rich vapor phase. IFT data are modeled with density gradient theory (DGT) coupled with the perturbed-chain, statistical associating fluid theory equation of state (EoS). Diesel EoS parameters are calculated using three variations of a pseudo-component technique created from one group contribution (GC) method developed from high-pressure density data and from two other GC methods (S-GC and T-GC) developed from differing sets of pure component vapor pressure and saturated liquid density data. The IFT predictions significantly improve when the DGT influence parameter, c(ii,) is allowed to vary with temperature. The DGT predictions with the B-GC method are in closest agreement with data at temperatures below T-boil, which is attributed to the more accurate representation of liquid phase densities. However, at temperatures above T-boil where significant amounts of low molecular weight diesel components dissolve in the N-2-rich vapor phase, DGT predictions with the S-GC and T-GC methods provide the closest agreement with IFT data.
机译:界面张力(IFT)数据在高达530 k的温度下报告,并高达100MPa的N-2的混合物,具有高度石蜡柴油,超低硫柴油和高芳族柴油。通过比较来自与实验数据的扦插关系计算的相同温度和压力,通过比较每个系统的数据来确定组合物对IFT的影响。柴油+ N-2 IFT值的最大差异位于每个柴油的正常沸点(T-沸点)附近,其中较低分子量柴油组分开始溶解在富n-2的气相中。 IFT数据以密度梯度理论(DGT)为模型,与扰动链耦合,统计关联流体理论方程(EOS)。柴油EOS参数使用从高压密度数据和从不同组开发的另外两种GC方法(S-GC和T-GC)产生的一个组贡献(GC)方法产生的伪组件技术的三种变体计算纯组分蒸气压和饱和液体密度数据。当DGT影响参数C(II)允许温度时,IFT预测显着改善。与B-GC方法的DGT预测与低于T-obp的温度最近的数据,这归因于液相密度的更准确表示。然而,在高于T-沸腾的温度下,其中大量的低分子量柴油组分溶解在富n-2的气相中,与S-GC和T-GC方法的DGT预测提供了与IFT数据最近的协议。

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