The cohesion and adhesion parameters are the two essential parameters in the Shan-Chen multicomponent and multiphase lattice Boltzmann models for determining the separation of fluids and the wettability of surfaces, and thus should be carefully chosen. In this study, we propose a systematic method of determining these parameters from a physical point of view. The cohesion parameters of different water/alkane systems are determined by matching the interfacial tensions, and the adhesion parameters between the water/alkane and the silicon dioxide are obtained by matching the contact angles as such that their physical meanings are preserved. Based on the linear relationship between the interfacial tension and the cohesion/adhesion forces, an improved equation for predicting the adhesion parameter is proposed and validated by comparing the simulated contact angles using the predicted adhesion parameters with experimental results. Further, the effect of cohesion and adhesion parameters on the advancing and receding angles of the oil slug in a capillary tube in the movement initialization process was also investigated.

内聚力和附着力参数是Shan-Chen多组分和多相晶格Boltzmann模型中确定流体分离和表面润湿性的两个基本参数，因此应谨慎选择。在这项研究中，我们提出了一种从物理角度确定这些参数的系统方法。通过匹配界面张力来确定不同水/烷烃体系的内聚参数，并且通过匹配接触角来获得水/烷烃与二氧化硅之间的粘附参数，从而保留它们的物理含义。根据界面张力与内聚力/内聚力之间的线性关系，提出了一种改进的预测附着力参数的方程式，并通过将使用预测的附着力参数的模拟接触角与实验结果进行比较，验证了该方程式的有效性。此外，还研究了内聚力和粘附力参数对运动初始化过程中毛细管中油团的前进和后退角度的影响。