The ultrafine particle aggregation arising from Brownian aggregation and Turbulence aggregation in turbulence aggregation device was studied, especially influences of short range force (van der Walls attraction and electric repulsion) among particles and hydrodynamics between particle and gas upon particle aggregation. Based on user-defined aggregation kernel of UDF function of FLUENT software, influences of short range force and hydromechanics among particles upon aggregation rate were studied and aggregation kernel was corrected using collision efficiencyα. Then, a corrected turbulence aggregation model was established and was compared with an ideal turbulence aggregation model. Particle aggregation process underwent numerical simulation using population balance model (PBM) coupling CFD and population balance equation was solved using differential-algebraic framework (DAE-QMOM). The results showed an error of 8.92% between the ideal turbulence aggregation model and the experimental result and an error of 3.35%between the corrected turbulence aggregation model and the experimental result, the latter conformed to practical situations better. Differential-algebraic quadrature method of moment as a high efficiency, a small error rate and a high reliability, it has obvious advantages over PD quadrature method of moment.%研究聚并器内布朗聚团和湍流聚团引起超细颗粒聚团，特别考虑颗粒之间近程力（范德华引力、静电斥力）和颗粒与气体之间的流体力学作用力对颗粒聚团的影响。基于FLUENT软件UDF功能自定义聚团核，考虑颗粒之间近程力和流体力学作用力对聚并率的影响，引入碰撞效率α对聚团核进行修正，得到修正湍流聚并模型并将该模型与理想湍流聚并模型进行比较。应用群体平衡模型(population balance model，PBM)耦合CFD对颗粒聚团过程进行数值模拟，并采用微分代数积分矩量法(DAE-QMOM)求解群体平衡方程。结果表明：理想湍流聚并模型与实验结果误差为8.92%，而修正改进的湍流聚团模型与实验结果误差仅为3.35%，更加符合实际情况；微分代数积分矩量法具有较高的效率，而且误差较小，相比PD积分矩量法有明显的优势，稳定性也比较突出。
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