The first one is a group contribution model for the prediction of the thermal conductivity of polymer melts.
首先，本工作开发了一基团贡献模型用于预测常压下聚合物熔体的导热系数。
The UNIFAC group contribution model has been successfully utilized for prediction of L-L-E data of this system.
成功地利用UNIFAC基团贡献模型预测了本体系的液液平衡数据。
The UNIFAC group contribution model is used for the prediction of the equilibrium data with satisfactory results.
用基团贡献模型UNIFAC预测了两相平衡浓度，结果令人满意。
In view of simple group contribution and bond module index, a universal model was set up as the following:, and bond contribution data from 1228 substances were calculated by this equation.
本文根据以前传统或复合基团相互作用法的模型并且考虑到本方法模指数的概念，提出了一般物性估算模型方程：，根据此模型对1228种物质进行拟合得出基团相互作用键的贡献值。
Based onthe molecular QCLC model, a group contribution quasi-chemical local composition model is proposed, in which polar molecule is divided into several non-polar functional groups.
本文在前文的分子模型基础上，提出了似化学局部组成的基团模型，可用于极性分子混合物申组分活度系数的预测。
Furthermore, the correlation and prediction are made by using UNIFAC model and UNIFAC MH81 group contribution equation of state, the results of which are in good agreement.
并分别用UNIFAC模型和UNIFAC -MH81基团贡献型状态方程作了关联和预测，结果符合得较好。
Furthermore, the correlation and prediction are made by using UNIFAC model and UNIFAC MH81 group contribution equation of state, the results of which are in good agreement.
并分别用UNIFAC模型和UNIFAC -MH81基团贡献型状态方程作了关联和预测，结果符合得较好。
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