Data for: Modeling pvT behavior of semi-crystalline polymer based on the two-domain Tait equation of state considering cooling rate

The data gives the pressure–specific volume–temperature (pvT) data of a semi-crystalline polymer: polypropylene (PP) including the experimental results and prediction results by the modified new pvT models. The experimental data was from the pvT measurement at the temperature ranged from 260 to 30 °C with cooling rates of 2, 5, and 10 °C/min at the isobarci pressure levels of 200, 400, 800, 1200 and 1600 bar. Accordingly, the data was used for the estimation of constant parameters of the modified two-domain Tait equation of state. The models showed different prediction accuracy. The continuous two-domain Tait equation of state considering cooling rate for semi-crystalline polymers is the best pvT model to be used in the polymer engineering especially injection molding. The model was successfully applied to predict the specific volume in the mold cavity during injection molding. The trace of specific volume shows difference when considering the effect of cooling rate, compared with the traditional prediction.本数据集涵盖半结晶聚合物聚丙烯（polypropylene, PP）的压力-比体积-温度（pressure-specific volume-temperature, pvT）数据，包含实验测试结果与改进型新型pvT模型的预测结果。实验数据来自pvT测量，测试温度范围为260℃至30℃，冷却速率分别为2、5、10℃/min，等压压力级别涵盖200、400、800、1200及1600 bar。据此，该数据集被用于估算改进型双域Tait状态方程的常参数。不同模型的预测精度存在差异。针对半结晶聚合物且考虑冷却速率影响的连续型双域Tait状态方程，是聚合物工程领域（尤其注塑成型方向）的最优pvT模型。该模型已成功应用于注塑成型过程中模腔内部比体积的预测。与传统预测结果相比，考虑冷却速率效应后的比体积变化曲线存在明显差异。

搜集汇总

背景与挑战

背景概述

该数据集包含半结晶聚合物聚丙烯（PP）的压力-比容-温度（pvT）实验和预测数据，实验条件涵盖不同冷却速率和压力水平，用于优化考虑冷却速率的两域Tait状态方程模型。数据集旨在支持聚合物工程应用，特别是注塑成型过程中的精确预测，模型结果显示冷却速率对pvT行为有显著影响，提高了传统方法的准确性。