Crusher models presented in research is calibrated using experimental data. This approach is everyday praxis and is made in many different ways. One method is to use two different compression tests. The single-particle breakage test (SPB) and the inter-particle breakage test (IPB). Models for predicting the breakage energy and size distribution for the SPB test and also to show the correlation between the SPB and IPB test is presented. The results show that Weibull analysis and Rosin-Rammer distributions are a successful way to model both energy and size distribution for SPB and IPB based compression crushing. The number of experiments conducted in both SPB and IPB tests can be drastically reduced by testing the lowest and highest compression ratio values used in the original SPB and IPB tests. The results also show a strong correlation between the SPB and IPB tests when evaluating the relationship between the consumed breakage energy and the coefficient of variance. The energy model is compared with Bond Work Index (BWI), and it was shown that the model parameter C shows a good correlation with BWI. A full-scale validation of a cone crusher is made, presenting a calculation scheme for addressing the use of the IPB and SPB models for predicting the size distribution.

研究中提出的破碎机模型使用实验数据进行校准。这种方法是日常实践，并以许多不同的方式进行。一种方法是使用两种不同的压缩测试。单颗粒破碎试验（SPB）和颗粒间破碎试验（IPB）。提供了用于预测 SPB 测试的断裂能量和尺寸分布以及显示 SPB 和 IPB 测试之间相关性的模型。结果表明，威布尔分析和 Rosin-Rammer 分布是对基于 SPB 和 IPB 的压缩破碎的能量和粒度分布进行建模的成功方法。通过测试原始 SPB 和 IPB 测试中使用的最低和最高压缩比值，可以大大减少在 SPB 和 IPB 测试中进行的实验数量。结果还表明，在评估消耗的破损能量与方差系数之间的关系时，SPB 和 IPB 测试之间存在很强的相关性。将能量模型与债券功指数（BWI）进行比较，表明模型参数C与BWI具有良好的相关性。对圆锥破碎机进行了全面验证，提出了一种计算方案，用于解决使用 IPB 和 SPB 模型预测粒度分布的问题。