A decomposition kinetic model was developed based on thermodynamic theory, first-order reaction law, and PDSC and modified TGA techniques. This kinetic model is able to predict grease degradation life at various temperatures using their activation energy. In addition, the kinetic model was found to have a good correlation with the ASTM D 3527 test method that was simulated using a front wheel bearing system. The advantage of this kinetic model is that it can evaluate the grease thermal-oxidation stability and predict the high temperature grease decomposition life within a short period. It also appears that this kinetic model is potentially useful for grease screening, quality control, and base oil composition effect in thermal-oxidation stability. This paper details how to develop a decomposition kinetic model, its correlation to a bearing test, applications and findings.
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机译：基于热力学理论，一阶反应律，PDSC和改进的TGA技术，建立了分解动力学模型。该动力学模型能够利用其活化能预测油脂在不同温度下的降解寿命。此外，动力学模型与使用前轮轴承系统模拟的ASTM D 3527测试方法具有良好的相关性。该动力学模型的优势在于，它可以评估油脂的热氧化稳定性，并可以在短期内预测高温油脂的分解寿命。还似乎该动力学模型潜在地可用于油脂筛选，质量控制和基础油成分对热氧化稳定性的影响。本文详细介绍了如何建立分解动力学模型，及其与轴承测试的关联，应用和发现。
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