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绿色能源生产中润滑剂质量控制的联合核磁共振方法

Combined nuclear magnetic resonance methods in quality control of lubricants in green energy production.

作者信息

Rudszuck Thomas, Nirschl Hermann, Guthausen Gisela

机构信息

Institute for Mechanical Engineering and Mechanics, KIT, 76131, Karlsruhe, Germany.

Engler-Bunte Institut, Water Chemistry and Technology, KIT, 76131, Karlsruhe, Germany.

出版信息

Magn Reson Chem. 2024 Apr;62(4):212-221. doi: 10.1002/mrc.5339. Epub 2023 Mar 10.

Abstract

NMR methods were applied for lubricant analysis. Different factors influence the real aging of lubricants on diverse length scales and are captured by NMR. Chemical conversion of additives is addressed by NMR spectroscopy. High-field NMR experiments allow the identification and quantification of chemical components and are transferred to benchtop devices. Molecular dynamics and contaminations like fuel or abrasion are addressed via NMR relaxation and diffusion. Quality parameters were extracted via suitable data analysis of NMR raw data, which allow the detection of aging and indicate changes in the oil composition. At the same time, the methodology is optimized to the conditions in quality control. The feasibility is shown the example of a series of lubricants from applications in regenerative energy production, namely, wind turbine oils and biogas motor oils.

摘要

核磁共振方法被应用于润滑剂分析。不同因素在不同长度尺度上影响润滑剂的实际老化情况,而核磁共振能够捕捉这些因素。添加剂的化学转化通过核磁共振光谱法进行研究。高场核磁共振实验可实现化学成分的识别和定量分析,并且已被应用于台式设备。通过核磁共振弛豫和扩散研究分子动力学以及燃料或磨损等污染物。通过对核磁共振原始数据进行适当的数据分析提取质量参数,这些参数能够检测老化情况并指示油成分的变化。同时,该方法针对质量控制条件进行了优化。以一系列应用于可再生能源生产的润滑剂为例,即风力涡轮机油和沼气发动机油,展示了该方法的可行性。

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