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基于材料特性确定拖拉机发动机机油更换间隔

Determination of Tractor Engine Oil Change Interval Based on Material Properties.

作者信息

Hönig Vladimír, Procházka Petr, Obergruber Michal, Kučerová Viera, Mejstřík Pavel, Macků Jan, Bouček Jiří

机构信息

Department of Chemistry, Food and Natural Resources, Faculty of Agrobiology, Czech University of Life Sciences Prague, Kamýcká 129, 169 21 Prague 6, Czech Republic.

Department of Strategy, Faculty of Business Administration, University of Economics Prague, W. Churchill Sq. 1938/4, 130 67 Prague 3, Czech Republic.

出版信息

Materials (Basel). 2020 Nov 27;13(23):5403. doi: 10.3390/ma13235403.

DOI:10.3390/ma13235403
PMID:33261102
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7731042/
Abstract

This article focuses on the issue of motor oils used in the engines of non-road mobile machinery (NRMM), more specifically tractors. The primary goal of the paper is to determine the appropriate replacement interval for these oils. The physical properties of the examined samples were first determined by conventional instruments. Furthermore, the concentrations of abrasive metals, contaminants, and additive elements were measured using an optical emission spectrometer. Lastly, the content of water, fuel, and glycol and the products of oxidation, nitration, and sulfation were determined by using infrared spectrometry. The measured values were compared to the limit values. Based on the processing and evaluation of these analyses, the overall condition of the oils was assessed and subsequently the optimal exchange interval of the examined oils was determined. In addition, a risk analysis of the outage was performed. Due to the high yields of crops, farmers can lose a significant amount of product when a tractor is not functioning during the harvest period. This loss is calculated in the paper.

摘要

本文聚焦于非道路移动机械（NRMM）发动机，更具体地说是拖拉机所使用的机油问题。本文的主要目标是确定这些机油的合适更换间隔。首先通过常规仪器测定所检测样品的物理性质。此外，使用光发射光谱仪测量磨蚀性金属、污染物和添加剂元素的浓度。最后，采用红外光谱法测定水、燃料、乙二醇以及氧化、硝化和硫化产物的含量。将测量值与极限值进行比较。基于这些分析的处理和评估，评估了机油的整体状况，随后确定了所检测机油的最佳更换间隔。此外，还进行了停机风险分析。由于农作物产量高，当拖拉机在收获期无法运行时，农民可能会损失大量产品。本文对这一损失进行了计算。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d38d/7731042/0c3e1b699aa5/materials-13-05403-g012.jpg
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