In Situ Oil Analysis in Real Time

实时原位石油分析

• 批准号: ST/K003933/1
• 负责人: John Lees
• 金额: $ 11.26万
• 依托单位: University of Leicester
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FK003933%2F1
• 关键词: Situ; Oil; Analysis; Real; Time

The owners and operators of high value oil lubricated machinery such as aircraft, ships and heavy plant equipment put much effort and money into ensuring the health of their machines through condition monitoring of their lubricants and moving parts. Failure of critical systems through tribological wear can result in death (e.g. as a result of aircraft systems failures) and/or financial loss (e.g. as a result of failure or degradation of mining/excavation equipment). Non-optimum operation can also cause reduced machinery lifetime and premature component failure, environmental damage and reduced efficiency. Ensuring efficient operation would increase mechanical efficiency thereby reducing fuel use and pollution.Traditionally, samples of oil from the equipment are regularly sent to laboratories for analysis (e.g. by X-ray fluorescence spectroscopy) to see if the lubricant is degrading or if there are signs of tribological wear (as evidenced by metallic particles in the oil). However, this leaves a period between sampling where the conditions of the machinery and its lubricant are unknown. For some critical applications, such as helicopter gear boxes, basic monitoring is carried out continuously by instrumentation aboard the vehicle, but the instrumentation is far less advanced than that available in a dedicated laboratory, and regular offline sampling is still required.Our business idea is to develop compound semiconductor sensors to enable continuous, state of the art laboratory-quality X-ray fluorescence monitoring of lubricant and machinery condition in situ, in real time, to provide constant high-quality data on the health of important oil lubricated equipment.

飞机、船舶和重型工厂设备等高价值机油润滑机械的所有者和操作员投入了大量精力和资金，通过对其润滑剂和移动部件进行状态监测来确保其机器的健康。关键系统因摩擦学磨损而发生故障可能导致死亡(例如，飞机系统故障)和/或经济损失(例如，采矿/挖掘设备的故障或退化)。非最佳操作还可能导致机器寿命缩短、部件过早损坏、环境破坏和效率降低。确保高效运行将提高机械效率，从而减少燃料消耗和污染。传统上，设备的油样定期送到实验室进行分析(例如通过X射线荧光光谱分析)，以查看润滑剂是否正在降解或是否有摩擦学磨损的迹象(如机油中的金属颗粒所证明的)。然而，这在采样之间留下了一段时间，在这段时间内，机器及其润滑剂的状况是未知的。对于一些关键应用，如直升机齿轮箱，基本监测是通过车辆上的仪器连续进行的，但仪器远不如专用实验室中的仪器先进，仍然需要定期离线采样。我们的业务理念是开发化合物半导体传感器，以实现对润滑油和机械状况的连续、最先进的实验室级实时X射线荧光监测，以提供有关重要机油润滑设备健康状况的持续高质量数据。