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Field Experience with the Provent CCV System

机译:普通的CCV系统现场经验

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Laboratory-based filter testing often produces quite disparate results from "real world" filter testing. For this reason, it is important to conduct extensive field performance testing of filter systems. In addition to an extensive laboratory-based crankcase filter research and development program, a field test of the Provent Closed Crankcase Ventilation (CCV) filter system was conducted in the harsh dusty environment of Australia. In many regions, Australia experiences high mean temperatures, low average rainfall, and has a high proportion of unsealed roads. These factors make Australia highly suitable for filter performance testing. A sample of 50 on/off highway vehicles were selected, with 3 different direct injection turbo-diesel engines ranging from 2.5 to 4.0 liters in engine capacity. Individual vehicle use ranged from 100% offroad (or non-sealed road) to 100% on-highway. A standard Provent housing and element was fitted to each vehicle - in some cases replacing the standard cyclone. The mass of each filter was recorded initially, and the filter element fitted to the vehicle for intervals ranging between 5000 and 40000 km. The filters were then returned for laboratory testing, weighed to determine oil content, and installed in a laboratory test apparatus to test performance. It was found that the large number of variables made it difficult to develop a simple relationship between pressure drop and operational parameters. Nevertheless, with the assistance of a Generalised Linear Regression model, a good relationship was found.
机译:基于实验室的过滤器测试通常会产生“现实世界”过滤器测试的相当不同的结果。因此,重要的是对滤波器系统进行广泛的现场性能测试。除了广泛的实验室的曲轴箱过滤研发计划外,在澳大利亚的苛刻尘埃环境下进行了普通的闭合曲轴通风(CCV)过滤系统的现场测试。在许多地区,澳大利亚经历了高平均温度,平均降雨量低,并且具有高比例的未密封道路。这些因素使澳大利亚非常适合过滤性能测试。选择了50辆开/关高速公路的样品,3种不同的直接喷射涡轮柴油机,在发动机容量中的2.5至4.0升。单个车辆使用范围从100%offroad(或非密封道路)到100%的高速公路。每辆车都安装了标准的普通住房和元素 - 在一些情况下取代标准旋风。最初记录每个过滤器的质量,并将过滤元件安装在车辆上,间隔在5000到40000km之间。然后返回过滤器进行实验室测试,称重以确定油含量,并安装在实验室测试设备中以测试性能。结果发现,大量变量使得难以在压降和操作参数之间发展简单的关系。然而,在广义线性回归模型的帮助下,发现了良好的关系。

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