Validation of test methods for filters on gas engine applications
Mähönen, Jaakko (2018)
Mähönen, Jaakko
2018
Automaatiotekniikka
Teknisten tieteiden tiedekunta - Faculty of Engineering Sciences
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Hyväksymispäivämäärä
2018-08-15
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201808142146
https://urn.fi/URN:NBN:fi:tty-201808142146
Tiivistelmä
To be able to choose the right filter for specific application, filters need to be validated. Validation of filters will give essential information about the filter’s capability, e.g. filtration efficiency, pressure loss and dirt holding capacity. Validation is done according to a standard, which describes in detail level the testing method and the test rig. There are many different standards for air filters, however, no standards designed for filters on natural gas applications. Therefore, air filter standards and the test rigs described in them must be used to validate filters on natural gas applications.
To understand the effects of different gas types and their properties better, understanding the theory of gas filtration is essential. According to many studies, there are several different filtration mechanisms in gas filtration. Each of these mechanisms can be simulated with mathematical calculations. Combining these calculations into a single simulation model will offer a theoretical way to investigate filters’ capability. The simulation model will simulate the filtration efficiency and the pressure loss of the selected filter media. The model can be also used to compare the filtration results when using different types of gases.
Also the simulation model needs to be validated to get knowledge about the accuracy of the model. The validation of the model was done by comparing the simulation results with actual test results received from a test rig in Parker Hannifin’s laboratory. The validation reveals that the simulation model works more accurately with some of the filter medias. With coarse filter medias the simulation results are reasonably accurate, but with finer medias the simulation results will suffer slightly.
The simulation model can be used to test different kinds of filter medias. Filter medias can be simulated in different environmental conditions (temperature, pressure), with different flow velocity and with different kind of dirt particles. The simulation model also offers information about the effectiveness of the different filtration mechanisms, and it can be used as a guide when designing new filters and when developing filter medias.
To understand the effects of different gas types and their properties better, understanding the theory of gas filtration is essential. According to many studies, there are several different filtration mechanisms in gas filtration. Each of these mechanisms can be simulated with mathematical calculations. Combining these calculations into a single simulation model will offer a theoretical way to investigate filters’ capability. The simulation model will simulate the filtration efficiency and the pressure loss of the selected filter media. The model can be also used to compare the filtration results when using different types of gases.
Also the simulation model needs to be validated to get knowledge about the accuracy of the model. The validation of the model was done by comparing the simulation results with actual test results received from a test rig in Parker Hannifin’s laboratory. The validation reveals that the simulation model works more accurately with some of the filter medias. With coarse filter medias the simulation results are reasonably accurate, but with finer medias the simulation results will suffer slightly.
The simulation model can be used to test different kinds of filter medias. Filter medias can be simulated in different environmental conditions (temperature, pressure), with different flow velocity and with different kind of dirt particles. The simulation model also offers information about the effectiveness of the different filtration mechanisms, and it can be used as a guide when designing new filters and when developing filter medias.