Diffusion Charging-Based Aerosol Instrumentation: Design, Response Characterisation and Performance
Research output: Book/Report › Doctoral thesis › Collection of Articles
|Publisher||Tampere University of Technology|
|Number of pages||56|
|Publication status||Published - 23 Feb 2018|
|Publication type||G5 Doctoral dissertation (article)|
|Name||Tampere University of Technology. Publication|
This thesis focusses on the development of diffusion charging–based aerosol instrumentation towards more compact and sensor-type instruments. The work was started by developing an add-on module for the electrical low-pressure impactor. This extended the instrument measurement capabilities by enabling the measurement of the effective density of particles in real-time. Focussing more on the sensor-type instrumentation, three different sensors were presented for measuring particle emission directly from the exhaust line: Two of them targeting the engine laboratory work or for the portable emission measurement and one designed for on-board diagnostics. The instrument developed for the on-board emission measurement provided a very good temporal performance owing to the miniaturisation of the instrument design. Lastly, a new sensor design approach was presented in which the flow rate dependence of the instruments response is minimised. This, together with the minimised pressure drop in the design, helps in lowering the instrument cost by promoting the use of a low-cost fan for generating the sample flow.
Instrument response characterisation and response modelling made a central part of the study. Results from the characterisation measurements were presented for all instruments, and comprehensive response models were built for the sensor-type instruments. Depending on the instrument, both simplified approximations and theoretical responses of the instrument components were used as the starting point for the response models. Additionally, the instrument performance was demonstrated in practical measurements related to the application of each instrument. The obtained response models provide necessary information for the instrument performance evaluation and the measurement data processing.