In this quarter, we have finished construction of the first field deployable multi-wavelength PM measurement system. This system is retrofit from the system that we designed and tested in the lab, and by adding light blocking covers and rugged electronic boxes, we are now testing the instrument in our industrial collaborator's site with a turbine power generator. We are collecting data on PM emissions from the engine under different load conditions and fuel/air mixing ratios.

In the fourth quarter of the project, we fixed the interference problem of linear CCD array when collecting elastic scattering signal from laser sources. We collected scattering signal of standard samples and also on a wax formation liquid. The results are compared to theoretical results and demonstrate the clear advantages of such technique vs. traditional scattering instrument with enclosures or just transmission type of spectrometers.

In this final quarter, we have continued to collect more field data. Here, in this report representative data collected in the field with turbine engine are presented. We also made substantial progress in calibration of standard particles using MOUDI. During the 12th quarter of this project, we collected a myriad of field data at our industrial partner's test site. These data verified the system performances. (1) The system could detect light scattering signal for all 9 wavelength lasers under different load conditions--We verified that the ELIS1024 chip could reliably collect light scattering signal from the 9 wavelength lasers, even the weakest wavelength at 355nm, thanks to our effort in improving the signal to noise ratio of the detector. (2) The data collected for each wavelength channel under the same load is consistent and repeatable--Although different wavelength channel has drastically different signal to noise ratio, after certain averages, we are able to repeat the scattering signal under the same engine conditions. (3) The data collected for each channel under different load conditions are qualitatively consistent with prediction--The data collected for each channel under different load conditions change according to the predictions. We are conducting simulation models to simulate the data and …