Open AccessDevelopment of On-line Instrumentation and Techniques to Detect and Measure Particulates
Author(s) -
Shanshan Wu,
Steve Palm,
Yue Tang,
III Goddard
Publication year - 2005
Language(s) - English
Resource type - Reports
DOI - 10.2172/859942
Subject(s) - wavelength , signal (programming language) , detector , channel (broadcasting) , calibration , noise (video) , instrumentation (computer programming) , optics , laser , scattering , light scattering , field (mathematics) , physics , environmental science , computer science , telecommunications , mathematics , quantum mechanics , artificial intelligence , image (mathematics) , programming language , operating system , pure mathematics
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 use the model to predict the PM emission pattern