Rapid Scanning Infrared/Near Infrared Spectrometer. Phase 2. SBIR. Final Report.
Rapid Scanning Infrared/Near Infrared Spectrometer.
Phase 2. SBIR. Final Report.
Sivathanu, Y. R.; Joseph, R.; Lim, J.; Zheng, Y.; Gore,
NIST GCR 99-777; 28 p. September 1999.
Sponsor:National Institute of Standards and Technology,
Available from: National Technical Information Service
(NTIS), Technology Administration, U.S. Department of
Commerce, Springfield, VA 22161.
1-800-553-6847 or 703-605-6000;
Order number: PB99-176851
infrared spectrometers; algorithms; fire research; gas
temperature; image intensifiers; laminar flames;
This Phase 2 SBIR project report covers the development
of a 2-D imaging spectrometer for the determination of
the local gas species concentrations and temperatures
from a laminar flame, and its extension for commercial
application as a gas temperature sensor. Three separate
tasks were undertaken during the Phase 2 work. The
first task was the development of an optimized algorithm
and hardware design to obtain gas temperatures from a
high frequency multi-wavelength sensor. The second task
was the development of an imaging spectrometer to obtain
spectral radiation intensities along a horizontal plane
from a laminar diffusion flame. The third task was the
development of a deconvolution algorithm to obtain gas
species concentrations and temperatures from the
spectral radiation intensity measurements. Based on the
Phase 2 research, the following results were obtained.
A robust algorithm for determining the gas temperatures
at the inlet of a natural gas turbine engine, from
measurements of infrared radiation intensities, was
developed, evaluated and licensed for commercial
production. A study of the different methods of
obtaining infrared radiation intensities for a
turbine-inlet gas temperature sensor was completed. A
prototype 2-D infrared imaging spectrometer was
designed, fabricated and delivered to the National
Institute of Standards and Technology. A deconvolution
algorithm to obtain local radiation intensities from
path integrated measurements was developed and
evaluated. The 2-D imaging spectrometer was used to
obtain spectrally and spatially resolved infrared
radiation intensities in a laminar natural gas'diffusion
flame. The deconvolution algorithm was used to obtain
the local intensities in the laminar natural gas
diffusion flame. Reasonable estimates of temperatures
were obtained from the local intensities. The estimates
of gas concentrations were less satisfactory. The major
reason for this behavior is the lack of reliable
wavelength calibration. Steps to remedy this are in
progress. A new company called Spectraline Inc. has
been started to market the 2-D imaging spectormeter
developed during the Phase 2 research.