SBIR/STTR Research Award

LARGE FIELD OF VIEW REAL-TIME X-RAY IMAGING SYSTEM

Award identifier 1b6584781700d342733ec5e4c3b742ea9bad9978e36bafd0bcf0a7733c07df9dAwarding agency Department of Defense · Air Force

Award amount

$49,600

Program and phase

SBIR · Phase I

Award year

1987

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Synergistic Detector Designs
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

REAL-TIME DIGITAL X-RAY IMAGING SYSTEMS ARE CURRENTLY BEING USED TO INSPECT ROCKET MOTORS SUCH AS THE C4, HAWK, STANDARD MISSILE, AND SIDEWINDER AS WELL AS NUMEROUS AERO-TURBINE PARTS. IN MOST CASES THE SIZE OF THE FIELD OF VIEW (FOV) IS LIMITED BY THE DIGITAL PROCESSOR REQUIREMENT TO BREAK THE IMAGE INTO 512 X 512 PIXELS. RECENTLY PROCESSORS HAVE BECOME AVAILABLE THAT PROVIDE DIGITAL IMAGES WITH 1024 X 1024 PIXELS, WHICH WOULD ALLOW A FIELD OF VIEW INCREASE OF UP TO A FACTOR OF FOUR, THUS SIGNIFICANTLY REDUCING THE INSPECTION TIME. HOWEVER, THERE ARE A NUMBER OF PARAMETERS ASSOCIATEDWITH THE INSPECTION OF ROCKET MOTORS, SUCH AS THE PULSED X-RAY SOURCE, REDUCTION OF LENS TRANFER EFFICIENCY WITH INCREASED FOV, OPERATION OF THE VIDEO CAMERA AT THE SLOWER SCAN RATES WHILE EXPOSED TO THE PULSED X-RAY SOURCE, ETC., THAT MIGHT PROHIBIT A SYSTEM BASED UPON THE AVAILABLE 1024 X 1024 DIGITAL PROCESSORS AND CAMERAS FROM ACHIEVING REQUIRED RADIOGRAPHIC SENSITIVITY. THE OBJECTIVE OF THIS PROGRAM IS TO OPTIMIZE AND DEMONSTRATE A 1024 X 1024 DIGITAL X-RAY INSPECTION SYSTEM WITH A 15 IN.X15 IN. FOV SPECIFICALLY FOR INSPECTION OF A 14 IN. DIAMETER ROCKET MOTOR SUCH AS THE HAWK OR STANDARD MISSILE.

Technology keywords

Not reported

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.