Dielectric Measuring Tool for Radome Checkout
Transcript of Dielectric Measuring Tool for Radome Checkout
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Information disclosed in this document was developed under the U.S. Government Small Business Innovation Research (SBIR)program. The information contained in this document is considered proprietary in nature by the author(s) and any disclosure is subject
to the restrictions under Public Laws and supporting regulations governing this program. Use or disclosure outside of the U.S.
Government of any information contained within this document without the expressed written consent of the author(s) is hereby
prohibited. Further, release or disclosure of any information within the U.S. Government is restricted to that necessary to support the
expressed purposes of the SBIR program. This restriction is to be retained with any and all parts of this document that are so
distributed.
Dielectric Measuring Tool forRadome Checkout:
Prototype DevelopmentTexas Research Institute POC:
Russell Austin
(512) 263-2101
amntlPOC:
Reza Zoughi, Ph.D.
(573) 341-4656
OC-ALC COTR/TPOC:
Todd Bayles
(405) 662-7384
OC-ALC FFR Manager
Jess Phillips
(405) 734-0229
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Background Repaired Radomes Inspected with Moisture Meter
& Tap Testing
Inspection Requires 4 Passes over the Radome
Moisture Meter & Tap Testing
Interior & Exterior Skins Tap Testing:
May Not Accurately Determine Boundaries of Debond
Operator Dependant Potential for Larger Repair Than Required
Moisture Meter Not Always Accurate
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Relationship Between FFR & Repair Repaired Radomes sent to Far Field Range (FFR)
to Test Radar Performance Approximately 40% of Repaired Radomes Fail
FFR
However: FFR Radar Performance Results cannot accurately
determine location, extent or type of imperfectioncausing a performance failure
Radar Performance Problems not Always Related to a
Discrete Physical Flaw
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Return to Repair Facility Radome is Returned to Repair Facility after FFR
Failure Current inspection methods available to repair
personnel:
provide no quantitative measurements cannot estimate if a radome will pass FFR tests
only detect discrete flaws, not radar problems
Repair Personnel Have no Guidance on How toAlter the Radome so it will Pass FFR
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
TRI/amntl Solution Show feasibility of millimeter wave reflectometry
to solve radome problems detect presence of various flaws of interest
detects flaws regardless of depth
locates flaw edges fast, simple
detects transmission problems even if no discreteflaw exists
more complex quantitative measurements canmeasure phase and amplitude of reflections
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Samples with Known Flaws Manufactured by Applied Aerospace
Structures Corp (AASC) Air Force radome manufacturer
Fiberglass skins (6 layers top, 4 layers bottom)
Honeycomb core (0.75 thick phenolic with 0.25diameter cells)
Debonds & Delaminations Crushed Core
Core Thickness Variations
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Sample Design Flaws:
Debonds at BothSkin/Core interfaces
Delams in Both Skins
Crushed Core & Core
Thickness Variations Water Ingress
Thickness: 8 to 20
mils Cross Section: 0.25
to 1
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Sample Construction
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Basis of Method Finite Energy
All incident energy willhave some reflectionand some transmission
Change intransmission causes achange in reflection
Quantifying reflected signals phase andmagnitude allows quantification of transmissionproblems
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Microwave Image 24 Flaws Obvious
4 Flaws NotObvious
3 in middle of lowerskin (12 mils thick)
1 is 0.008 thickcrushed core nearlower skin
Appears to showadditional features
Excess adhesive?
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Higher Resolution Image All Flaws Detected
More ComplexEquipment thanPrevious Image
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Water Ingress 0.1 cc water injected
into a single cell of thehoneycomb
First 6 images made
over 2 days Final image made after
emptying cell of water
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Hand Scans Video
Technique is simple and real time Accurately detects radar performance anomalies
& locates flaw edges (independent of flaw depth)
Output is Simple DC Voltage could power needle gauge or light LEDs (green, yellow, red)
proper analysis can provide quantitative phase and
magnitude data COTS camcorder battery runs it for a week
Cost Comparable to Other Flaw Detectors
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Correlate Test Data to Flaws Edges of all flaws located accurately regardless of
flaw type or depth
no need for complex signal analysis nor operatorinterpretation of data
No ambiguity in locations of flaws
Simple Equipment:
All flaws except 8 mil core crush at far face anddebonds embedded in middle of far face detected
Complex Equipment:
All flaws detected
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Small B-52 Radome Sample
Two Previous Repairs
Build Up of Radome Coatings
Radar Performance Unknown
Note Center of Circular Repair and Large Repair
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Small Sample Results No NDI Indication:
Various Coatings Large Repair
Smaller Circular
Repair
Large Indication
Joint of LargeRepair andCircular Repair
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Large B-52 Radome Sample
Three Previous Repairs (two through wall, one exterioronly)
Passed Radar Performance Testing
No NDI Indications (Even where Repairs Overlap)
Video of B-52 Radome Inspections Available
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Highlights So far, no False Positives
Not radome specific - can be applied to radomes at allthree ALCs
Detect Radar Anomalies, even if not caused by a discreteflaw
Accurately determine size of radar anomaly regardless ofdepth
Requires little operator training/data interpretation
Quantitative phase and amplitude data can be used topredict FFR performance
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Cost/Cycle Time Reduction Depots currently go over each radome four times.
This technology will require one time inspection labor reduced 75%
B-52 Nose Radome Cycle Time
44 days 6 days for inspection
Millimeter Wave Inspection Reduce Cycle Time by 4.5Days
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Major Savings Current FFR failure rate for repaired radomes is
~40% Each Rebuild Costs $20k
OC-ALC Rebuilds about Three Dozen B-52 Nose
Radomes per Year B-52 Repair Facility Savings: $288k per year
FFR Savings: testing fewer radomes that will fail
Savings for More Numerous Aircraft (130, 135etc) Scales
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Current Status Field Prototype Development Started
Develop handheld sensor for detecting and sizingflaws:
crushed core, delams, fluid ingress, thicknessvariations
radar anomalies
Implement Two Reflectometers Built AroundSensor
Handheld go/no go
Quantitative measurement of phase and amplitude
data can be used to predict FFR performance
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Go/No Go Prototype Handheld Probe:
battery powered rugged enclosure
audible/visual alarm (e.g. buzzer, LED, needle deflection)
adjustable amplifier adjustable alarm trigger
Calibration:
known good section look at several places on radome and assume smallest
signal is good
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Quantitative Version Essentially Similar Hardware as Go/No Go
Electronics in Handheld Unit AutomaticallyDisplays Quantitative Phase and AmplitudeMeasurements
Quantitative Data Used by FFR Personnel toDetermine Location and Severity of RadarAnomalies
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Most Important Result Determining if a
Radar Window WillPass FFR TestingWithout Expenseand Effort of FFRTesting
Allowing FieldPersonnel to QualifyRadome Repairs
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)
program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Both Prototypes Tested on Existing Samples from Phase I
Field tests at OC-ALC, WR-ALC andcommercial facilities
B-1
B-52
E-3
Provide Automated Prototypes with UserManual
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Information disclosed on this page was developed under the U.S. Government Sma ll Business Innova tion Research (SBIR)
program. The informa tion conta ined on this page is considered proprietary in nature by the author(s) and any disclosure is
subject to the restrictions as stated in the cover sheet of this document.
Contact InformationRussell Austin
Texas Research Institute
415 Crystal Creek Dr.Austin, TX 78746
(512) 263 - 2101
Reza Zoughi, Ph.D.Applied Microwave NDT Lab
University of Missouri Rolla
224 Emerson Electric Co. Hall
Rolla, MO 65409
(573) 341-4656
Jess Phillips76 CMXG/MXCPATinker AFBVoice: 405-734-0229