
NSF Org: |
TI Translational Impacts |
Recipient: |
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Initial Amendment Date: | May 19, 2011 |
Latest Amendment Date: | May 19, 2011 |
Award Number: | 1113770 |
Award Instrument: | Standard Grant |
Program Manager: |
Muralidharan Nair
TI Translational Impacts TIP Directorate for Technology, Innovation, and Partnerships |
Start Date: | July 1, 2011 |
End Date: | December 31, 2011 (Estimated) |
Total Intended Award Amount: | $149,127.00 |
Total Awarded Amount to Date: | $149,127.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
4125 Lafayette Center Drive Chantilly VA US 20151-1272 (614)599-8493 |
Sponsor Congressional District: |
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Primary Place of Performance: |
4125 Lafayette Center Drive Chantilly VA US 20151-1272 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | SBIR Phase I |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.084 |
ABSTRACT
This Small Business Innovation Research (SBIR) Phase I project addresses a major need in the glass
manufacturing industry by developing a wireless sensor for 3?]D imaging of glass furnace walls to identify
refractory erosion and molten glass leaks. The furnace walls are comprised of insulation and AZS
(Alumina, Zirconium, Silica) refractories which are highly lossy and very dispersive at high temperatures.
A conventional approach would inevitably be constrained by its system dynamic range, and thus the
most important molten glass?]AZS echo would be virtually invisible regardless of the sophistication of
digital processing on the measured results. This project takes a holistic approach from antenna design to
imaging algorithm to sensor architecture in order to tackle very demanding requirements of the furnace
wall. It aims to accomplish (1) accurate characterization of attenuation and dispersive properties of the
furnace walls (2) optimal antenna design to match with minimum inter?]coupling, (3) high resolution
imaging algorithm that leverages prior knowledge of wall properties, and (4) hardware architecture with
the highest possible dynamic range in such a high temperature environment.
The broader impact/commercial potential of this project is that it offers a 3?]D sensor that will enable a
maintenance program based upon the real condition of the furnace to realize longer life span of high
temperature furnaces and make informed local maintenance without a major interruption in the
production. This translates to significant financial savings for the glass manufacturing industry given the
multi?]million dollar initial capital investment is required to build a furnace, followed by a multi?]million
dollar spending to maintain it. Further, several catastrophic accidents have occurred in the past due to
molten glass leaking from the furnaces. These catastrophic accidents resulted in death of several
employees, significant financial damage and severe production disruption. Therefore, this project will
enable safer manufacturing environment for the glass manufacturing industry since potential areas for
molten glass leakages and structural health of furnace walls will be assessed with the 3?]D imaging
technology being developed under this project. Lastly, this research will also lead to new design
concepts for sensing through dispersive and high loss media in extremely high temperature
environment, thus introducing new approaches for wireless sensing technologies in harsh environments.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
This Small Business Innovation Research (SBIR) Phase I project addresses a major need in the glass manufacturing industry by developing a wireless sensor for three-dimensional (3-D) imaging of glass furnace walls to identify refractory erosion and molten glass leaks. The furnace walls are comprised of insulation and AZS (Alumina, Zirconium, Silica) refractories which are highly lossy and become electrically conductive at high temperatures. Our objective in Phase I was to demonstrate the feasibility of a wireless sensor system for 3-D structural imaging of high temperature molten glass furnace walls.
Our Phase I studies involved experimental work for characterization of furnace walls at high operational temperatures and also measurements and feasibility tests at an operational glass furnace at Libbey Glass facilities. We started the Phase I by developing a high temperature antenna that was used for high temperature characterization of AZS. We also carried out several imaging studies to image defects inside refractories used in glass furnaces. After successfully building our high temperature antenna , we next designed a measurement system to characterize AZS blocks at high temperatures. This was done with a close collaboration with our partner Libbey Glass. Libbey Glass was instrumental in providing necessary materials and assisting with the design of our measurement setup. We also carried out feasibility studies at an operational glass furnace at Libbey Glass facilities. With these measurements, we identified the ideal frequency band for our design and also the electrical loss and dispersive behavior of AZS refractories. Our internal measurements and tests at Libbey facilities conclude that we can see through the furnace walls at their operational furnace temperatures(2300F-2500F). Our in-house experiments demonstrated that we could also image fine features inside the refractory structures at their operational temperatures. These studies established the feasibility of our proposed sensor for structural health monitoring of high temperature furnace walls.
The broader impact/commercial potential of this project is that it offers a 3-D sensor that will enable a maintenance program based upon the real condition of the furnace to realize longer life span of high temperature furnaces and make informed local maintenance without a major interruption in the production. This translates to significant financial savings for the glass and other manufacturing industries including steel and aluminium given the multi-million dollar initial capital investment is required to build a furnace, followed by a multi-million dollar spending to maintain it. Further, several catastrophic accidents have occurred in the past due to molten glass leaking from the furnaces. These catastrophic accidents resulted in death of several employees, significant financial damage and severe production disruption. Therefore, this project will enable safer manufacturing environment for the manufacturing environment since potential areas for molten glass leakages and structural health of furnace walls will be assessed with the 3-D imaging technology whose feasibility is shown with this project. Lastly, this research will also lead to new design concepts for sensing through dispersive and high loss media in extremely high temperature environment, thus introducing new approaches for wireless sensing technologies in harsh environments.
Last Modified: 02/03/2012
Modified by: Yakup Bayram
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