Functional fiber-optic sensors embedded in stainless steel components using ultrasonic additive manufacturing for distributed temperature and strain measurements

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Abstract

The nuclear industry is progressing toward microreactors that can be factory assembled and deployed to remote regions for reliable, scalable power generation. However, the reduced power output requires enhanced monitoring capabilities to reduce staffing and eventually move toward autonomous control to improve the economics of microreactors. The ability to embed sensors such as fiber-optics, which can provide spatially distributed temperature and strain measurements, within microreactor components for real-time health monitoring would be particularly advantageous. Recent advances in ultrasonic additive manufacturing (UAM) have demonstrated the successful embedding of fiber-optics in soft materials such as Al and Cu by placing the sensors in machined cavities and ultrasonically welding over the top with thin foils. This work reports the first successful embedment of fiber-optic sensors and thermocouples within a common nuclear reactor material, SS304, via UAM. UAM parameters were first explored with simple plate geometries before moving to more complex geometries, such as pipes and other test articles for heat pipe–based microreactors. Select samples were sectioned for microscopy to evaluate the sensor/foil and foil/foil interfaces from samples fabricated by using 100% SS304 foils vs. foils plated with a Ni coating to improve UAM bonding. Furthermore, embedding metal-coated, low-bend loss fibers resulted in greatly reduced signal attenuation and adequate compressive residual strain in the embedded region to ensure successful strain coupling. Pipe specimen functional testing was performed by monitoring temperature and strain during transient and steady-state thermal testing.

Original languageEnglish
Article number102681
JournalAdditive Manufacturing
Volume52
DOIs
StatePublished - Apr 2022

Funding

Fabrication of the components with embedded sensors was performed at Fabrisonic LLC, supported by Dr. Adam Hehr, Mr. Mark Norfolk, and Mr. Dan King. Fabrication and testing of embedded fiber-optic sensors were originally sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL), managed by UT-Battelle LLC for the US Department of Energy (DOE). Follow-on funding was provided by the Transformational Challenge Reactor Program under DOE's Office of Nuclear Energy to complete the testing and characterization. Dr. Caleb Massey (ORNL) provided assistance and guidance. Metallographic sample preparation was performed by Victoria Cox (ORNL) and Caitlin Duggan (ORNL). Alex Rogers (ORNL) assisted with the CAD modeling. Notice: This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05–00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Fabrication of the components with embedded sensors was performed at Fabrisonic LLC, supported by Dr. Adam Hehr, Mr. Mark Norfolk, and Mr. Dan King. Fabrication and testing of embedded fiber-optic sensors were originally sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL), managed by UT-Battelle LLC for the US Department of Energy (DOE). Follow-on funding was provided by the Transformational Challenge Reactor Program under DOE’s Office of Nuclear Energy to complete the testing and characterization. Dr. Caleb Massey (ORNL) provided assistance and guidance. Metallographic sample preparation was performed by Victoria Cox (ORNL) and Caitlin Duggan (ORNL). Alex Rogers (ORNL) assisted with the CAD modeling.

Keywords

  • Additive manufacturing
  • EBSD
  • OFDR
  • SS304
  • Strain monitoring

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