Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jan 2, 2026

Production of a Strain-Measuring Device with an Improved 3D Printer
06:17

Production of a Strain-Measuring Device with an Improved 3D Printer

Published on: January 30, 2020

6.4K

Integrating Fiber Optic Strain Sensors into Metal Using Ultrasonic Additive Manufacturing.

Adam Hehr1, Mark Norfolk1, Justin Wenning1

  • 1Fabrisonic LLC, Columbus, Ohio 43221, USA.

JOM (Warrendale, Pa. : 1989)
|December 14, 2019
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Bayesian symbolic regression via posterior sampling.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same author

Restraint Induces Sickness Responses Independent of Injection with Epstein-Barr Virus (EBV)-Encoded dUTPase.

Journal of behavioral and brain science·2026
Same author

Sleep fragmentation intensifies sleep architecture disruption and fatigue after traumatic brain injury.

Experimental neurology·2025
Same author

Comprehensive mapping of cognitive and emotion networks in stress, anxiety, and depression implicates the precuneus as a critical hub.

Research square·2025
Same author

Sleep fragmentation after traumatic brain injury impairs behavior and conveys long-lasting impacts on neuroinflammation.

Brain, behavior, & immunity - health·2024
Same author

Brain dynamics reflecting an intra-network brain state is associated with increased posttraumatic stress symptoms in the early aftermath of trauma.

Research square·2024
Same journal

Polydopamine-based Surface Modifications for Tissue Engineering and Biosensing: From Understanding Chemistry to Diverse Applications.

JOM (Warrendale, Pa. : 1989)·2026
Same journal

Multi-Scale Mechanical Characterization of Additively Manufactured GRCop-42 and GRCop-84 Alloys.

JOM (Warrendale, Pa. : 1989)·2025
Same journal

Nanoindentation Crack Suppression and Hardness Increase in SrTiO<sub>3</sub> by Dislocation Engineering.

JOM (Warrendale, Pa. : 1989)·2025
Same journal

Effects of Si Solution on Stability of Early 3d Transition-Metal Tri-Aluminides, Al<sub>3</sub>T (T = Sc, Ti and V).

JOM (Warrendale, Pa. : 1989)·2025
Same journal

Additive Manufacturing of 17-4 PH Stainless Steel: Post Processing Heat Treatment to Achieve Uniform Reproducible Microstructure.

JOM (Warrendale, Pa. : 1989)·2024
Same journal

Increased AGE Cross-Linking Reduces the Mechanical Properties of Osteons.

JOM (Warrendale, Pa. : 1989)·2024
See all related articles

Ultrasonic Additive Manufacturing enables embedding fiber optic sensors in metal parts. This research validates sensor integration for real-time load monitoring in digital twin applications.

Area of Science:

  • Additive Manufacturing
  • Materials Science
  • Sensor Technology

Background:

  • Ultrasonic Additive Manufacturing (UAM) is a 3D printing process utilizing ultrasonic energy for low-temperature metallurgical bonding of metal foils.
  • The low processing temperature of UAM allows for the integration of temperature-sensitive components, like fiber optic strain sensors, directly within metal structures.
  • This capability is crucial for developing advanced Digital Twin applications requiring live load data feedback.

Purpose of the Study:

  • To evaluate the consolidation quality and interface robustness of embedded fiber optic strain sensors in Aluminum Alloy (AA) 6061 components manufactured via UAM.
  • To determine the load-sensing capabilities and limits of these integrated sensors.
  • To explore the potential of UAM for creating smart metal structures with embedded sensing for Digital Twin applications.

More Related Videos

Hybrid Printing for the Fabrication of Smart Sensors
08:35

Hybrid Printing for the Fabrication of Smart Sensors

Published on: January 31, 2019

8.5K
Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
09:38

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Published on: November 7, 2016

9.1K

Related Experiment Videos

Last Updated: Jan 2, 2026

Production of a Strain-Measuring Device with an Improved 3D Printer
06:17

Production of a Strain-Measuring Device with an Improved 3D Printer

Published on: January 30, 2020

6.4K
Hybrid Printing for the Fabrication of Smart Sensors
08:35

Hybrid Printing for the Fabrication of Smart Sensors

Published on: January 31, 2019

8.5K
Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
09:38

Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets

Published on: November 7, 2016

9.1K

Main Methods:

  • Commercially available fiber optic strain sensors were embedded into AA 6061 during the UAM process.
  • Mechanical testing was performed to assess the quality of the bond between the sensor and the surrounding metal matrix.
  • Load tests were conducted to evaluate the strain sensing accuracy and failure limits of the embedded sensors.

Main Results:

  • The study demonstrated successful integration of fiber optic strain sensors within AA 6061 structures using UAM.
  • Analysis confirmed robust metallurgical bonding at the sensor-metal interface, indicating good consolidation quality.
  • The embedded sensors provided reliable strain measurements up to specific load limits, showing potential for structural health monitoring.

Conclusions:

  • Ultrasonic Additive Manufacturing is a viable technique for embedding fiber optic strain sensors into metal components.
  • The integration of sensors enables the creation of metal parts capable of real-time load data acquisition, crucial for Digital Twin development.
  • This technology opens new avenues for smart manufacturing and advanced structural monitoring applications.