Filter Results
Related Organization
- Biological and Environmental Systems Science Directorate (23)
- Computing and Computational Sciences Directorate (35)
- Energy Science and Technology Directorate (217)
- Fusion and Fission Energy and Science Directorate (21)
- Information Technology Services Directorate (2)
- Isotope Science and Enrichment Directorate (6)
- National Security Sciences Directorate (17)
- Neutron Sciences Directorate (11)
- Physical Sciences Directorate
(128)
- User Facilities (27)
Researcher
- Brian Post
- Chris Tyler
- Justin West
- Peter Wang
- Ritin Mathews
- Amit K Naskar
- Andrzej Nycz
- Blane Fillingim
- Chris Masuo
- Peeyush Nandwana
- Srikanth Yoginath
- Sudarsanam Babu
- Thomas Feldhausen
- Adam Stevens
- Ahmed Hassen
- David Olvera Trejo
- J.R. R Matheson
- James J Nutaro
- Jaswinder Sharma
- Jaydeep Karandikar
- Joshua Vaughan
- Lauren Heinrich
- Logan Kearney
- Michael Kirka
- Michael Toomey
- Nihal Kanbargi
- Pratishtha Shukla
- Rangasayee Kannan
- Ryan Dehoff
- Scott Smith
- Sudip Seal
- William Carter
- Yousub Lee
- Akash Jag Prasad
- Alex Roschli
- Ali Passian
- Amir K Ziabari
- Amit Shyam
- Amy Elliott
- Arit Das
- Benjamin L Doughty
- Beth L Armstrong
- Brian Gibson
- Calen Kimmell
- Cameron Adkins
- Christopher Bowland
- Christopher Fancher
- Christopher Ledford
- Corson Cramer
- Craig Blue
- Edgar Lara-Curzio
- Emma Betters
- Felix L Paulauskas
- Frederic Vautard
- Fred List III
- Gordon Robertson
- Greg Corson
- Harper Jordan
- Holly Humphrey
- Isha Bhandari
- James Klett
- Jay Reynolds
- Jeff Brookins
- Jesse Heineman
- Joel Asiamah
- Joel Dawson
- John Lindahl
- John Potter
- Josh B Harbin
- Keith Carver
- Liam White
- Luke Meyer
- Michael Borish
- Nance Ericson
- Pablo Moriano Salazar
- Philip Bingham
- Richard Howard
- Robert E Norris Jr
- Roger G Miller
- Santanu Roy
- Sarah Graham
- Singanallur Venkatakrishnan
- Steve Bullock
- Steven Guzorek
- Sumit Gupta
- Thomas Butcher
- Tony L Schmitz
- Trevor Aguirre
- Uvinduni Premadasa
- Varisara Tansakul
- Vera Bocharova
- Vincent Paquit
- Vladimir Orlyanchik
- Vlastimil Kunc
- William Peter
- Yukinori Yamamoto

Efficient thermal management in polymers is essential for developing lightweight, high-strength materials with multifunctional capabilities.

The disclosure is directed to optimized fiber geometries for use in carbon fiber reinforced polymers with increased compressive strength per unit cost. The disclosed fiber geometries reduce the material processing costs as well as increase the compressive strength.

System and method for part porosity monitoring of additively manufactured components using machining
In additive manufacturing, choice of process parameters for a given material and geometry can result in porosities in the build volume, which can result in scrap.

A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).

This manufacturing method uses multifunctional materials distributed volumetrically to generate a stiffness-based architecture, where continuous surfaces can be created from flat, rapidly produced geometries.

A novel and cost-effective process for the activation of carbon fibers was established.
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.

The lack of real-time insights into how materials evolve during laser powder bed fusion has limited the adoption by inhibiting part qualification. The developed approach provides key data needed to fabricate born qualified parts.

Distortion generated during additive manufacturing of metallic components affect the build as well as the baseplate geometries. These distortions are significant enough to disqualify components for functional purposes.

For additive manufacturing of large-scale parts, significant distortion can result from residual stresses during deposition and cooling. This can result in part scraps if the final part geometry is not contained in the additively manufactured preform.

Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.