Ut-battelle, Inc.

Iowa State University Research Foundation, Inc.

University of Tennessee Research Foundation

Eck Industries, Inc.

Lawrence Livermore National Security, LLC

Carl Zeiss Industrial Metrology, LLC

Ryan Dehoff

Orlando Rios

David J Weiss

Hunter B Henderson

Zachary C Sims

Ryan T Ott

Alex J Plotkowski

Scott McCall

Amit Shyam

Sudarsanam Suresh Babu

Ying Yang

Peeyush Nandwana

Niyanth Sridharan

Alexander J Plotkowski

Kevin D Sisco

William H Peter

Vincent C Paquit

Sumit Bahl

Craig A Blue

Philip R Bingham

Randall F Lind

Louis F Aprigliano

Phillip C Chesser

Jason L Pries

Marcin B Bauza

Michael S Kesler

Frederick Alyious List, Iii

Kurt A Terrani

Christian M Petrie

Bradley S Richardson

Samuel C Leach

Curtis Frederick

Paul Brackman

Pradeep Bhattad

Lonnie L Love

Benjamin R Betzler

Kevin G Field

James Haley

Amir Ziabari

Singanallur Venkatakrishnan

Abhishek Dubey

Richard Michi

Michael M Kirka

Lawrence Allard, Jr

Benjamin Stump

Wei Chen

Keith Carver

Jason James Tenboer

Aleksandr Lisovich

Edson Costa Santos

Nondestructive evaluation (NDE) of objects can elucidate impacts of various process parameters and qualification of the object. Computed tomography (CT) enables rapid NDE and characterization of objects. However, CT presents challenges because of artifacts produced by standard reconstruction algorithms. Beam-hardening artifacts especially complicate and adversely impact the process of detecting defects. By leveraging computer-aided design (CAD) models, CT simulations, and a deep-neutral network high-quality CT reconstructions that are affected by noise and beam-hardening can be simulated and used to improve reconstructions. The systems and methods of the present disclosure can significantly improve the reconstruction quality, thereby enabling better detection of defects compared with the state of the art.

System and method for artifact reduction of computed tomography reconstruction leveraging artificial intelligence and a priori known model for the object of interest

Disclosed herein are embodiments of an Al—Ce—Cu alloy for use in additive manufacturing. The disclosed alloy embodiments provide fabricated objects, such as bulk components, comprising a heterogeneous microstructure and having good mechanical properties even when exposed to conditions used during the additive manufacturing process. Methods for making and using alloy embodiments also are disclosed herein.

Aluminum-cerium-copper alloys for metal additive manufacturing

A nuclear fuel cladding with improved thermomechanical properties is provided. The nuclear fuel cladding includes a double-walled construction having inner and outer hexagonal sidewalls. The inner sidewall and the outer sidewall are spaced apart from each other to form a cooling channel therebetween, and the inner sidewall surrounds a nuclear fuel and is spaced apart from the nuclear fuel by a small gap. Helical fins extend into the cooling channel to interconnect the inner sidewall and the outer sidewall. Resilient fingers extend toward the nuclear fuel through the small gap to comply with variations in the size of the nuclear fuel due to fabrication tolerances as well as thermal expansion and swelling of the nuclear fuel, for example UO, when undergoing fission. The nuclear fuel cladding is formed according to an additive manufacturing process, for example laser powder bed fusion printing.

3D printed features on nuclear fuel cladding for optimized heat transfer

Disclosed herein are embodiments of an Al—Ce—Ni alloy for use in additive manufacturing. The disclosed alloy embodiments provide fabricated objects, such as bulk components, comprising a heterogeneous microstructure and having good mechanical properties even when exposed to conditions used during the additive manufacturing process. Methods for making and using alloy embodiments also are disclosed herein.

Aluminum-cerium-nickel alloys for additive manufacturing

A method and a system for digital image correlation and thermal monitoring during directed energy deposition are provided. The method and the system include global off-axis 3D mapping of surfaces features at high frame rates using the natural surface roughness of the additive build. Infrared thermography is projected onto these surface features to record the thermo-mechanical history of the finished component. As set forth herein, the method and the system provide a low-cost solution to monitoring and optimizing the unique temporal artifacts induced by complex scan strategies.

In-situ digital image correlation and thermal monitoring in directed energy deposition

An apparatus includes a control system that defines a test part having multiple features of multiple feature types. The control system controls an additive manufacturing (AM) machine to print multiple copies of the test part, with each copy being printed according to a respective set of values used as printing parameters. A measurement system obtains a computed tomography (CT) image of each of the copies of the test part. An analysis system, for each of the plurality of feature types, analyzes the CT images to identify a selected set of values for the printing parameters. The analysis system identifies a portion of the CT image related to a first feature and assesses its density based on an average grayscale value. The AM machine is then controlled to print production parts according to, for each feature type of the production parts, the selected set of values for the printing parameters.

Method for rapid development of additive manufacturing parameter set

Disclosed herein are embodiments of an Al&#x2014;Ce&#x2014;Mn alloy for use in additive manufacturing. The disclosed alloy embodiments provide fabricated objects, such as bulk components, comprising a heterogeneous microstructure and having good mechanical properties even when exposed to conditions used during the additive manufacturing process. Methods for making and using alloy embodiments also are disclosed herein.

Aluminum-cerium-manganese alloy embodiments for metal additive manufacturing

Described herein are additive manufacturing methods and products made using such methods. The alloy compositions described herein are specifically selected for the additive manufacturing methods and provide products that exhibit superior mechanical properties as compared to their cast counterparts. Using the compositions and methods described herein, products that do not exhibit substantial coarsening, such as at elevated temperatures, can be obtained. The products further exhibit uniform microstructures along the print axis, thus contributing to improved strength and performance. Additives also can be used in the alloys described herein.

Additive manufacturing methods using aluminum-rare earth alloys and products made using such methods

Disclosed herein are embodiments of soft magnetic alloy embodiments for use in additive manufacturing and structures fabricated from such alloys. In some embodiments, the fabricated structures comprise a continuous thin wall (or plurality thereof) having a geometry that promotes reduced eddy current losses and other performance enhancements. In some embodiments, the fabricated structures are used to make components, such as transformer cores and/or electric motors.

Soft magnetic alloy embodiments for additive manufacturing and geometric structures formed therefrom

Embodiments of surface-hardened aluminum-rare earth alloys and methods of making the alloys are disclosed. In some embodiments, the alloy comprises aluminum and 4 wt % to 60 wt % of a rare earth component X having a maximum solid solubility of &#x2264;0.5 wt % in aluminum. The surface-hardened alloy component has an alloy bulk portion and a hardened alloy surface portion. At least a portion of the hardened alloy surface portion has a Vickers hardness that is at least 30% greater than a Vickers hardness of the alloy bulk portion.

Surface-hardened aluminum-rare earth alloys and methods of making the same

A composite stainless steel composition is composed essentially of, in terms of wt. % ranges: 25 to 28 Cr; 11 to 13 Ni; 7 to 8 W; 3.5 to 4 Mo; 3 to 3.5 B; 2 to 2.5 Mn; 1 to 1.5 Si; 0.3 to 1.7 C; up to 2 O; balance Fe. The composition has an austenitic matrix phase and a particulate, crystalline dispersed phase.

Nano-composite stainless steel

A robotic, prosthetic or orthotic member includes a body formed of a solidified metallic powder. At least one working fluid cylinder is formed in the body. A piston is provided in the working fluid cylinder for pressurizing a fluid in the cylinder. At least one working fluid conduit receives the pressurized fluid from the cylinder. The body, working fluid cylinder and working fluid conduit have a unitary construction. A method of making a robotic member is also disclosed.

Freeform fluidics

Growing community of inventors

Knoxville, TN, United States of America

Ryan Dehoff