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Search Publications by: Brandon Lane (Assoc)

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Displaying 1 - 25 of 154

A Fully Registered In-Situ and Ex-Situ Dataset for Metal Powder Bed Fusion Additive Manufacturing: Data Processing, Feature Extraction, Registration, and Uncertainties

May 8, 2025
Author(s)
Zhuo Yang, Yan Lu, Ho Yeung, Brandon Lane, Nicole Van Handel
This document details the data registration process for the previously published datasets from Additive Manufacturing Metrology Testbed (AMMT) parts, "Overhang Part X4," generated at the National Institute of Standards and Technology. The two datasets —one

Microstructural Features and Metastable Phase Formation in a High-Strength Aluminum Alloy Fabricated Using Additive Manufacturing

April 25, 2025
Author(s)
Andrew Iams, Jordan Weaver, Brandon Lane, Lucille Giannuzzi, Feng Yi, Darby LaPlant, John Martin, Fan Zhang
Additive manufacturing (AM) has captured recent attention for its potential to fabricate high-strength aluminum alloy components. A detailed understanding of the microstructure under the as-fabricated conditions is required to harness its potential. We

Multi-Scale Model Predictive Control for Laser Powder Bed Fusion Additive Manufacturing

November 13, 2024
Author(s)
Gi Suk Hong, Zhuo Yang, Yan Lu, Brandon Lane, Ho Yeung, Jaehyuk Kim
Additive manufacturing (AM) process stability is critical for ensuring part quality. Model Predictive Control (MPC) has been widely recognized as a robust technology for controlling manufacturing processes across various industries. Despite its widespread

In-process monitoring and non-destructive evaluation for metal additive manufacturing processes

September 17, 2024
Author(s)
Alkan Donmez, Jason Fox, Felix Kim, Brandon Lane, Maxwell Praniewicz, Vipin Tondare, Jordan Weaver, Paul Witherell
The rapid pace of maturation of metal additive manufacturing (AM) technologies, makes them an excellent candidate for the fabrication of nuclear power plant (NPP) components. However, the current levels of process variations create numerous challenges yet

Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges

May 7, 2024
Author(s)
Jordan Weaver, David Deisenroth, Sergey Mekhontsev, Brandon Lane, Lyle E. Levine, Ho Yeung
AM Bench is a NIST-led organization that provides a continuing series of additive manufacturing (AM) benchmark measurements, challenge problems, and conferences with the primary goal of enabling modelers to test their simulations against rigorous, highly

High-resolution Melt Pool Thermal Imaging for Metals Additive Manufacturing Using the Two-color Method with a Single Color Camera

July 5, 2023
Author(s)
Alexander Myers, Guadalupe Quirarte, Francis Ogoke, Brandon Lane, Syed Uddin, Amir Barati Farimani, Jack Beuth, Jonathan Malen
We introduce an experimental method to image melt pool temperature with a single commercial color camera and compare the results with multi-physics computational fluid dynamic (CFD) models. This approach leverages the principle of two-color (i.e

Laser spot size and scaling laws for laser beam additive manufacturing

November 3, 2021
Author(s)
Jordan Weaver, Jarred C. Heigel, Brandon Lane
Laser powder bed fusion (L-PBF) additive manufacturing (AM) requires the careful selection of laser process parameters for each feedstock material and machine, which is a laborious process. Scaling laws based on the laser power, speed, and spot size; melt

Measurement Uncertainty of Surface Temperature Distributions for Laser Powder Bed Fusion Processes

August 10, 2021
Author(s)
David Deisenroth, Sergey Mekhontsev, Brandon Lane, Leonard M. Hanssen, Ivan Zhirnov, Vladimir Khromchenko, Steven Grantham, Daniel Cardenas-Garcia, Alkan Donmez
This paper describes advances in measuring the characteristic spatial distribution of surface temperature and emissivity during laser-metal interaction under conditions relevant for laser powder bed fusion (LPBF) additive manufacturing processes. Detailed
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