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Search Publications by: Brandon Lane (Fed)

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Displaying 1 - 25 of 73

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

July 5, 2023
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
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
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

Numerical Evaluation of Advanced Laser Control Strategies Influence on Residual Stresses for Laser Powder Bed Fusion Systems

November 30, 2020
Carraturo Massimo, Brandon Lane, Ho Yeung, Stefan Kollmannsberger, Alessandro Reali, Ferdinando Auricchio
Process-dependent residual stresses are one of the main burdens to a wide spread adoption of laser powder bed fusion technology in industry. Residual stresses are directly influenced by process parameters, such as laser path, laser power, and speed. In

Development of Computational Framework for Titanium Alloy Phase Transformation Prediction in Laser Powder-bed Direct Energy Additive Manufacturing

October 16, 2020
Zhi Liang, Ivan Zhirnov, Fan Zhang, Kevontrez K. Jones, David C. Deisenroth, Maureen E. Williams, Ursula R. Kattner, Kil-Won Moon, Wing-Kam Liu, Brandon M. Lane, Carelyn E. Campbell
In conjunction with bare metal single laser track validation experiments, a computational framework is proposed to accelerate the design and development of new additive manufacturing (AM) specific alloys. Specifically, Additive Manufacturing-Computational

Transient Laser Energy Absorption, Co-axial Melt Pool Monitoring, and Relationship to Melt Pool Morphology

August 16, 2020
Brandon M. Lane, Ivan Zhirnov, Sergey Mekhontsev, Steven E. Grantham, Richard E. Ricker, Santosh Rauniyar, Kevin Chou
Many recent and ongoing studies into the complex melt pool physics during laser powder bed fusion (LPBF) metal additive manufacturing (AM) process measure various aspects of energy transport surrounding the laser-induced melt pool, with focus on laser

Location-specific Microstructure Characterization Within IN625 Additive Manufacturing Benchmark Test Artifacts

March 3, 2020
Mark R. Stoudt, Maureen E. Williams, Lyle E. Levine, Adam Abel Creuziger, Sandra A. Young, Jarred C. Heigel, Brandon Lane, Thien Q. Phan
Additive manufacturing (AM) of metals creates segregated microstructures with significant differences from those of traditional wrought alloys. Understanding how the local build conditions generate specific microstructures is essential for developing post

Outcomes and Conclusions from the 2018 AM-Bench Measurements, Challenge Problems, Modeling Submissions, and Conference

February 13, 2020
Lyle E. Levine, Brandon M. Lane, Jarred C. Heigel, Kalman D. Migler, Mark R. Stoudt, Thien Q. Phan, Richard E. Ricker, Maria Strantza, Michael R. Hill, Fan Zhang, Jonathan E. Seppala, Edward J. Garboczi, Erich D. Bain, Daniel Cole, Andrew J. Allen, Jason C. Fox, Carelyn E. Campbell
The Additive Manufacturing Benchmark Test Series (AM-Bench) was established to provide rigorous measurement test data for validating additive manufacturing (AM) simulations for a broad range of AM technologies and material systems. AM-Bench includes