Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Brandon Lane (Fed)

Mechanical Engineer

Brandon’s research focuses on applied sensing and monitoring of dynamic, high temperature manufacturing processes such as laser-based additive manufacturing (AM) and high speed machining.  His current research involves applied thermography, high speed imaging, image processing, machine metrology, and thermal material property measurement for the laser powder bed fusion (LPBF) AM process.  Primary goals of this research are to 1) better understand the underlying physical phenomena that occur in high power laser interaction with metals and metal powders 2) investigate how these physical phenomena affect the accuracy and measurement uncertainty of process monitoring sensors and instrumentation and 3) utilize these measurements to improve, compare, or validate multi-physics models and simulations.  He leads the Metrology for Real-time Monitoring of Additive Manufacturing project, co-leads developments of the Additive Manufacturing Metrology Testbed (AMMT), and is on the organizing committee for the Additive Manufacturing Benchmark Test Series (AM-Bench).


  • Best Paper Award – 2015 Solid Freeform Fabrication Symposium – for Lane et al. “Thermographic Measurements of the Commercial Laser Powder Bed Fusion Process at NIST” – Solid Freeform Fabrication Symposium
  • NAMRI/SME Outstanding Paper 2014 – for Madhavan et al. “Fiber Orientation Angle Effects in Machining of Unidirectional CFRP Laminated Composites” – Presented at the 42nd North American Manufacturing Research Conference



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

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
Created July 30, 2019, Updated June 15, 2021