Powder bed metal additive manufacturing (AM) utilizes a high-energy heat source scanning at the surface of a powder layer in a pre-defined area to be melted and solidified to fabricate parts layer by layer. It is known that powder bed metal AM is primarily a thermal process and further, heat conduction is the dominant heat transfer mode in the process. Hence, understanding the powder bed thermal conductivity is crucial to process temperature predictions, because powder thermal conductivity could be substantially different from its solid counterpart. On the other hand, measuring the powder thermal conductivity is a challenging task. The objective of this study is to investigate the powder thermal conductivity using a method that combines a thermal diffusivity measurement technique and a numerical heat transfer model. In the experimental aspect, disk-shaped samples, with powder inside, made by a laser powder bed fusion (LPBF) system, are measured using a laser flash system to obtain the thermal diffusivity and the normalized temperature history during testing. In parallel, a finite element model is developed to simulate the transient heat transfer of the laser flash process. The numerical model was first validated using reference material testing. Then, the model is extended to incorporate powder enclosed in an LPBF sample with thermal properties to be determined using an inverse method to approximate the simulation results to the thermal data from the experiments. In order to include the powder particles’ contribution in the measurement, an improved model geometry, which improves the contact condition between powder particles and the sample solid shell, has been tested. A multi-point optimization inverse heat transfer method is used to calculate the powder thermal conductivity. From this study, the thermal conductivity of a nickel alloy 625 powder in powder bed conditions is estimated to be 1.01 W/m·K at 500 °C.
Skip Nav Destination
ASME 2018 13th International Manufacturing Science and Engineering Conference
June 18–22, 2018
College Station, Texas, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-5135-7
PROCEEDINGS PAPER
A Combined Experimental-Numerical Method to Evaluate Powder Thermal Properties in Laser Powder Bed Fusion
Bo Cheng,
Bo Cheng
University of Louisville, Louisville, KY
Search for other works by this author on:
Brandon Lane,
Brandon Lane
National Institute of Standards and Technology, Gaithersburg, MD
Search for other works by this author on:
Justin Whiting,
Justin Whiting
National Institute of Standards and Technology, Gaithersburg, MD
Search for other works by this author on:
Kevin Chou
Kevin Chou
University of Louisville, Louisville, KY
Search for other works by this author on:
Bo Cheng
University of Louisville, Louisville, KY
Brandon Lane
National Institute of Standards and Technology, Gaithersburg, MD
Justin Whiting
National Institute of Standards and Technology, Gaithersburg, MD
Kevin Chou
University of Louisville, Louisville, KY
Paper No:
MSEC2018-6664, V001T01A030; 10 pages
Published Online:
September 24, 2018
Citation
Cheng, B, Lane, B, Whiting, J, & Chou, K. "A Combined Experimental-Numerical Method to Evaluate Powder Thermal Properties in Laser Powder Bed Fusion." Proceedings of the ASME 2018 13th International Manufacturing Science and Engineering Conference. Volume 1: Additive Manufacturing; Bio and Sustainable Manufacturing. College Station, Texas, USA. June 18–22, 2018. V001T01A030. ASME. https://doi.org/10.1115/MSEC2018-6664
Download citation file:
22
Views
Related Proceedings Papers
Related Articles
Nonlinear Transient Heat Conduction Using Similarity Groups
J. Heat Transfer (February,2000)
A Combined Experimental-Numerical Method to Evaluate Powder Thermal Properties in Laser Powder Bed Fusion
J. Manuf. Sci. Eng (November,2018)
Thermal Property Measurements of Reactive Materials: The Macroscopic Behavior of a Nanocomposite
J. Heat Transfer (November,2012)
Related Chapters
Microstructure Evolution and Physics-Based Modeling
Ultrasonic Welding of Lithium-Ion Batteries
Experimental Investigation of an Improved Thermal Response Test Equipment for Ground Source Heat Pump Systems
Inaugural US-EU-China Thermophysics Conference-Renewable Energy 2009 (UECTC 2009 Proceedings)
Novel and Efficient Mathematical and Computational Methods for the Analysis and Architecting of Ultralight Cellular Materials and their Macrostructural Responses
Advances in Computers and Information in Engineering Research, Volume 2