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Powder Bed Thermal Diffusivity Using Laser Flash Three Layer Analysis.

Ummay Habiba^1,2, Rainer J Hebert^1,2,3

¹Department of Materials Science and Engineering, University of Connecticut, Storrs, CT 06269, USA.

Materials (Basel, Switzerland)

|October 14, 2023

Summary

This summary is machine-generated.

This study measured the thermal diffusivity of Inconel 718 powder for laser powder bed fusion (LPBF). Analysis using R software corrected experimental data to match actual thermal diffusivity values.

Keywords:

INCONEL718 powder INCONEL718 solid Ti64 powder additive manufacturing laser flash technique laser powder bed fusion (LPBF)powder cell powdered sample thermal diffusivity three layer analysis

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Area of Science:

Materials Science
Additive Manufacturing
Thermal Engineering

Background:

Thermal diffusivity of powder beds is critical for laser powder bed fusion (LPBF) part quality.
LPBF mechanical properties are significantly affected by powder bed thermal properties.

Purpose of the Study:

To measure the thermal diffusivity of Inconel 718 (IN718) metallic powder in LPBF conditions.
To validate measurements using reference samples and published data.
To refine experimental data using R software for accurate thermal diffusivity values.

Main Methods:

Laser flash analysis using a DLF1600 instrument with a specialized powder cell.
Measurements conducted at various temperatures.
Validation against reference materials and existing literature.

Main Results:

Initial experimental results for powder samples showed lower thermal diffusivity than expected.
R software analysis was employed to adjust and improve the accuracy of the thermal diffusivity data.
Obtained powder thermal diffusivity values closely approximated the actual material properties.

Conclusions:

Accurate measurement of IN718 powder thermal diffusivity is achievable using laser flash analysis with appropriate data correction.
R software analysis is effective in refining experimental thermal diffusivity data for powders.
Precise thermal property data is essential for optimizing LPBF processes and material performance.