Uncertainty of particle size measurements using dynamic image analysis

Published

May 14, 2019

Author(s)

Justin G. Whiting, Vipin N. Tondare, John H. Scott, Thien Q. Phan, M A. Donmez

Abstract

Metal powder particle size and size distribution (PSD) are critical factors affecting powder layer density and uniformity in additive manufacturing processes. Among various existing measurement methods, dynamic image analysis (DIA) instruments are very appealing for measuring PSD. However, the 'black box' nature and complex measurement process inherent to DIA make quantification of uncertainty challenging. A method to establish DIA-based measurement uncertainty based on calibrated powder samples via a scanning electron microscope is described. Uncertainty analysis was performed taking into account uncertainties associated with the calibration of the sample as well as non-similarities of the calibrated sample and the measured sample.

Citation

CIRP Annals-ManufacturingTechnology

Volume

68

Issue

1

Pub Type

Journals

Download Paper

https://doi.org/10.1016/j.cirp.2019.04.075

Keywords

Additive Manufacturing, Particle size distribution, measurement uncertainty

Citation

Whiting, J. , Tondare, V. , Scott, J. , Phan, T. and Donmez
, M. (2019), Uncertainty of particle size measurements using dynamic image analysis, CIRP Annals-ManufacturingTechnology, [online], https://doi.org/10.1016/j.cirp.2019.04.075 (Accessed January 2, 2025)