Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Particle size characterisation of metals powders for additive manufacturing using a microwave sensor

Clark, Nicholas ORCID: https://orcid.org/0000-0002-5306-0993, Jones, Nick, Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544 and Porch, Adrian ORCID: https://orcid.org/0000-0001-5293-8883 2018. Particle size characterisation of metals powders for additive manufacturing using a microwave sensor. Powder Technology 327 , pp. 536-543. 10.1016/j.powtec.2017.11.042

Full text not available from this repository.

Abstract

The production of high-value and high-quality metal parts with complex interior structures is enabled by the use of Additive Manufacturing (AM) techniques, which use metal powders with repeatable characteristics. Of these characteristics, particle size distribution is a key factor. This paper describes a particle size sensor based on a microwave cavity. It works on the principle that the magnetic permeability of metallic powders at microwave frequencies depends strongly on the particle size distribution of the powder owing to the classical skin effect. The sensor's capability is demonstrated by measurement of the permeability of a range of Ti6Al4V alloy powders with different particle size distributions. Permeability is shown to be congruent generally with the existing theory. The reduced imaginary permeability compared with the theoretical case observed for larger particle sizes is shown to be consistent with simulation. The method is also demonstrated to be highly precise, able to detect changes of < 0.1 μm for particles of average radii of approximately 11.7 μm. Increases in sensitivity are possible by optimising the sensor design so that it operates in the regime where the permeability changes most rapidly as a function of particle size.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0032-5910
Date of Acceptance: 13 November 2017
Last Modified: 06 Jul 2023 10:09
URI: https://orca.cardiff.ac.uk/id/eprint/110018

Citation Data

Cited 11 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item