Wear of structural oxide ceramics produced through additive manufacturing

Article

Abstract

Ceramics have exceptional tribological performance in high wear applications, but susceptibility to brittle fracture requires expensive postprocessing, including hot isostatic pressing and polishing. Consequently, additive manufacturing (AM) represents a collection of potentially costsaving approaches for ceramic production. AM technologies have been demonstrated for oxide ceramics, but the performance of self-mated AM materials remains unknown and underscores a critical knowledge gap. Alumina and zirconia pins produced with photo-polymerization, binderjetting, or material-jetting were obtained. For each fabrication method, the average wear coefficient was determined using pin-on-disk testing. Conventionally pressed and sintered ceramics were applied as counterface surfaces and controls. The manufacturing approach did not demonstrate differences in wear coefficient for zirconia. However, photopolymerized alumina was shown to outperform material-matched binder-jetted and conventional pin-disk tribopairs. Starting surface roughness and bulk density were found to correlate volumetric wear. Characterization of the AM ceramics revealed that photo-polymerization and material-jetting were capable of dense and refined microstructures. Evaluations indicate that ceramics produced with photo-polymerization and certain powder-bed AM approaches meet and exceed conventional ceramics, supporting the expansion of AM ceramic applications.

Attributes

Attribute NameValues
Creator
  • J. Schiltz

  • Andrew Rosenberger

  • Todd Render

  • Bernice Aboud Gatrell

  • Haibo Qu

  • Colton Steiner

  • Paul McGinn

  • Steve Schmid

Journal or Work Title
  • Procedia Manufacturing

Volume
  • 34

First Page
  • 780

Last Page
  • 788

ISSN
  • 23519789

Publication Date
  • 2019-06

Subject
  • Magellan SEM

Publisher
  • Elsevier

Date Created
  • 2019-10-16

Language
  • English

Departments and Units
Record Visibility and Access Public
Content License
  • All rights reserved

Digital Object Identifier

doi:10.1016/j.promfg.2019.06.206

This DOI is the best way to cite this article.