Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...

Details

Autor(en) / Beteiligte
Titel
Process parameters optimization for improving surface quality and manufacturing accuracy of binder jetting additive manufacturing process
Ist Teil von
  • Rapid prototyping journal, 2016-01, Vol.22 (3), p.527-538
Ort / Verlag
Bradford: Emerald Group Publishing Limited
Erscheinungsjahr
2016
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Purpose Binder jetting (BJ) process is an additive manufacturing (AM) process in which powder materials are selectively joined by binder materials. Products can be manufactured layer-by-layer directly from three-dimensional model data. The quality properties of the products fabricated by the BJ AM process are significantly affected by the process parameters. To improve the product quality, the optimal process parameters need to be identified and controlled. This research works with the 420 stainless steel powder material. Design/methodology/approach This study focuses on four key printing parameters and two end-product quality properties. Sixteen groups of orthogonal experiment designed by the Taguchi method are conducted, and then the results are converted to signal-to-noise ratios and analyzed by analysis of variance. Findings Five sets of optimal parameters are concluded and verified by four group confirmation tests. Finally, by taking the optimal parameters, the end-product quality properties are significantly improved. Originality/value These optimal parameters can be used as a guideline for selecting proper printing parameters in BJ to achieve the desired properties and help to improve the entire BJ process ability.
Sprache
Englisch
Identifikatoren
ISSN: 1355-2546
eISSN: 1758-7670
DOI: 10.1108/RPJ-11-2014-0149
Titel-ID: cdi_crossref_primary_10_1108_RPJ_11_2014_0149

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX