Rapid surface quality assessment of green 3D printed metal-binder parts. (February 2019)
- Record Type:
- Journal Article
- Title:
- Rapid surface quality assessment of green 3D printed metal-binder parts. (February 2019)
- Main Title:
- Rapid surface quality assessment of green 3D printed metal-binder parts
- Authors:
- Rane, Kedarnath
Castelli, Kevin
Strano, Matteo - Abstract:
- Highlights: A machine and process for additive manufacturing by extrusion of viscous metal/binder mixtures is described. The effect of process parameters on surface quality of infill layers is studied experimentally. A method for rapid assessment of surface quality of infill via image processing is proposed. Abstract: Mixtures made of a solid metal powder and a viscous polymeric binder are increasingly used in material Extrusion Additive Manufacturing (EAM) processes. The EAM process adopts the relative movement of an extruder head to a build table, to deposit thin strands of the mixture and build a 3D object layer by layer. In this study, EAM process was applied to produce 3D printed square plate-shaped parts of stainless steel 316 L at the green state, i.e. before debinding and sintering. The 3D printing experiments were designed by considering various independent process parameters: extrusion velocity ve, table velocity vt, layer height h and hatch spacing Da . The surface characteristics of as printed (green) square plate-shaped parts were investigated by a rapid, high-resolution optical imaging technique. The obtained images were analyzed to model the effect of the process parameters on the surface uniformity Ui and space filling Fi . The proposed methodology can be also used as a process monitoring technique. The study has demonstrated that the layer height h has the most relevant effect on the infill quality and should be set at a low value for good quality. However,Highlights: A machine and process for additive manufacturing by extrusion of viscous metal/binder mixtures is described. The effect of process parameters on surface quality of infill layers is studied experimentally. A method for rapid assessment of surface quality of infill via image processing is proposed. Abstract: Mixtures made of a solid metal powder and a viscous polymeric binder are increasingly used in material Extrusion Additive Manufacturing (EAM) processes. The EAM process adopts the relative movement of an extruder head to a build table, to deposit thin strands of the mixture and build a 3D object layer by layer. In this study, EAM process was applied to produce 3D printed square plate-shaped parts of stainless steel 316 L at the green state, i.e. before debinding and sintering. The 3D printing experiments were designed by considering various independent process parameters: extrusion velocity ve, table velocity vt, layer height h and hatch spacing Da . The surface characteristics of as printed (green) square plate-shaped parts were investigated by a rapid, high-resolution optical imaging technique. The obtained images were analyzed to model the effect of the process parameters on the surface uniformity Ui and space filling Fi . The proposed methodology can be also used as a process monitoring technique. The study has demonstrated that the layer height h has the most relevant effect on the infill quality and should be set at a low value for good quality. However, a combination of the other parameters can be found that yields a compromise between infill surface quality and build up rate. … (more)
- Is Part Of:
- Journal of manufacturing processes. Volume 38(2019)
- Journal:
- Journal of manufacturing processes
- Issue:
- Volume 38(2019)
- Issue Display:
- Volume 38, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 38
- Issue:
- 2019
- Issue Sort Value:
- 2019-0038-2019-0000
- Page Start:
- 290
- Page End:
- 297
- Publication Date:
- 2019-02
- Subjects:
- Additive manufacturing -- Extrusion -- Feedstock -- Image processing -- Surface quality
Production management -- Data processing -- Periodicals
Manufacturing processes -- Periodicals
Procestechnologie
Productietechniek
Production -- Gestion -- Informatique -- Périodiques
Fabrication -- Périodiques
Manufacturing processes
Production management -- Data processing
Periodicals
670.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15266125 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jmapro.2019.01.032 ↗
- Languages:
- English
- ISSNs:
- 1526-6125
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5011.640000
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British Library HMNTS - ELD Digital store - Ingest File:
- 9648.xml