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Effects of selective laser melting process parameters on the accuracy of the intaglio surface of maxillary removable partial denture frameworks
- Source :
- Rapid Prototyping Journal. 28:1625-1635
- Publication Year :
- 2022
- Publisher :
- Emerald, 2022.
-
Abstract
- Purpose This in vitro study aims to explore the effects of selective laser melting (SLM) process parameters on the accuracy of the intaglio surface of cobalt–chromium alloy (Co–Cr), commercially pure titanium (CP Ti) and titanium alloy (Ti–6Al–4V) maxillary removable partial denture (RPD) frameworks and optimize these process parameters. Design/methodology/approach Maxillary RPD framework specimens designed on a benchmark model were built. The process parameters, including contour scan speed and laser power, infill scan speed and laser power, hatch space, build orientation and metallic powder type, were arranged through the Taguchi design. Three-dimensional deviations of the clasps area, connector area and overall area of maxillary RPD frameworks were analyzed by using root mean square (RMS) as a metric. One-way analyses of variance with the above RMSs as the dependent variable were carried out (α = 0.05). Findings Maxillary RPD frameworks built horizontally had a more accurate intaglio surface than those built at other orientation angles; CP Ti or Ti–6Al–4V maxillary RPD frameworks had a more accurate intaglio surface than Co–Cr ones; the Maxillary RPD framework built with a higher infill scan speed and lower infill laser power had the more accurate intaglio surface than the one built with other levels of these two process parameters. Originality/value A novel benchmark model for evaluating the accuracy of the intaglio surface of maxillary RPD frameworks manufactured by SLM is proposed. The accuracy of the intaglio surface of maxillary RPD frameworks can be improved by adjusting SLM process parameters. The optimal setting of process parameters concerning the accuracy of the intaglio surface of maxillary RPD frameworks was given.
- Subjects :
- Mechanical Engineering
Industrial and Manufacturing Engineering
Subjects
Details
- ISSN :
- 13552546
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Rapid Prototyping Journal
- Accession number :
- edsair.doi...........07493477a5f5b66c3873acdb53e83964