Journal of Quality Engineering Society
Online ISSN : 2189-9320
Print ISSN : 2189-633X
ISSN-L : 2189-633X
Optimization of Printing Conditions in a 3D Printer by Parameter Design using Transferability
Makoto NakaharaNaomasa IshiiNobuyuki Gomi
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2022 Volume 30 Issue 1 Pages 47-53

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Abstract
This study was carried out to propose and optimize a method of evaluating a 3D printer used in an educational institution. It was proposed that the S/N ratio of transferability would be an effective evaluation technique. As an experiment, the parameter design method used in quality engineering was applied to a nominal-is-best characteristic, specifically, the ratio of product dimensions to drawing dimensions, using the Taguchi-Mahalanobis system with a single unit space. The possibility of obtaining more practical conditions by further optimization was confirmed.
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© 2022 Robust Quality Engineering Society
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