Evidence map›Paper›PMID 36661556›Full record

ArticleDentistry journal2023

Monitoring the Calibration of In-Office 3D Printers.

Esha Mukherjee, Luke Malone, Edward Tackett, Bakeerathan Gunaratnam, Gerald Thomas Grant

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Dentistry journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Esha MukherjeeAdvanced Graduate Education Program Prosthodontics, University of Louisville School of Dentistry (ULSD), Louisville, KY 40202, USA.
Luke MaloneAdditive Manufacturing Institute of Science & Technology (AMIST), University of Louisville J.B Speed School of Engineering, Louisville, KY 40292, USA.
Edward TackettAdditive Manufacturing Institute of Science & Technology (AMIST), University of Louisville J.B Speed School of Engineering, Louisville, KY 40292, USA.
Bakeerathan GunaratnamBioinformatics and Biostatistics Department, University of Louisville School of Public, Health and Information Sciences, Louisville, KY 40202, USA.
Gerald Thomas GrantAdvanced Graduate Education Program Prosthodontics, University of Louisville School of Dentistry (ULSD), Louisville, KY 40202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most desktop 3D printers lack features that allow manual calibration of printer parameters. It is crucial to assess the accuracy of printing to minimize the margin of error and variance between each print. Therefore, this study aimed to develop a method for monitoring the calibration of in-office 3D printers. A calibration coupon was designed to have a tolerance and dimensions that define nominal geometry and allow the measurement of variances occurring in X−Y axes and curvature. Ten printing cycles were run on two stereolithography (SLA) 3D printers with two different resins. Additionally, the coupons were positioned in five positions on the build platform to assess errors caused by differences in positioning. Measurements were made on the X and Y axes. No statistical difference was noted between the coupons being printed in different positions on the build platform and between the two resins at both X and Y axes of measurement (p > 0.05). Desktop 3D printers currently lack a standardized calibration protocol, which provides a closed loop for design and manufacturing of printed parts. The coupon in this study will allow monitoring the calibration of desktop 3D printers to ensure high-quality printing.

Indexed as

calibrationdental resinsdesktop 3D printersprint accuracystereolithography (SLA)

Identifiers

PMID36661556
PMCPMC9858488

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.