Evidence map›Paper›PMID 34832159›Full record

ArticleMaterials (Basel, Switzerland)2021

Non-Contact Multiscale Analysis of a DPP 3D-Printed Injection Die for Investment Casting.

Arkadiusz Kroma, Michał Mendak, Michał Jakubowicz, Bartosz Gapiński, Paweł Popielarski

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Arkadiusz KromaDivision of Foundry and Plastic Working, Institute of Materials Technology, Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznan, Poland.ORCID 0000-0003-2739-3812
Michał MendakDivision of Metrology and Measurement Systems, Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland.
Michał JakubowiczDivision of Metrology and Measurement Systems, Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland.ORCID 0000-0002-6350-0411
Bartosz GapińskiDivision of Metrology and Measurement Systems, Institute of Mechanical Technology, Poznan University of Technology, 60-965 Poznan, Poland.
Paweł PopielarskiDivision of Foundry and Plastic Working, Institute of Materials Technology, Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznan, Poland.ORCID 0000-0003-3797-5461

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The investment casting method supported with 3D-printing technology, allows the production of unit castings or prototypes with properties most similar to those of final products. Due to the complexity of the process, it is very important to control the dimensions in the initial stages of the process. This paper presents a comparison of non-contact measurement systems applied for testing of photopolymer 3D-printed injection die used in investment casting. Due to the required high quality of the surface parameters, the authors decided to use the DPP (Daylight Polymer Printing) 3D-printing technology to produce an analyzed injection die. The X-ray CT, Structured blue-light scanner and focus variation microscope measurement techniques were used to avoid any additional damages to the injection die that may arise during the measurement. The main objective of the research was to analyze the possibility of using non-contact measurement systems as a tool for analyzing the quality of the surface of a 3D-printed injection die. Dimensional accuracy analysis, form and position deviations, defect detection, and comparison with a CAD model were carried out.

Indexed as

3D printingDPPfocus variation microscopyinvestment castingstructured blue-light scannerX-CT

Identifiers

PMID34832159
PMCPMC8624798

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Registered trials

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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.