Evidence map›Paper›PMID 35607669›Full record

ArticleHardwareX2021

Automated melt electrowritting platform with real-time process monitoring.

Pawel Mieszczanek, Sebastian Eggert, Peter Corke, Dietmar W Hutmacher

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in HardwareX, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Advances in melt electrowriting for cardiovascular applications.Frontiers in bioengineering and biotechnology · 2024
    Review
  4. 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

4 authors.

Pawel MieszczanekCentre in Transformative Biomimetics in Bioengineering, Queensland University of Technology, Brisbane, QLD 4000, Australia.
Sebastian EggertDepartment of Mechanical Engineering, Technical University of Munich, Garching 85748, Germany.
Peter CorkeQUT Centre for Robotics, Queensland University of Technology, Brisbane, QLD 4000, Australia.
Dietmar W HutmacherCentre in Transformative Biomimetics in Bioengineering, Queensland University of Technology, Brisbane, QLD 4000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melt electrowriting (MEW) is an additive manufacturing (AM) technology with the ability to fabricate complex designs with high-resolution. The utility of MEW is studied in many fields including tissue engineering and soft robotics. However, current MEW hardware offers only basic functionality and is often designed and built in-house. This affects results replication across different MEW devices and slows down the technological advancement. To address these issues, we present an automated MEW platform with real-time process parameter monitoring and control. We validate the developed platform by demonstrating the ability to accurately print polymer structures and successfully measure and adjust parameters during the printing process. The platform enables the collection of large volumes of data that can be subsequently used for further analysis of the system. Ultimately, the concept will help MEW to become more accessible for both research laboratories and industry and allow advancing the technology by leveraging the process monitoring, control and data collection.

Indexed as

3D printingAdditive manufacturingAutomationMelt electrowritingProcess monitoring

Identifiers

PMID35607669
PMCPMC9123438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.