Evidence map›Paper›PMID 36236330›Full record

ArticleSensors (Basel, Switzerland)2022

The Development of a Digital Twin Framework for an Industrial Robotic Drilling Process.

Ahmad Farhadi, Stephen K H Lee, Eoin P Hinchy, Noel P O'Dowd, Conor T McCarthy

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Ahmad FarhadiConfirm Centre, University of Limerick, V94 C928 Limerick, Ireland.ORCID 0000-0003-1034-7959
Stephen K H LeeConfirm Centre, University of Limerick, V94 C928 Limerick, Ireland.ORCID 0000-0001-8300-4063
Eoin P HinchyConfirm Centre, University of Limerick, V94 C928 Limerick, Ireland.ORCID 0000-0003-1698-6196
Noel P O'DowdConfirm Centre, University of Limerick, V94 C928 Limerick, Ireland.
Conor T McCarthyConfirm Centre, University of Limerick, V94 C928 Limerick, Ireland.

Funding

European Commission 847577Science Foundation Ireland 16/RC/3918
6 · The paper itself

Abstract

A digital twin is a digital representation of a physical entity that is updated in real-time by transfer of data between physical and digital (virtual) entities. In this manuscript we aim to introduce a digital twin framework for robotic drilling. Initially, a generic reference model is proposed to highlight elements of the digital twin relevant to robotic drilling. Then, a precise reference digital twin architecture model is developed, based on available standards and technologies. Finally, real-time visualisation of drilling process parameters is demonstrated as an initial step towards implementing a digital twin of a robotic drilling process.

Indexed as

RoboticsRobotic Surgical ProceduresSurgery, Computer-Assisteddigital twinrobotic machiningsmart manufacturing

Identifiers

PMID36236330
PMCPMC9571147

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.