Evidence map›Paper›PMID 41597855›Full record

ArticleMicromachines2026

A Novel Technique for Quality Control of Microinjection Molding.

Abdel Naser Daoud, Atef M Ghaleb, Zulfiqur Ali, Ali Abdelhafeez Hassan

Abstract read
In one paragraph

Article in Micromachines, 2026. 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. Review
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.

Abdel Naser DaoudDepartment of Mechanical Engineering, College of Engineering & Advanced Computing, Alfaisal University, Riyadh 11533, Saudi Arabia.
Atef M GhalebDepartment of Industrial Engineering, College of Engineering & Advanced Computing, Alfaisal University, Riyadh 11533, Saudi Arabia.ORCID 0000-0003-4666-3283
Zulfiqur AliUniversity of Cumbria, Fusehill Campus, Carlisle CA1 2HH, UK.ORCID 0000-0001-9884-8146
Ali Abdelhafeez HassanInstitute of Engineering, Computing and Advanced Manufacturing, University of Cumbria, Barrow-in-Furness LA14 2PJ, UK.ORCID 0000-0002-1933-4284

Funding

Alfaisal University 2025
6 · The paper itself

Abstract

In the microinjection molding process, continuous monitoring is important for optimization of the process and control. In microfluidic or lab-on-chip devices, defective microfeatures can compromise biological assays and diagnostic results, and therefore, the quality of these features is a critical issue. Microfeatures can be inspected using advanced inspection and microscopic techniques, but these are expensive, time-consuming, and difficult to use for full-scale production. We present here a new technique for quality control of microfeatures, which uses the filling of a controlled microcavity inside or outside the molded part as a quality control tool for filling microfeatures. Micro gaps (checkpoints) are used as an indicator of microfeature filling. Two micro gaps can be used for filling (checkpoints) as a Go/No-Go gauge.

Indexed as

AI quality controlinjection molding quality controlinjection molding simulationmicroinjection moldingpredictive control

Identifiers

PMID41597855
PMCPMC12843679

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.