Evidence map›Paper›PMID 34372118›Full record

ArticlePolymers2021

Application of Intelligent Modeling Method to Optimize the Multiple Quality Characteristics of the Injection Molding Process of Automobile Lock Parts.

Wei-Tai Huang, Chia-Lun Tsai, Wen-Hsien Ho, Jyh-Horng Chou

Abstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Wei-Tai HuangDepartment of Mechanical Engineering, National Pingtung University of Science and Technology, Pingtung 912, Taiwan.ORCID 0000-0002-2370-4030
Chia-Lun TsaiDepartment of Mechanical Engineering, National Pingtung University of Science and Technology, Pingtung 912, Taiwan.
Wen-Hsien HoDepartment of Mechanical Engineering, National Pingtung University of Science and Technology, Pingtung 912, Taiwan.ORCID 0000-0001-6194-0563
Jyh-Horng ChouDepartment of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung 807, Taiwan.

Funding

Ministry of Science and Technology, Taiwan MOST 109-2221-E-020-019-MY2
6 · The paper itself

Abstract

This study focuses on applying intelligent modeling methods to different injection molding process parameters, to analyze the influence of temperature distribution and warpage on the actual development of auto locks. It explores the auto locks using computer-aided engineering (CAE) simulation performance analysis and the optimization of process parameters by combining multiple quality characteristics (warpage and average temperature). In this experimental design, combinations were explored for each single objective optimization process parameter, using the Taguchi robust design process, with the

Indexed as

conformal coolingfuzzy theoryinjection moldingmultiple performance characteristic index (MPCI)shrinkageTaguchi methodswarpage

Identifiers

PMID34372118
PMCPMC8348185

What OpenQuestion holds

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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.