Evidence map›Paper›PMID 36365589›Full record

ArticlePolymers2022

Simulation of Motor Core Gluing Process with Fine Mesh Nets.

Yong-Jie Zeng, Chia-Wei Liang, Sheng-Jye Hwang, Yu-Da Liu, Chien-Sheng Huang

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 62% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 3 institutions in 1 country.

Yong-Jie ZengDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701401, Taiwan.
Chia-Wei LiangDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701401, Taiwan.
Sheng-Jye HwangDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701401, Taiwan.
Yu-Da LiuDepartment of Green Energy & System Integration Research, China Steel Corporation, Kaohsiung 812401, Taiwan.
Chien-Sheng HuangDepartment of Metal Processing R&D, Metal Industries Research and Development Centre, Kaohsiung 811225, Taiwan.
National Cheng Kung University · TWChina Steel (Taiwan) · TWMetal Industries Research & Development Centre · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The actual process of using a resin to glue can optimize many shortcomings in the basic traditional process of welding a motor core. For example, the use of a resin for gluing can lead to a reduction in iron loss, improve rigidity, reduce processing times, and improve product quality. When using a gluing method, the biggest challenge is the distribution of the resin; therefore, resin distribution is very much important. This experiment used fine mesh nets to eventually improve the unbalanced state of resin distribution. In this research, in order to predict real flow behavior during gluing, computer-aided engineering was used for computer simulation. The results of the simulation showed that the illustrated trend of the filling process was very much similar to the actual experimental results. The simulation results could mostly predict defects and make effective improvements, which can lead to a significant reduction in the money and time spent on experiments. The simulation results of the dipping process also showed that the distribution of resin with fine mesh nets was more even than without fine mesh nets. Fine mesh nets can eventually improve an over-flow problem, which, ultimately, causes bumps. In this research, a simulation analysis of the gluing process of a motor core with fine mesh nets was conducted, and the results show that the resin distribution and the flow front of the runner were more even than those without fine mesh nets.

Indexed as

bondingcomputer-aided engineering toolsfine mesh structureiron coreiron sheet

Identifiers

PMID36365589
PMCPMC9655634
OpenAlexW4307940199

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.