Evidence map›Paper›PMID 39172972›Full record

ArticlePloS one2024

External gas-assisted mold temperature control and optimization molding parameters for improving weld line strength in polyamide plastics.

Nguyen Truong Giang, Pham Son Minh, Tran Anh Son, Van-Thuc Nguyen, Tran Minh The Uyen, Thanh Trung Do, Van Thanh Tien Nguyen

Abstract read
In one paragraph

Article in PloS one, 2024. 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
–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

0 citing papers in PubMed.

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

7 authors.

Nguyen Truong GiangHo Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam.
Pham Son MinhHCMC University of Technology and Education, Ho Chi Minh City, Vietnam.ORCID 0000-0002-8236-2202
Tran Anh SonHo Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam.
Van-Thuc NguyenHCMC University of Technology and Education, Ho Chi Minh City, Vietnam.
Tran Minh The UyenHCMC University of Technology and Education, Ho Chi Minh City, Vietnam.
Thanh Trung DoHCMC University of Technology and Education, Ho Chi Minh City, Vietnam.
Van Thanh Tien NguyenIndustrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam.ORCID 0000-0002-2534-5465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we present a novel approach to injection molding, focusing on the strength of weld lines in polyamide 6 (PA6) composite samples. By implementing a mold temperature significantly higher than the typical molding practice, which rarely exceeds 100°C, we assess the effects of advanced mold temperature management. The research introduces a newly engineered mold structure specifically designed for localized mold heating, distinguishing it as the 'novel cavity.' This innovative design is compared against traditional molding methods to highlight the improvements in weld line strength at elevated mold temperatures. To optimize the molding parameters, we apply an Artificial Neural Network (ANN) in conjunction with a Genetic Algorithm (GA). Our findings reveal that the optimal ultimate tensile strength (UTS) and elongation values are achieved with a filling time of 3.4 seconds, packing time of 0.8 seconds, melt temperature of 246°C, and a novel high mold temperature of 173°C. A specific sample demonstrated the best molding parameters at a filling time of 3.4 seconds, packing time of 0.4 seconds, melt temperature of 244°C, and mold temperature of 173°C, resulting in an elongation value of 582.6% and a UTS of 62.3 MPa. The most influential factor on the PA6 sample's UTS and elongation at the weld line was found to be the melt temperature, while the filling time had the least impact. SEM analysis of the fracture surfaces revealed ductile fractures with rough surfaces and grooves, indicative of the weld line areas' bonding quality. These insights pave the way for significant improvements in injection molding conditions, potentially revolutionizing the manufacturing process by enhancing the structural integrity of the weld lines in molded PA6 samples.

Indexed as

NylonsAlgorithmsCaprolactamGasesMaterials TestingNeural Networks, ComputerPlasticsPolymersTemperatureTensile StrengthCaprolactamGasesnylon 6NylonsPlasticsPolymers

Identifiers

PMID39172972
PMCPMC11340943

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.