Evidence map›Paper›PMID 40649609›Full record

ArticleMaterials (Basel, Switzerland)2025

Process-Structure Co-Optimization of Glass Fiber-Reinforced Polymer Automotive Front-End Module.

Ziming Chen, Pengcheng Guo, Longjian Tan, Tuo Ye, Luoxing Li

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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. 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.

Ziming ChenCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China.
Pengcheng GuoIntelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang 421002, China.
Longjian TanCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China.
Tuo YeIntelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang 421002, China.
Luoxing LiCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China.

Funding

National Natural Science Foundation of China 52201074National Natural Science Foundation of China 52475344Natural Science Foundation of Changsha, China kq2208420Natural Science Foundation of Hunan Province, China 2024JJ5644
6 · The paper itself

Abstract

For automotive GFRP structural components, beyond structural design, the warpage, residual stress/strain, and fiber orientation inevitably induced during the injection molding process significantly compromise their service performance. These factors also diminish the reliability of performance assessments. Thus, it is imperative to develop a process-structure co-optimization approach for GFRP components. In this paper, the performance of a front-end module is evaluated through topological structure design, injection molding process optimization, and simulation with mapped injection molding history, followed by experimental validation and analysis. Under ±1000 N loading, the initial design shows excessive displacement at the latch mounting points (2.254 mm vs. <2.0 mm limit), which is reduced to 1.609 mm after topology optimization. By employing a sequential valve control system, the controls of the melt line and fiber orientation are is superior to thatose of conventional gating systems. The optimal process parameter combination is determined through orthogonal experiments, reducing the warpage to 1.498 mm with a 41.5% reduction compared to the average warpage of the orthogonal tests. The simulation results incorporating injection molding data mapping (fiber orientation, residual stress-strain) show closer agreement with experimental measurements. When the measured displacement exceeded 0.65 mm, the average relative error Er, range R, and variance s2 between the experimental results and mapped simulations were 11.78%, 14%, and 0.002462, respectively, validating the engineering applicability of this method. The methodology and workflow can provide methodological support for the design and performance assessment of GFRP automotive body structures, which enhances structural rigidity, improves control over injection molding process defects, and elevates the reliability of performance evaluation.

Indexed as

finite element methodfront-end moduleglass fiber reinforced polymerinjection moldinginjection molding history mappingprocess parameters optimizationtopology optimization

Identifiers

PMID40649609
PMCPMC12250687

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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.