Sensitivity Analysis and Multi-Objective Optimization Strategy of the Curing Profile for Autoclave Processed Thick Composite Laminates.

Yiben Zhang, Guangshuo Feng, Bo Liu

Abstract read

In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing 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

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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

3 citing papers in PubMed.

Degradation characteristics of 3D printed continuous fibre-reinforced PA6/chopped fibre composites in simulated saltwater.Progress in additive manufacturing · 2025
Article
Global Sensitivity Analysis of Factors Influencing the Surface Temperature of Mold during Autoclave Processing.Polymers · 2024
Article
Advancements in Functionally Graded Polyether Ether Ketone Components: Design, Manufacturing, and Characterisation Using a Modified 3D Printer.Polymers · 2023
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

3 authors.

Yiben ZhangSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Guangshuo FengSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-7967-5152

Bo LiuSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

Funding

Fundamental Research Funds for the Central Universities No. FRF-BD-20-08A, No. FRF-BD-19-003A

6 · The paper itself

Abstract

To mitigate the risk of manufacturing defects and improve the efficiency of the autoclave-processed thick composite component curing process, parameter sensitivity analysis and optimization of the curing profile were conducted using a finite element model, Sobol sensitivity analysis, and the multi-objective optimization method. The FE model based on the heat transfer and cure kinetics modules was developed by the user subroutine in ABAQUS and validated by experimental data. The effects of thickness, stacking sequence, and mold material on the maximum temperature (

Indexed as

CFRPcuring processfinite element simulationmulti-objective optimizationsensitivity analysis

Identifiers

PMID37299234

DOI10.3390/polym15112437

PMCPMC10255843

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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.