Efficient analysis of composites manufacturing using multi-fidelity simulation and probabilistic machine learning-Reference-Cited by-同舟云学术

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Efficient analysis of composites manufacturing using multi-fidelity simulation and probabilistic machine learning

Published:2024-07 Issue: Volume:280 Page:111499
ISSN:1359-8368
Container-title:Composites Part B: Engineering
language:en
Short-container-title:Composites Part B: Engineering

Author:

Schoenholz Caleb^ORCID,Zappino Enrico,Petrolo Marco^ORCID,Zobeiry Navid^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. The origins of residual stress and its evaluation in composite materials;Zobeiry,2015

2. Multiscale characterization and representation of composite materials during processing;Zobeiry;Phil Trans Math Phys Eng Sci,2016

3. 2.3 autoclave processing;Fernlund,2018

4. Spring-in and warpage of angled composite laminates;Albert;Compos Sci Technol,2002

5. Predicting shim gaps in aircraft assembly with machine learning and sparse sensing;Manohar;J Manuf Syst,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recent approaches of interface strengthening in fibre metal laminates: Processes, measurements, properties and numerical analysis;Composites Part B: Engineering;2024-10

2. A critical review on machine learning applications in fiber composites and nanocomposites: Towards a control loop in the chain of processes in industries;Materials & Design;2024-09

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