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Title: An Integrated Computational Materials Engineering Method for Woven Carbon Fiber Composites Preforming Process

Abstract

An integrated computational materials engineering method is proposed in this paper for analyzing the design and preforming process of woven carbon fiber composites. The goal is to reduce the cost and time needed for the mass production of structural composites. It integrates the simulation methods from the micro-scale to the macro-scale to capture the behavior of the composite material in the preforming process. In this way, the time consuming and high cost physical experiments and prototypes in the development of the manufacturing process can be circumvented. This method contains three parts: the micro-scale representative volume element (RVE) simulation to characterize the material; the metamodeling algorithm to generate the constitutive equations; and the macro-scale preforming simulation to predict the behavior of the composite material during forming. The results show the potential of this approach as a guidance to the design of composite materials and its manufacturing process.

Authors:
; ; ; ; ; ; ;
Publication Date:
Research Org.:
Ford Motor Company, Detroit, MI (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1431016
DOE Contract Number:  
EE0006867
Resource Type:
Conference
Resource Relation:
Journal Volume: 1769; Conference: The 19th International ESAFORM Conference on Material Forming (ESAFORM 2016)
Country of Publication:
United States
Language:
English
Subject:
Composite, Preforming, Integrated Computational Materials Engineering (ICME)

Citation Formats

Zhang, Weizhao, Ren, Huaqing, Wang, Zequn, Liu, Wing K., Chen, Wei, Zeng, Danielle, Su, Xuming, and Cao, Jian. An Integrated Computational Materials Engineering Method for Woven Carbon Fiber Composites Preforming Process. United States: N. p., 2016. Web. doi:10.1063/1.4963592.
Zhang, Weizhao, Ren, Huaqing, Wang, Zequn, Liu, Wing K., Chen, Wei, Zeng, Danielle, Su, Xuming, & Cao, Jian. An Integrated Computational Materials Engineering Method for Woven Carbon Fiber Composites Preforming Process. United States. doi:10.1063/1.4963592.
Zhang, Weizhao, Ren, Huaqing, Wang, Zequn, Liu, Wing K., Chen, Wei, Zeng, Danielle, Su, Xuming, and Cao, Jian. Wed . "An Integrated Computational Materials Engineering Method for Woven Carbon Fiber Composites Preforming Process". United States. doi:10.1063/1.4963592. https://www.osti.gov/servlets/purl/1431016.
@article{osti_1431016,
title = {An Integrated Computational Materials Engineering Method for Woven Carbon Fiber Composites Preforming Process},
author = {Zhang, Weizhao and Ren, Huaqing and Wang, Zequn and Liu, Wing K. and Chen, Wei and Zeng, Danielle and Su, Xuming and Cao, Jian},
abstractNote = {An integrated computational materials engineering method is proposed in this paper for analyzing the design and preforming process of woven carbon fiber composites. The goal is to reduce the cost and time needed for the mass production of structural composites. It integrates the simulation methods from the micro-scale to the macro-scale to capture the behavior of the composite material in the preforming process. In this way, the time consuming and high cost physical experiments and prototypes in the development of the manufacturing process can be circumvented. This method contains three parts: the micro-scale representative volume element (RVE) simulation to characterize the material; the metamodeling algorithm to generate the constitutive equations; and the macro-scale preforming simulation to predict the behavior of the composite material during forming. The results show the potential of this approach as a guidance to the design of composite materials and its manufacturing process.},
doi = {10.1063/1.4963592},
journal = {},
issn = {0094-243X},
number = ,
volume = 1769,
place = {United States},
year = {2016},
month = {10}
}

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