Actions for Process Integration and Optimization of ICME Carbon Fiber Composites for Vehicle Lightweighting [electronic resource] : A Preliminary Development
Process Integration and Optimization of ICME Carbon Fiber Composites for Vehicle Lightweighting [electronic resource] : A Preliminary Development
- Published
- Washington, D.C. : United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy - Physical Description
- pages 274-281 : digital, PDF file
- Additional Creators
- United States. Office of the Assistant Secretary of Energy Efficiency and Renewable Energy and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Summary
- Process integration and optimization is the key enabler of the Integrated Computational Materials Engineering (ICME) of carbon fiber composites. In this paper, automated workflows are developed for two types of composites: Sheet Molding Compounds (SMC) short fiber composites, and multi-layer unidirectional (UD) composites. For SMC, the proposed workflow integrates material processing simulation, microstructure representation volume element (RVE) models, material property prediction and structure preformation simulation to enable multiscale, multidisciplinary analysis and design. Processing parameters, microstructure parameters and vehicle subframe geometry parameters are defined as the design variables; the stiffness and weight of the structure are defined as the responses. For multi-layer UD structure, this work focuses on the discussion of different design representation methods and their impacts on the optimization performance. Challenges in ICME process integration and optimization are also summarized and highlighted. Two case studies are conducted to demonstrate the integrated process and its application in optimization.
- Report Numbers
- E 1.99:1431173
- Subject(s)
- Other Subject(s)
- Note
- Published through SciTech Connect.
01/02/2017.
SAE International Journal of Materials and Manufacturing 10 3 ISSN 1946-3987 AM
Hongyi Xu; Yang Li; Danielle Zeng.
Ford Motor Company, Dearborn, MI (United States) - Funding Information
- EE0006867
View MARC record | catkey: 23767919