Experiences with ICME information infrastructures for applying materials models in sequence to give accurate macroscopic property prediction

This paper draws on findings from the Material Data Management Consortium. The consortium, now in its 15th year, enables leading engineering enterprises (including among others GE, Boeing, Honeywell, Lockheed Martin, and NASA) to collaborate on best practice approaches to managing and applying critical materials information and technology with a key focus on traceable workflows for simulation and multi-scale modelling of materials, their processing and the resulting components. A key emphasis has been on verification and validation of macroscopic materials properties generated through sequentially-applied materials models; from ab-initio codes or models of microscopic unit cells through calculations at various length scales up to macroscopic properties. An example of this integration technology is described, using the MAC/GMC micromechanics code from NASA Glenn Research Center. Focus is given to the traceability of the simulated data and capture of sufficient metadata to ensure that the simulations can be recreated in future. The traditional method for understanding the effects of these different factors on materials innovation follows a set pattern where advantageous properties are pursued, iterating between process and structure while measuring the appropriate property. Progress relies on extensive and expensive physical testing campaigns, which generate vast quantities of highly complex data. There are hundreds of possible test types within materials engineering, all generating data of differing types, complexity, and different formats

Information management workflow and tools enabling multiscale modeling within ICME paradigm

With the increased emphasis on reducing the cost and time to market of new materials, the need for analytical tools that enable the virtual design and optimization of materials throughout their processing - internal structure - property - performance envelope, along with the capturing and storing of the associated material and model information across its lifecycle, has become critical. This need is also fueled by the demands for higher efficiency in material testing; consistency, quality and traceability of data; product design; engineering analysis; as well as control of access to proprietary or sensitive information. Fortunately, material information management systems and physics-based multiscale modeling methods have kept pace with the growing user demands. Herein, recent efforts to establish workflow for and demonstrate a unique set of web application tools for linking NASA GRC’s Integrated Computational Materials Engineering (ICME) Granta MI® database schema and NASA GRC’s Integrated multiscale Micromechanics Analysis Code (ImMAC) software toolset are presented. The goal is to enable seamless coupling between both test data and simulation data, which is captured and tracked automatically within Granta MI®, with full model pedigree information. These tools, and this type of linkage, are foundational to realizing the full potential of ICME, in which materials processing, microstructure, properties, and performance are coupled to enable application-driven design and optimization of materials and structures

The Representation of Fiber Misalignment Distributions in Numerical Modeling of Compressive Failure of Fiber Reinforced Polymers

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