Preface
The Integrated Computational Materials Engineering (ICME) thrust is an integral part of the Materials Genome Initiative (MGI) that has been launched to
advance multi-scale materials modeling for addressing complex materials structureproperty-performance-processing relationships. It is viewed as the integration of
computational tools for materials discovery, design, and sustained development,
with information technologies, component design systems, and manufacturing
process simulations, to foster improved product performance, manufacturability,
and sustainability. The ICME thrust is aimed at novel innovations in fundamental
science and engineering of materials for providing significant tools that can bridge
the gap between materials engineering and component design. Robust theoretical,
computational, and experimental methods pertaining to materials, performances,
and process models are emerging as a consequence of this thrust. High-performance
structural applications that have been hitherto restricted to available structural
materials with limited ability to integrate new materials into the design process are
now opening up to new possibilities with the advances made in this thrust.
While structural engineering has greatly benefited from the introduction of
effective computational tools, such as finite element, finite difference, and boundary
element methods, advances in computational and experimental methods have
been more piecemeal for the materials community. This is due to the underlying
complexities in processing-structure-property relationships for different classes of
materials like metals, polymer matrix composites, and ceramics. The materials
science paradigm for structural materials relates the internal structure, produced
through processing, to the desired properties and response. The ICME approach
has helped create synergistic advances in materials research, blending advanced
computational mechanics with materials characterization, multi-scale modeling,
and experimental property acquisition, providing a strong computational backbone
for integrating computational tools and data handling methods with high pedigree
experimental methods for accelerating materials transition into component design
to achieve improved product manufacturability, performance, and sustainability.
vii
Précédent

- 6/416

Suivant