Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these linkages presents a major challenge because of the need to cover unimaginably large dimensional spaces. Hierarchical Materials Informatics addresses objective, computationally efficient, mining of large ensembles of experimental and modeling datasets to extract this core materials knowledge. Furthermore, it aims to organize and present this high value knowledge in highly accessible forms to end users engaged in product design and design for manufacturing efforts. As such, this emerging field has a pivotal role in realizing the goals outlined in current strategic national initiatives such as the Materials Genome Initiative (MGI) and the Advanced Manufacturing Partnership (AMP). This book presents the foundational elements of this new discipline as it relates to the design, development, and deployment of hierarchical materials critical to advanced technologies.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Surya R. Kalidindi earned a B.Tech. in Civil Engineering from the Indian Institute of Technology, Madras, an M.S. in Civil Engineering from Case Western Reserve University, and a Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology. After his graduation from MIT in 1992, Surya joined the Department of Materials Science and Engineering at Drexel University as an Assistant Professor, where he served as the Department Head during 2000-2008. In 2013, Surya accepted a new position as a Professor of Mechanical Engineering in the George W. Woodruff School at Georgia Institute of Technology, with joint appointments in the School of Computational Science and Engineering and in the School of Materials Science and Engineering. Surya’s research efforts over the past two decades have made seminal contributions to the fields of crystal plasticity, microstructure design, spherical nanoindentation, and materials informatics. His work has already produced about 200 journal articles, four book chapters, and a new book on Microstructure Sensitive Design. His work is well cited by peer researchers as reflected by an h-index of 52 and current citation rate of about 1000 citations/year (Google Scholar). He has recently been awarded the Alexander von Humboldt award in recognition of his lifetime achievements in research. He has been elected a Fellow of ASME, ASM International, TMS, and Alpha Sigma Mu.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. pp. 424. Artikel-Nr. 95216904
Anzahl: 3 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9780124103948_new
Anzahl: Mehr als 20 verfügbar
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Über den AutorProfessor Surya Kalidindi holds joint appointments in the Woodruff School of Mechanical Engineering and the School of Computational Science and Engineering at Georgia Institute of Technology. His research over the past. Artikel-Nr. 594358839
Anzahl: Mehr als 20 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these presents a major challenge because these linkages need to cover unimaginably large dimensional spaces. Materials Informatics demonstrates how it is now possible to automate the acquisition of fairly large experimental datasets and apply sophisticated numerical models on these datasets to examine their response during various processing (manufacturing) steps and/or service conditions, thereby helping to speed up the time needed for the design, development and deployment of important new materials. \* Addresses a critical gap in new materials research and development by presenting a rigorous statistical framework for the quantification of microstructure \* Contains several case studies illustrating the use of modern data analytic tools on microstructure datasets (both experimental and modeling). Artikel-Nr. 9780124103948
Anzahl: 2 verfügbar