738 research outputs found
Analytical validation of innovative magneto-inertial outcomes: a controlled environment study.
peer reviewe
Processing-Structure-Property Relationships in Ni-based Superalloy René 41
The cast and wrought Nickel based superalloy René 41 combines excellent strength, toughness, and corrosion properties. Its mechanical properties outperform all similar competitor aerospace alloys such as Waspaloy and Haynes 282. However, processing of René 41 remains challenging due to cracking and inhomogeneous grain size distributions, resulting in poor yield, limiting more wide-spread application. Therefore, despite having been developed in the 1950s, René 41 is not yet widely applied, and published research is limited. However, trends towards higher efficiency aircraft engines have now reignited interest in René 41 as a candidate material in next generation engines due to its excellent property profile. This necessitates new research to reduce the knowledge gaps in the processing-microstructure-property relationships of René 41.
Correlative high-resolution microscopy is successfully applied to identify previously ambiguous secondary phases in René 41. This approach reveals complete space group, as well as high quality compositional information. These insights are applied to the development of an experimental precipitation study, and to update a current thermodynamic database for superalloys. The updated database has improved predictive quality regarding phase stability and composition of the grain boundary carbides M6C and M23C6. Applying these results to kinetic simulations also demonstrates higher predictive power. Such improved simulations are required to optimize the precipitation behaviour and predict material properties after processing. Comparison to literature data shows that the updated database yields improvements for other alloys besides René 41 as well, such as Haynes 282, Waspaloy and alloys in the Nimonic series. Further, dynamic restoration processes are studied based on laboratory scale hot-working experiments. Targeted design of the temperature profiles, allows the effect of nm scale γ’ precipitates on microstructural evolution to be isolated. Implementing the gained insights in simulations and phenomenological models advances the capabilities of modern software tools, providing better insights into microstructural processes.
The results presented in this thesis will thus advance the understanding of the microstructural evolution in René 41 and the descriptive capabilities of modern thermodynamic simulation packages. This will facilitate higher yield in processing and enable future alloy design for next generation aerospace applications
2008 GREAT Day Program
SUNY Geneseo’s Second Annual GREAT Day.https://knightscholar.geneseo.edu/program-2007/1002/thumbnail.jp
2022 Review of Data-Driven Plasma Science
Data-driven science and technology offer transformative tools and methods to science. This review article highlights the latest development and progress in the interdisciplinary field of data-driven plasma science (DDPS), i.e., plasma science whose progress is driven strongly by data and data analyses. Plasma is considered to be the most ubiquitous form of observable matter in the universe. Data associated with plasmas can, therefore, cover extremely large spatial and temporal scales, and often provide essential information for other scientific disciplines. Thanks to the latest technological developments, plasma experiments, observations, and computation now produce a large amount of data that can no longer be analyzed or interpreted manually. This trend now necessitates a highly sophisticated use of high-performance computers for data analyses, making artificial intelligence and machine learning vital components of DDPS. This article contains seven primary sections, in addition to the introduction and summary. Following an overview of fundamental data-driven science, five other sections cover widely studied topics of plasma science and technologies, i.e., basic plasma physics and laboratory experiments, magnetic confinement fusion, inertial confinement fusion and high-energy-density physics, space and astronomical plasmas, and plasma technologies for industrial and other applications. The final section before the summary discusses plasma-related databases that could significantly contribute to DDPS. Each primary section starts with a brief introduction to the topic, discusses the state-of-the-art developments in the use of data and/or data-scientific approaches, and presents the summary and outlook. Despite the recent impressive signs of progress, the DDPS is still in its infancy. This article attempts to offer a broad perspective on the development of this field and identify where further innovations are required
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