Three-dimensional visualization of microstructures

Lanzagorta,; Král,; Swan,; Spanos,; Rosenberg,; Kuo, Sy‐Yen

doi:10.1109/visual.1998.745350

Cited by 10 publications

(15 citation statements)

References 6 publications

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“…Calibrated serial sectioning using conventional polishing [4,38,39] or milling machines [40 -41] can remove layers with thicknesses on the order of a few microns while the focused ion beam can remove layers with nanometer-scale thicknesses [42,43]. Alignment of the sections is usually accomplished using fiducial marks, and the most common are intentionally induced marks from a Vickers hardness indenter [44].…”

Section: Serial Sectioningmentioning

confidence: 99%

“…For example, an analysis of cementite precipitates in Fe 1.3 wt.% C 13.4 wt.% Mn showed that grain boundary precipitates exhibited a dendritic structure within the plane of the boundary and that precipitates growing into the grain are thin in one direction and have both lath and plate morphologies [38]. The complex structure of Sn dendrites in solidified Pb -Sn alloys has also been determined by serial sectioning and this has allowed local measurements of both the mean and Gaussian curvatures [40].…”

Section: Observed Grain Shapementioning

confidence: 99%

See 1 more Smart Citation

The distribution of internal interfaces in polycrystals

Rohrer¹,

Saylor²,

Dasher³

et al. 2004

MEKU

225

138

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Recent advances both in experimental instrumentation and computing power have made it possible to interrogate the distribution of internal interfaces in polycrystals and the three dimensional structure of the grain boundary network with an unprecedented level of detail. The purpose of this paper is to review techniques that can be used to study the mesoscopic crystallographic structure of grain boundary networks and to summarize current findings. Recent studies have shown that grain surfaces within dense polycrystals favor the same low energy planes that are found on equilibrium crystal shapes and growth forms of crystals in contact with another phase. In the materials for which comprehensive data exists, the distribution of grain boundaries is inversely correlated to the sum of the energies of the surfaces of the grains on either side of the boundary.

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Section: Serial Sectioningmentioning

confidence: 99%

Section: Observed Grain Shapementioning

confidence: 99%

The distribution of internal interfaces in polycrystals

Rohrer¹,

Saylor²,

Dasher³

et al. 2004

MEKU

225

138

View full text Add to dashboard Cite

show abstract

“…Wunsch realized the visualization of microstructure and analyzed the relation between structure and performance for SiC particle reinforced aluminum composites [20] . Lanzagorta employed AVS and some visualization software to obtain the 3D image of material structure, and applied the technique to an alloy steel to study the morphology, connectivity, and distribution of cementite precipitates formed during thermal processing [21] . In refs.…”

Section: Materials Graphicsmentioning

confidence: 99%

Materials informatics and study on its further development

2006

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Nowadays, with the development of materials science and technology and with the continuous emergence of new materials, technologies, processes and methods, proliferation and complexity of material science data have increased enormously. Therefore, difficulties encountered by researchers are how to manage and store various material science data efficiently, how to dig out valuable data to a great extent, and how to share the resources of material data and realize knowledge innovation when engaging in material science researches. The quick development of information technology and computer network technology provides possibility for the solution of these existing problems. With the combination of material science and information science for the material science research, materials informatics, a new discipline, has emerged and developed quickly. Materials informatics is a cross or edge discipline with the combination and permeation of material science and information science. , through combining traditional disciplines and information technology, a number of new disciplines have been established. Among the established disciplines, bioinformatics and chemoinformatics are the good examples. Their emergences and developments have facilitated the development of biology and chemistry greatly. Through referring to the development and research experience of bioinformatics and chemoinformatics, and combining the characteristics of material science (the variety of relevant data and the range of materials, processes, and properties [3] ), we propose here the definition of materials informatics and expound its concept. Materials informatics is a new subject that leverages information technology and computer network technology to represent, parse, store, manage and analyze the material data, in order to realize the sharing and knowledge mining of materials data, uncover the essence of material, and accelerate the new material discovery and design. Firstly, materials informatics is a branch of material sciences, and the objects and intentions of the research belong to the field of material sciences. Secondly, the means of the research are information and network technology. The content of the research is how to leverage the technologies to realize the representation, interpretation, storage, management and analysis of material data. Lastly, the aim of the research is to realize the sharing and knowledge mining of material data, uncover the essence of material, and accelerate and improve the development of new material discovery and design. Status of research and application of materials informatics at home and abroadThe proposition of materials informatics brought strong impact to the field of material research and industry. Many countries established special institutes and enterprises to engage in the active research of materials informatics and its products.

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“…Lanzagorta and others at NRL looked at the internal microstructure of steel by polishing down one layer at a time and scanning each with an SEM [17].They packed the slices back into 3D and visualized them using an immersive environment (in the GROTTO).The goal was to understand the morphology and distribution of grains and precipitates within the steel. The 3D visualization revealed new features: cementite precipitates that had appeared in 2D to be isolated were in fact in contact with austenite grain boundaries, and there was often a hole in the cementite grain boundary film near the base of cementite precipitates that had gone unnoticed in 2D.…”

Section: Visual Display Viewing Spatial Data As Spatial Datamentioning

confidence: 99%