Articoli correlati a Statistical Analysis of Microstructures in Materials...

Statistical Analysis of Microstructures in Materials Science - Rilegato

Libro 2 di 46: International series of monographs in natural philosophy

Ohser, Joachim; M252;cklich, Frank

 
9780471974864: Statistical Analysis of Microstructures in Materials Science

Sinossi

Dieses Gemeinschaftswerk eines Mathematikers und eines Materialwissenschaftlers zeigt, wie sich die stochastische Geometrie sinnvoll zur Lösung von Strukturproblemen in der Werkstofftechnik anwenden läßt. Ausführlich eingegangen wird auf die Größe und Gestalt von Körnchen und Partikeln, die neuesten Entwicklungen der stochastischen Geometrie und auf relevante Verfahren der Computersimulation. (08/99)

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull'autore

Joachim Ohser holds a Chair at University of Applied Sciences, Darmstadt, Germany, where he is a professor in the field of image processing. He has long experience with characterization and geometric modelling of microstructures. Since 1999 he heads the working group on quantitative microstructural analysis of the German Materials Society. His research focuses on stochastic and discrete geometry, image analysis and simulation of materials properties.

Dalla quarta di copertina

The investigation of the origin and formation of microstructures and the effect that microstructure has on the properties of materials are important issues in materials science and technology. Geometrical analysis is often the key to understanding the formation of microstructures and the resulting material properties. The authors make use of mathematical morphology, spatial statistics, image processing, stereology and stochastic geometry to analyze microstructures arising in materials science.
* Quantitative microstructure analysis is one of the most successful experimental techniques in materials science
* Uses examples to demonstrate the techniques
* Program code included enables the reader to apply the numerous algorithms
* Accessible to material scientists with limited statistical knowledge
Primarily aimed at applied materials scientists, the book will also appeal to those working and researching in earth sciences, material technology, mineralogy, petrography, image analysis, cytology and biology.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.