Cantitate/Preț
Produs

Statistical Analysis of Microstructures in Materials Science

Autor Joachim Ohser, Frank Mücklich
en Limba Engleză Hardback – 19 dec 2000
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)
Citește tot Restrânge

Preț: 142167 lei

Preț vechi: 156227 lei
-9%

Puncte Express: 2133

Preț estimativ în valută:
25169 29307$ 21865£

Carte tipărită la comandă

Livrare economică 23 februarie-09 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780471974864
ISBN-10: 0471974862
Pagini: 416
Dimensiuni: 161 x 240 x 26 mm
Greutate: 0.77 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom

Public țintă

1. Applied Material Scientists 2. All Scientists (Materials, Earth, Metallurgists) involved in materials science, materials technology, mineralogy, petrography as well as those concerned with the application of image analysis and studying microscopic images in cytology, biology etc.
3. Industrial engineers familiar with basic statistical methods
4. Mathematical modeling researchers

Notă biografică

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.

Descriere

This text shows how stochastic geometry can be applied to real structural problems in materials science and technology. It pays particular attention to describing spatial sizes and shapes of grains and particles, developments in stochastic geometry, and relevant computer simulation techniques.