Sharp volumetric billboard based characterization and modeling of complex 3D Ni/Al high energy ball milled composites

•We develop a new image-based modeling technique based on the volumetric billboard method.•The large data compression is obtained.•The model reduction retains the first and the second order statistics.•High-performance computing is utilized for crystal plasticity simulations.•The accurate mechanical...

Full description

Saved in:

Bibliographic Details
Published in:	Mechanics of materials 2017-05, Vol.108 (C), p.93-106
Main Authors:	Yushu, Dewen, Lee, Sangmin, Matouš, Karel
Format:	Article
Language:	eng
Subjects:	Crystal plasticity Google Earth Image-based modeling Model reduction Ni/Al composite Volumetric billboard
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	•We develop a new image-based modeling technique based on the volumetric billboard method.•The large data compression is obtained.•The model reduction retains the first and the second order statistics.•High-performance computing is utilized for crystal plasticity simulations.•The accurate mechanical behavior is obtained.•Crystallographic texture plays an important role. We present an innovative image-based modeling technique, based on Google Earth like algorithms, to effectively resolve intricate material morphology and address the computational complexity associated with heterogeneous materials. This sharp volumetric billboard algorithm stems from a volumetric billboard method, a multi-resolution modeling strategy in computer graphics. In this work, we enhance volumetric billboards through a sharpening filter to reconstruct the statistical information of heterogeneous systems. A hierarchy of microstructures is created for high energy ball milled Ni/Al composites. We analyze the first- and second-order statistics of microstructures, and characterize both macro- and micro-mechanical material responses. Furthermore, we conduct a convergence study of the associated computational results. The statistical and mechanical robustness of data compression is demonstrated through the corresponding error analysis.
ISSN:	0167-6636 1872-7743