Accurate identification and measurement of internal voids and porosity is an important step
towards improvement of production processes to obtain high quality materials and products …

Visual computing has become highly attractive for boosting research endeavors in the
materials science domain. Using visual computing, a multitude of different phenomena may …

Pores are the most common defect in carbon fiber reinforced plastics (CFRPs). Numerical
predictive tools capable of taking into account the porosity characteristics, as detected by …

The present numerical study aims to analyze the effect of pores on propagating guided
waves while outlining the relevance of pore formation and its significance to structural …

Porosität hat in Kohlenstofffaserverbundwerkstoffen (CFK) negative Auswirkungen auf die
mechanischen Eigenschaften. Die vorliegende Arbeit behandelt die dreidimensionale …

With the purpose of cost and weight reduction in transportation industry and thus, reducing
weight of structural components in aircrafts, new kind of materials have been developed in …

Doctoral Thesis Page 1 Doctoral Thesis A Numerical Methodology for Predicting the Mechanical
Properties of Unidirectional Composite Laminates with Pores – Evaluation of Porous CFRP …

In the present work, proposed is a multi-scale finite element model for predicting the
mechanical properties of porous CFRP laminates by exploiting data from the novel and …