A Methodology To Model The Statistical Fracture Behavior Of Acrylic Glasses For Stochastic Simulation

In this work, a methodology is proposed to statistically model the fracture behavior of acrylic glasses for numerical simulation. The aim is to give guidance to users of comparable materials. In detail, the collection of necessary measurement data and their analysis is presented. By applying the model, a stochastic finite-element simulation is performed for a head impact onto an automotive rear-side window made from acrylic glass. Based on the wide spread of the resulting head injury criteria, the relevance of a statistical material characterization for product safety is discussed. Marcel Berlinger studied mechanical engineering at Technische Hochschule Mittelhessen - University of Applied Sciences, and completed his Master's degree in 2017. Since then, he has been a research assistant and doctoral student in the Team of Prof. Dr.-Ing. habil. Stefan Kolling at the Institute of Mechanics and Materials at Technische Hochschule Mittelhessen.

A statistical modelling method for simulating the fracture behaviour of acrylic glass is presented using the application case of an automotive rear side window. The collection of the necessary measurement data and their analysis is described. The aim is to give guidance to users of comparable materials. Finally, the model is integrated into the finite element simulation of a head impact test of the pane. Based on the resulting spread of the head injury criterion, the relevance of a statistical material characterisation for product safety is discussed.

A temperature and strain rates dependent fracture model is developed based on Weibull statistics to quantitatively describe the brittle-ductile transition of glass fracture in precision glass molding process. Under the assistance of FEM simulation, this fracture model can be used to calculate the fracture probability of glass during the precision glass molding process. Meanwhile, the most probable fracture timing, location of fracture initiation and fracture pattern can be also predicted.

Since its creation in 1884, Engineering Index has covered virtually every major engineering innovation from around the world. It serves as the historical record of virtually every major engineering innovation of the 20th century. Recent content is a vital resource for current awareness, new production information, technological forecasting and competitive intelligence. The world?s most comprehensive interdisciplinary engineering database, Engineering Index contains over 10.7 million records. Each year, over 500,000 new abstracts are added from over 5,000 scholarly journals, trade magazines, and conference proceedings. Coverage spans over 175 engineering disciplines from over 80 countries. Updated weekly.

This volume on materials engineering comprises a collection of abstracts of recent scholarly papers and articles concerning a wide variety of topics related to the effects of structural defects and diffusion in many material areas, including thin-film manufacturing and facing metals.