Skip to main content Accessibility help
×
Hostname: page-component-7479d7b7d-qlrfm Total loading time: 0 Render date: 2024-07-12T14:20:39.772Z Has data issue: false hasContentIssue false

9 - Simulation of the Temperature Behaviour of Hot Glass during Cooling

Published online by Cambridge University Press:  05 June 2012

Ellis Cumberbatch
Affiliation:
Claremont Graduate School, California
Alistair Fitt
Affiliation:
University of Southampton
Get access

Summary

Preface

The Institute for Industrial Mathematics, which will become the first Fraunhofer Institute for applied mathematics in Germany, has focused its work on practical problems coming from industry. The following case study deals with a very old problem in the production of glass. It is part of a project of the ITWM with Schott Glas, the most important producer of specialized glasses in Germany. The famous physicist Josef von Fraunhofer faced the problem when trying to produce large lenses for astronomical binoculars – almost 200 years ago. During the cooling of the glass, thermal tensions tended to produce fractures, which might be avoided by a proper control of the cooling process. This can be achieved by regulation of the surrounding temperature. However, in order to control the process, it is necessary to understand and to predict the thermal tensions, i.e. the stresses set up by nonhomogeneous thermal contraction. This is complicated, because heat is transported through radiation. Glass is a semitransparent medium – each point in the glass is a new source of radiation. This property is modelled in the radiation equation – but this equation is not easy to solve. In contrast to other case studies in this volume, there is in general nothing flat or thin. The thermal tensions depend heavily on the three-dimensional object as a whole, and the object very often has no symmetries. Therefore, numerical methods are unavoidable, but still pose difficult problems: a straightforward solution of the three-dimensional radiative equation, say by ray tracing, discrete ordinates, or even P1-approximation does not work in real (i.e. real industrial) problems.

Type
Chapter
Information
Mathematical Modeling
Case Studies from Industry
, pp. 181 - 198
Publisher: Cambridge University Press
Print publication year: 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×