My Account Log in

1 option

Integrating the Results from Process Simulation into Fatigue Life Prediction Magna Powertrain - Engineering Center, Steyr GmbH and Company KG, Austria

SAE Technical Papers (1906-current) Available online

View online
Format:
Conference/Event
Author/Creator:
Dannbauer, Helmut, author.
Conference Name:
SIAT 2007 (2007-01-17 : Pune, India)
Language:
English
Physical Description:
1 online resource
Place of Publication:
Pune, MH The Automotive Research Association of India 2007
Summary:
In the last decades fatigue life prediction has reached a high level in respect to practical handling and accuracy. Deviations between numerical results and test results in terms of cycles till crack initiation are resulting mostly from insecure or lacking input data. On the one hand, the accuracy of Finite Element Analyses results gets better and better because of greatly increasing computer power and mesh density. Whereas on the other hand, the situation is much more critical regarding load data and especially regarding local material properties of the components (compared to specimen data).But in the last few years also the possibilities of process simulation have improved in such, that at least a few local material properties or quality indicators can be predicted with sufficient reliability. While for instance the detailed simulation of the welding process is still difficult during the common development process, sheet-metal forming and casting simulations are already widely applied to optimize properties of components in an early stage of development.Therefore, the idea to integrate process simulation into fatigue analysis is reasonable, because both simulation technologies represent a current state of the art. This integration has recently been realised both for forming simulation of steel sheet-metal as well as sand and die casting of aluminum and magnesium.The distribution of the effective plastic strain is an output of forming simulation which can be used as an indicator for local material properties. The secondary dendrite arm spacing (SDAS), whose distribution is an output from casting simulation, correlates significantly with porosity and endurance limit. For die casting, a pore free surface layer can be accounted for.All those parameters can be used as an input for fatigue analysis and practical examples demonstrate the influence on the predicted results
Notes:
Vendor supplied data
Publisher Number:
2007-26-071
Access Restriction:
Restricted for use by site license

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account