Journal of Composite Materials

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Sign In to gain access to subscriptions and/or personal tools.
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kwon, J.-D.
Right arrow Articles by Ishii, H.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Journal of Composite Materials, Vol. 32, No. 10, 910-928 (1998)
DOI: 10.1177/002199839803201001

The Fatigue Life Prediction of SiC Whisker Reinforced Al6061 Alloy Composite by Monte-Carlo Simulation

Jae-Do Kwon

Department of Mechanical Engineering, Yeungnam University, Gyongsan 712-749, Republic of Korea

Jeong-Ju Ahn

Department of Mechanical Engineering, Yeungnam University, Gyongsan 712-749, Republic of Korea

Sang-Tae Kim

Department of Mechanical Engineering, Yeungnam University, Gyongsan 712-749, Republic of Korea

Hitoshi Ishii

Department of Mechanical Engineering, Shizuoka University, Shizuoka, Japan

The Monte-Carlo simulation program is developed to predict the fatigue life of SiCw/Al composite. In order to verify the accuracy of the developed program, the predicted fatigue life of 25% SiCw/Al is compared with the data obtained from the fatigue crack growth tests. The result shows that the average value of difference between the predicted fatigue life and the experimental data is about 15%. So, the fatigue life could predict successfully by means of the Monte-Carlo simulation program. The fatigue crack growth lives of 5%, 10%, 15%, 20%, 30% and 35% SiCw/Al composites are predicted using the Monte-Carlo simulation.

Key Words: metal matrix composite • fatigue crack growth test • statistical analysis • fatigue crack growth path morphology • Monte-Carlo simulation • fatigue life prediction


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
Journal of Composite MaterialsHome page
J. J. Ahn and S. Ochiai
Fatigue Crack Propagation Behavior of Thermally Degraded SiCp/Al Composites
Journal of Composite Materials, January 1, 2004; 38(1): 81 - 90.
[Abstract] [PDF]