Browse Publications Technical Papers 2019-26-0314
2019-01-19

Method for Prediction of Coffin Manson Parameters from Monotonic Tensile Property for Aluminium 6061 Alloy to Predict Fatigue Life 2019-26-0314

P K Ajeet Babu1, VNSU Viswanath Ammu3, Shwetabh Suman2, M R Saraf1 1- The Automotive Research Association of India, Pune 2- Vellore Institute of Technology, Vellore 3- Jawaharlal Nehru Aluminium Research Design and Development Centre Light weighting is very important in automobiles; it helps in less fuel consumption and to achieve good performance. Aluminium is a candidate material for Lightweighting however the components are dynamically loaded. In this paper, study is carried out to understand the fatigue performance of aluminium 6XXX alloy at early stage of design without carrying out comprehensive fatigue testing. Coffin Manson Parameters are used to predict fatigue life and various methods developed by researchers to calculate these parameters based on monotonic tensile data is presented. This work focusses on determining the gaps of existing models for aluminium alloys. Two fatigue models i.e. Modified Mitchell Method and Mslope_Al are selected and optimized based on the fatigue properties of 6xxx series. Predicted fatigue properties for these materials are further compared with experimental data. Scatter band is used to show the correlation between predicted and actual value of fatigue properties. In reversals to failure, 90 % of the data falls within five times scatter band and in strain amplitudes 90 % of data falls within two times scatter band. Strain amplitude prediction shows very good correlation compared to fatigue life.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Attention: This item is not yet published. Pre-Order to be notified, via email, when it becomes available.
Members save up to 43% off list price.
Login to see discount.
Special Offer: With TechSelect, you decide what SAE Technical Papers you need, when you need them, and how much you want to pay.
X