ECI Digital Archives

Title

Numerical and theoretical models to predict fatigue life in aggressive environments from experimental data

Authors

Sergio Baragetti, Department of Management, Information and Production Engineering, and GITT- Centre on Innovation Management and Technology Transfer, University of BergamoFollow
Francesco Villa, Department of Management, Information and Production Engineering, University of Bergamo

Conference Dates

May 29-June 3, 2016

Abstract

Corrosion fatigue produce sensible effects in the fracture mechanics of structural materials. Aggressive environments in presence of dynamic fatigue load are indeed responsible of multiple effects, regarding crack nucleation and propagation rates. Considering Ti-6Al-4V in air, inert paraffin oil and 3.5 wt.% NaCl mixture, environmental effects are sensible in terms of acceleration of Fatigue Crack Growth Rate – i.e. da/dN vs. stress intensity factor ΔK. Several literature studies dealt with the topic in the past years. However, research has been focused mainly on the FCGR description, and the prediction of number of cycles to failure in aggressive environments is not addressed. In the presented poster, a methodology to obtain a numeric model which reconstruct da/dN vs ΔK from experimental results, including crack length and applied stress, is presented and compared against literature data. Results are related to R = 0.1 axial test involving smooth and notched flat dogbone specimens, with varying notch radius. The proposed model is used to reconstruct the number of cycles to failure of the tested specimens, resulting in a satisfactory correlation with experimental data. Comparison with other literature models highlights the necessity to develop a proper numerical model with each test case.

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Recommended Citation

Sergio Baragetti and Francesco Villa, "Numerical and theoretical models to predict fatigue life in aggressive environments from experimental data" in "International Workshop on the Environmental Damage in Structural Materials Under Static Load/Cyclic Loads at Ambient Temperatures", A.K. Vasudevan, Office of Naval Research (retired), USA Ronald Latanision, Exponent, Inc., USA Henry Holroyd, Luxfer, Inc. (retired) Neville Moody, Sandia National Laboratories, USA Eds, ECI Symposium Series, (2016). https://dc.engconfintl.org/edsm/32