Title: Constant amplitude fatigue crack growth life prediction of 8090 Al-alloy by ANFIS 

Author(s): J. R. Mohanty

Department of Mechanical Engineering

Veer Surendra Sai University of Technology, Burla, Sambalpur 768018, India

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The aim of the current work is to predict fatigue crack growth life of 8090 T651 Al-alloy under the influence of load ratio by applying adaptive neuro-fuzzy inference system (ANFIS) technique. The model has been trained by minimization of root mean square error (RMSE) principle. It has been observed that the proposed model predicts well the fatigue crack growth life of the alloy with 0.801% deviation in comparison to experimental results

License: This work is licensed under a Creative Commons Attribution 4.0 International License.


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