Browsing by Subject "Friction Stir Processing, Al7075, Multi-objective, Genetic Algorithm, Optimization, Artificial Neural Networks"

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Trade-off among Mechanical Properties and Energy Consumption in Multi-pass Friction Stir Processing of Al 7075-T651 Alloy Employing Hybrid Approach of Artificial Neural Network and Genetic Algorithm

Bazaz, Shahin Hassanzadeh (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2014-07)

ABSTRACT: Friction Stir Processing (FSP) is a solid state and thermomechanical processing technique that modify and improve the microstructural and mechanical properties of the material to achieve better performance in ...

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EMU I-REP