Bingol, SedatMisiolek, Wojciech2024-04-242024-04-2420150039-2480https://doi.org/10.5545/sv-jme.2015.2785https://hdl.handle.net/11468/20218Compression tests were performed to obtain flow stress curves of a newly developed magnesium ZE20 alloy for automobile applications. The experiments were performed in a temperature range from 200 degrees C to 425 degrees C and the strain rates from 0.01 to 15 s-1 to examine the material responses at various processing conditions. Artificial neural network (ANN) and gene expressing programming (GEP) were used for the estimation of the true stress curves obtained from the experimental tests. Recently, a few studies were performed to estimate the true stress of different magnesium alloys by using ANN modelling method. However, this method has not yet been applied for the ZE20 alloy; therefore, it was the subject in this study. Furthermore, this study is the first attempt of using a GEP model to predict the true stress of a magnesium alloy. Both developed ANN and GEP models successfully predicted the true stress of ZE20 alloy.eninfo:eu-repo/semantics/openAccessMagnesiumZe20CompressionTrue StressGepAnnPredictionArticle6110610617WOS:0003712288000072-s2.0-8494402835410.5545/sv-jme.2015.2785Q2Q4