A model to construct and predict flow curve of materials from compression test results with machine learning models using python

HIGHLIGHTS

• who: Tolga Aydın and colleagues from the RandD Center, Norm Cıvata Sanve TicA.Ş., AOSB, İzmir, Turkey have published the research work: A Model to Construct and Predict Flow Curve of Materials from Compression Test Results with Machine Learning Models Using Python, in the Journal: (JOURNAL)
• what: In this study, a model was developed that processes the compression test data and converts them into Ludwik material model coefficients that can be integrated into simulation software. In this study, firstly, the method of obtaining the material flow curves, which will form the inputs of the . . .
  

   

  

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