A repeatability study of artificial neural network predictions in flow stress model development for a magnesium alloy

A repeatability study of artificial neural network predictions in flow stress model development for a magnesium alloy Hubert Siewiór, Łukasz Madej AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland. DOI: https://doi.org/10.7494/cmms.2021.4.0769 Abstract: This work is devoted to an evaluation of the capabilities of artificial neural networks (ANN) in terms of … Read more

Finite Element Modelling of Titanium Aluminides

Finite Element Modelling of Titanium Aluminides Irina Sizova, Alexander Sviridov, Martin Günther, Markus Bambach Chair of Mechanical Design and Manufacturing, Brandenburg University of Technology Cottbus – Senftenberg, Konrad – Wachsmann – Allee 17, Cottbus D-03046, Germany. DOI: https://doi.org/10.7494/cmms.2017.1.0575 Abstract: Hot forging is an important process for shaping and property control of lightweight titanium aluminide parts. Dynamic recrystallization and phase transformations play an … Read more

Flow stress numerical modeling for large strain deformation in magnesium alloy Az31

Flow stress numerical modeling for large strain deformation in magnesium alloy Az31 Luigi De Pari Jr1, Wojciech Z. Misiolek1, Joy H. Forsmark2, Alan A. Luo3 1Institute for Metal Forming, Lehigh University, Bethlehem, PA, USA. 2Ford Motor Company, Research and Innovation Center, Dearborn, MI, USA. 3General Motors Research and Development Center, Warren, MI, USA. DOI: https://doi.org/10.7494/cmms.2010.2.0280 … Read more