Application of Artificial Neural Network (ANN) to Hot Extrusion of AZ61 Magnesium Alloy Structural Parts

作者：Hsiang Su Hai^*; Lin Yi Wei; Lee Tsang Cheng

来源：Journal of the Chinese Society of Mechanical Engineers, 2010, 31(1): 67-73.

• Magnesium alloy structural parts
• ANN
• hot extrusion
• mechanical properties

Many process parameters affect the mechanical properties of products of the extrusion of magnesium alloy Among them.. the heating temperature of billet and the extrusion speed have the greatest effect. Hence, in this study, the artificial neural network (ANN) method is applied to analyze the tensile strength Of structural parts of the AZ61 magnesium alloy formed by hot extrusion. A few experimental data oil the structural parts Of hot-extruded magnesium alloy and acquired tensile Strength data are added to the ANN database, established by our laboratory for learning. and the change in the tensile strength Of the structural Parts Upon heating of the temperature of file billet to 300 degrees C similar to 340 degrees C with extrusion speeds of I mm/s similar to 3 mm/s is analyzed The study also proves the accuracy of the experimental ANN analytical results. Finally, Zi sectional hardness test is performed oil the product to Understand file hardness distribution of the extruded product. The mechanical properties of AZ61 magnesium alloy are compared with those of AZ31 magnesium alloy and A6061 aluminum alloy 10 Understand the difference among these three materials.

• 出版日期2010-2