سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / International Conference on Artificial Intelligence; City, Industry and Health

A new method for calculating maximum solubility in solid state with AI: the case study of the Al-Zr system

نویسندگان :

Saeid Jabbarzare¹

1- Institute of Manufacturing Engineering and Industrial Technologies, Na.C., Islamic Azad University, Najafabad, Iran

کلمات کلیدی :

Metallurgy،artificial intelligence،zirconium،x-ray diffraction

چکیده :

In the 1920s, Hume-Rothery helped to make the art of metallurgy into a science by the discovery of rules for the prediction of solubility in alloys. Their simplicity and generality made them become one of the most important rules in materials science. In the few decades after Hume-Rothery’s discovery, many researchers have tried to make “corrections” to H-R rules aiming to make them work better in general alloy systems.In the present study, different percentages of zirconium were added to aluminum and X-ray diffraction was obtained from the resulting samples at different milling times. According to the changes in theta angle in X-ray diffraction, the lattice parameter was calculated at different percentages of zirconium and different milling hours. Artificial intelligence can be used to derive a mathematical relationship that represents the changes in the lattice parameter in terms of zirconium percentage and also milling time. The resulting relationship was optimized using the bee colony algorithm, and percentages of zirconium and milling times at which the lattice parameter was maximized were calculated. Finally, these percentages and times were recorded and the best line equation was calculated from them. The final line equation, as a unique relationship, can calculate the time required to achieve the maximum lattice parameter at any percentage of zirconium.