부산대학교 도서관

Laser surface alloying (LSA) is one of the strategies to make a highentropy alloy (HEA). HEAs are multi-component solid solutions balanced out through high mixing entropy. These alloys have shown superior properties compared to current materials utilized in combustion engines, gas turbine segments, and clinical inserts. An extensive literature review has shown that the aspect ratio and bead angle are critical geometrical parameters of the alloyed bead. The aspect ratio characterizes the number of required passes to coat a surface, whereas the bead angle is a critical parameter to assess the bead porosity. In this work, AlxCu0.5FeNiTi Highentropy alloy is processed and a comparative study of best fit models based on an artificial neural network (ANN) and response surface methodology (RSM) has been studied. The critical parameter for the evaluation is the associated mean error in both models. The results of this study suggest that the RSM based models have a lower average error than the ANN-based model. Such behaviour may be due to the high converging power of RSM with a low number of sample data. [ABSTRACT FROM AUTHOR]