Optimization of alloy chemistry for maximum stress and time-to-rupture at high temperature
Conference
Yegorov-Egorov, IN, Dulikravich, GS. (2004). Optimization of alloy chemistry for maximum stress and time-to-rupture at high temperature
. 1 594-602. 10.2514/6.2004-4348
Yegorov-Egorov, IN, Dulikravich, GS. (2004). Optimization of alloy chemistry for maximum stress and time-to-rupture at high temperature
. 1 594-602. 10.2514/6.2004-4348
Indirect Optimization based upon Self-Organization (IOSO) algorithm was used in conjunction with experimental evaluations of maximum strength and time-to-rupture at high temperature to maximize these two properties in nickel based steel alloys. This research provides the first realistic demonstration of the entire alloy design optimization procedure and simultaneous experimental verification of this procedure. We started by using 120 experimentally tested nickel based alloys and optimized six alloying elements in order to predict 20 new alloy compositions with potentially better properties. After experimentally testing these 20 new alloys, it was found that 7 of them indeed had superior strength and time-to-rupture at high temperature as compared to the original 120 alloys. The IOSO optimization procedure was repeated a total of four times whereby 20 new alloys were predicted and experimentally tested during each of the four design iteration cycles. The properties of the newly found alloys consistently continued improving from one iteration to the next. This was confirmed by experimentally evaluating these new alloys. This alloy design methodology is applicable to arbitrary alloys. It does not require any mathematical modeling of the physical properties since they are determined experimentally. This assures the reliability of this approach to alloy design and makes it affordable since it requires a relatively small number of new alloys to be manufactured and experimentally tested.
