IOSO

Abstract: This article demonstrates the main capabilities of IOSO (Indirect Optimization based on Self-organization) technology algorithms, tools, and software, which can be used for the optimization of complex systems and objects IOSO algorithms have higher efficiency, provide a wider range of capabilities, and are practically insensitive with respect to the types of objective function and constraints They could be smooth, non-differentiable, and stochastic, with multiple optima, with the portions of the design space where objective function and constraints could not be evaluated at all, with the objective function and constraints dependent on mixed variables, etc The capabilities of IOSO software are demonstrated using examples of solving complex multi-objective (up to 8 simultaneous objectives) problems, which are solved in deterministic and robust design optimization statements The results of this study show the Pareto set probability statement, which decreases technical risks when developing modern objects

Abstract: Modern computer technologies now allow us to conduct rather complex mathematical calculations in a relatively short period of time. Thus, it has become possible to employ optimization methods in the design of various parts of aircraft engines, even when calculations require large computational resources (structural, thermal, and gasdynamics calculations). The designer may have to vary more than a hundred design variables and constraints during the optimization process. Therefore the procedure of preparing the initial data for optimization may take a long time. That is why we developed the optimization software system for designing turbomachines and their parts. This software system includes the IOSO optimization procedure and modules of automatic data preparation and handling. The data is represented in the format that is convenient and understandable for a designer. The optimization procedure is based on the response surface methodology, when response surfaces are constructed for objective functions and constraints and then optimized at each iteration in a current search region. The objective function and constraints are then evaluated at the optimal point using the mathematical model of the system under consideration. As the analysis tools the well-known commercial software package (FINE/Design3D) is used. The paper presents the results of optimizing a three-stage axial compressor. The optimization goal was to improve the compressor efficiency at two flight conditions by optimizing geometry of the 5 compressor rows (62 design parameters).Copyright © 2007 by ASME

Abstract: *+ 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.