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 September 16, 2000, 02:38 Re: Adaptive optimization of geometry #2 John C. Chien Guest   Posts: n/a (1). It is easier to use a real world example to show what you are trying to solve. It is kind of hard to know exactly what you are trying to achieve. (2). I think you have several configurations to solve, and from the solution, you want to find the one which will satisfy some predetermined requirements. (3). The straight forward way to do is to identify the parameters first. These can be geometric parameters, or flow parameters (inlet conditions, or overall conditions). With the parameters defined, you can set the range and pick some numbers or conditions. For example, three lengths, three diameters, three pressure ratios, three inlet velocities or mass flow rates,etc.(4). Then you have a table or matrix of cases to solve. You can solve it case by case, independently. Or, you can make use of the previous case solution as the initial flow field guess to speed up the solution process, if your problem allows such approach. (5). From a set of say 16 cases, you can sort out the optimum case. For simple problem, three cases may be enough. But I have no idea of what you are trying to solve. (for a combustor, I guess, you need 16 cases instead of three) (6). Such optimization can easily take one several months to finish. (7). If you are constrained by time, then there is another way to do. That is you can start with one case, and modify the geometry based on the computed results, in one of the parameter. With this step-by-step improvement, you can stop at any time when the deadline is reached and still have an improved configuration. (8). I have used both approaches in combustor design and turbine components design. I guess, in arriving at the optimum configuration, both the degree of difficulty and the experience of the investigator must be included in the equation. (9). It is possible to write a custom made code to do these things, but in reality, it depends on whether you have the time to do it or not. (most people don't like to spend money to improve the process, they simply want the results done ASAP)

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