The following topics provide the background information for design optimization.
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The design process is iterative in that a design is continuously modified until it meets acceptance criteria defined by safety, cost, performance, convenience, and shape. An initial design can go through many product development cycles before mass production. A product development cycle includes:
You specify values for each variable, either as discrete values or as a range. You use sensors as constraints and as goals. The software runs iterations of the values and reports the optimum combination of values to meet your specified goal.
After setting up the design study, you select the Optimization check box and click Run on the Design Study tab. The number of iterations the program depends on the quality of the study.
The dimensions resulting from the Optimization Design Study using continuous variables might not be practical for manufacturing. You might need to round off the dimensions and check the final model. As an alternative, you can use discrete values for the variables that need to comply with manufacturing standards.
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