![]() ![]() Parametric optimization involves the following concepts: The advantage of incorporating these tools into an automated algorithm is that the software can “keep an eye on” other variables that may be impacted by changing the variable of interest. Essentially, these routines automate the common trial-and-error approach of changing design variables and determining the impact of these changes. Many current FEA software tools include the ability to perform optimization. Optimization tools enable modifying multiple variables for iterative design changes while maintaining certain limits on other design parameters. For example, a part modified to minimize weight by removing portions of the material may result in unacceptable changes in the part’s natural frequency. The problem with this manual approach is that other design parameters, outside of those the user is setting, can inadvertently be impacted. The integration of FEA into CAD software platforms allows the design and analysis to be performed concurrently.ĭuring the design phase, an engineer may evaluate different design options using FEA and iterate-using trial and error-to refine the design for one or two key parameters. ![]() The widespread adoption of tools such as finite element analysis (FEA) has greatly reduced product development cycles.
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