parametric modeling with solidworks 2017 pdf

The maximum von Mises stress is 12,200 psi.* Because we have an allowable stress of 20,000 psi, there is an opportunity to remove material to lighten the component. gives the results of the baseline study for the dimensions of Figure 1 above and a 500-lb. VariablesĪ baseline study is required as a starting point.

These are summarized in Table 2 for our example model. Additionally, the constraints must be defined. However, the optimization routine must be given guidance on what the allowable ranges would be for the variables. The power of the parametric optimization method is that the algorithm can modify multiple variables until an optimum can be achieved. The parameters are summarized in Table 1 below. The goal of the optimization is to minimize the volume (and therefore weight) of this component while maintaining stresses below a certain level. It is loaded with 500 lbs., which are evenly distributed along the top and fixed on the right end. For example, minimizing weight on a part would be a common goal.Ĭonsider the simple cantilever section shown in Figure 1.

Goals: This is generally the parameter optimized.

Constraints: These are the limits that are placed on various parameters.

Variables: These are the values that the user wants to modify from the part design.

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.

Parametric modeling with solidworks 2017 pdf