Performance Predictions and, Ultimately, Into Optimization Software that Can Help Determine Optimal Topology CONSTRUCTION for The Best Performance At the Lowest Cost.
Material Properties for Mold-Filling Simulation
SIMULED MIATIAL HAVE A Direct Effect on Final Performance As Predict by Fea Simulations. Hence, They Are A Crucial Element of the Cae Workflow.
Properties can be easy tested for a related to gain maximum account in mf simulating results.
Bettented as well, along with the Other Properties. As Such, Obtaining The Desired MateriRial Properties is the First Important Step in the Proposed Part Design Workflow.
Mold-filling simulation
. As such, during the early design stage it is ideal to perform a design of experiments study to determine the sensitivity of the process parameters with respect to the part quality. Such a process optimization exercise can significantly improve part quality and can guide both part designers and tooling engineers. Injection molding process simulation that is set up with a careful choice of the aforementioned parameters usually yields accurate results. The most common results include shear rates, melt front temperatures, gate freeze and sink mark predictions, weld lines, fiber orientations, cooling rates, volumetric shrinkage, warpage and residual stresses. These results should be used to optimize the process to achieve desired part quality. Also, as we will discuss in the following sections, these results are used to run structural analysis on “as-molded” parts.
Effective Treatment of Molding Defects
A brief review of the timent of common molding defunds is presented here, moving on to the third step in the design workflow —Structural Analysis.
Stringths. MF SIMULATION is Again Very Helpful in Predicting Shear Rates and Avoiding Harmful Shear Rates.
Modify to the Achieve Uniform Thickness, Mitigating the Types of Defects.
Predictions of Part Performance During Structural Analysis.
MF SIMULATION is Helpful in predicting many more such def alsocts.
Such, it is very important to account for process residuals in the structural analysis.
The part. The the tensors are then mapped to the fea mesh to perform the structural analysis.
Performance of the part.
Relevant and partly, is matchedaind. This integrated approach leads to an improved design in a shing amount of time with having to build propotypes.
Design Optimization
Then, then
Optimization Can Lead to a Moldable Design with Minimal ITERATIVE EFFORT. Figure 3 Shows An Example of a Typical Topology Optimization Applied to a Large ThermopLastic PART.
Integrate Such Optionimization in Design Workflow to Minimize the Product Design Cycle Time.
Conclusion
And Faster Approach to High-Performance Design.