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<< Click to Display Table of Contents >> Navigation: Tutorials > 3DCS Advanced Analyzer and Optimizer Tutorial > Benefits |
•Data interaction:
| The impact of small changes in tolerances can be observed without scrolling through measures or rerunning the simulation. |
•Visualize:
| Representation all of the measure-contributor pair relationships in a single table. Color-coding and grouping options help with reading the data. |
•Analyze:
| Determine which tolerances are the most important to the model by observing clusters. |
| Can determine the coefficient per tolerance, per point/feature or with several other options. |
| Hole-pin float values can be directly modified as opposed to being a function of the hole size, pin size, and respective tolerances. |
•Optimize:
| The optimizers provide a quick answer to the question "Is there a set of tolerance values that will let all my measures be in-spec?" |
•CTI calculates a single percent contribution to indicate how each tolerance affects the whole model. Measures can be weighted by their Pp values, Ppk values, or percent out of spec results.
•Combines AAO, Simulation and HLM/GeoFactor data into a single table.
Simulation Based Sensitivity (SBS) SBS analyzes the model by running multiple simulations with the contributors set to different ranges. This allows much more information to be derived from the model.
Two sets of measure results are analyzed by SBS.
•Variance Parameter: expected six-sigma ranges
•Mean Parameter: expected mean results
Three types of values can be displayed in the SBS matrix.
•Amounts are how much a contributor increases or reduces a measure result.
•Percent Contributions are the relative effect a contributor has on a measure result.
•Coefficients are the slope of the line relating the tolerance range and the measure results if the relationship is assumed to be linear.
Two types of contributors are listed in the SBS matrix.
•Direct contributors are the tolerances, GD&T, and floats in the model. The user can edit their ranges in SBS after running the analysis.
•Interactions are the combined effect of two or more Direct Contributors, separate from the effects of the Direct Contributors themselves. An Interaction can cause the measure six-sigma range to increase (an amplifying effect) or decrease (a mitigating effect.) When the range of a direct contributor is changed, the effects of interactions including it are also updated.
•It optimizes tolerances to meet dimensional requirements.
•Increases as many tolerances as possible while decreasing as few as possible.
•Giving you a less expensive optimized tolerance model meeting your dimensional goals (Measurements).
•Using the SO recommended sequence, will manufacture assemblies as close to nominal as possible given the variation from design gaps, part tolerances and the impact of join\clamp sequence.
•The Sequence Optimizer finds the preferred sequence for clamping / joining using a dynamic optimization methodology in far fewer runs than full factorial.