See your data like never before! With AAO, users of 3DCS can sort, change, test and analyze their CAD models faster than ever before. Using 3D simulation to create realistic virtual prototypes, 3DCS is an excellent tool for dimensional analysis and tolerance analysis. By reducing variation in the design phase and testing assembly processes, many expensive issues in the product life cycle (PLM) can be removed before building any physical parts. AAO speeds up the analysis process, giving users a birds eye view of their model, and allowing them to optimize for many different attributes. PPK, build capability, cost? All of these can be optimized for quickly. Find out more at http://www.3dcs.com/3dcs-add-on-advanced-analyzer-and-optimizer.html

1. 3DCS Advanced Analyzer and
Optimizer
Presenter: Brenda Quinlan, Senior Dimensional Analyst

2. The Simulation results predict what problems an assembly will have.
The Sensitivity and GeoFactor results predict why those problems occur.
AAO recommends solution alternatives to those problems

3. What feature is your analysis most sensitive to?
Which tolerances contribute the most?
How can I reduce cost?
How do I know I’m getting the
best value vs quality?

4. Where Do You Start?

5. Advanced Analyzer Matrix
• Based on GeoFactor Analysis
• Six Methods of Combining Contributors

6. Quantifies the effect of each tolerance (or hole-pin float)
on the measures simultaneously and globally
• Pp*: weighted by spec limits, no mean shift
• Ppk*: weighted by spec limits and mean shift
• Out%: weighted by out-of-spec results
• Ave%: average % contribution per measurement
*Process Performance or
Process Performance Index

7. How can you reduce cost?
How to know you’re getting the
best quality vs cost?

8. Achieve desired quality at minimum cost
Goal Value (spec
limits)
Max, Min, Lock, Cost
Optimized Measure
Range
Opt Tolerance Range
Total Current Cost and
Total Optimized
(Minimum) Cost
Input
per Measure
per Tolerance
Optimizer
Output
*Assumption: larger tolerance = less cost

9. (6tk)2
Costk
(6tkmin)2 (6tkmax)2
Costkmax
Costkmin
cck = (Costkmax - Costkmin) /
[(6tkmax)2 - (6tkmin)2]

11. Achieve best possible quality at a defined cost
Goal Value, Weight
Max, Min, Lock, Cost
Total Available
Budget
Opt Meas
Opt Tol
Total Current Cost, Total
Optimized (Minimum)
Cost, Optimized Quality
Value
Input
per Measure
per Tolerance
Optimizer
Output
*Assumption: Weight and Cost are relative values

13. Advanced Analyzer Matrix
• The GeoFactor Table is accessible from the matrix

14. Ranks affect of Tolerance Offsets