3DCS Variation Analyst CAA V5 Based

Tolerance Analysis fully integrated into Dassault Systemes CATIA V5 CAD Software

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The Most Powerful Tolerance Analysis Software

Manufacturers across the globe use 3DCS software for Tolerance Analysis to validate designs and reduce defects.

3DCS Variation Analyst is used by the world's leading manufacturing OEM's to reduce their costs of quality. By controlling variation and optimizing designs to account for inherent process and part variation, engineers reduce non-conformance, scrap, rework and warranty costs. 

 

The Leading Variation Analysis Solution - What is it?

3DCS Monte Carlo Analysis3DCS Variation Analyst CAA V5 Based (3DCS for V5) is an integrated software solution in CATIA V5 that simulates product assembly and part tolerance 3D stack-ups through Monte Carlo Analysis and High-Low-Mean (Sensitivity) Analysis.

Activating as a workbench in CATIA, 3DCS for V5 simulates part and process variation with Monte Carlo Simulation to give statistical outputs showing the estimated percent of products that will be out-of-spec, the primary contributing tolerances and parts to variation issues and specified statistical measures such cpk and ppk. 

 

Model Assembly Process and Part Tolerances - How does 3DCS work?

Use CATIA FTA - Embedded GD&T3DCS for V5 uses three methods of simulation;

1. Monte Carlo Simulation,

2. High-Low-Mean (Sensitivity analysis) 

3. GeoFactor (RSS) Analysis

These analyses show the source of variation as well as potential build issues in the product.

By accurately modeling the build process, users can determine how their process will affect the assembly in addition to their part tolerance stack-up. This together essentially creates a virtual prototype that can be used to make decisions about design changes and tooling while reducing scrap and rework. 

How does 3DCS Work? Watch the FREE video series on 3DCS

 

Gain New Insight Into Your Design

The Cost of Quality in PLMSimulating products in a digital environment gives engineers the ability to account for variation in key areas, reducing rework, non-conformance and scrap at final assembly early in the design phase when changes are least expensive.

In addition to this, specifications deemed less critical can be relaxed, increasing tolerances and allowing the use of less expensive manufacturing processes. Creating 3-dimensional tolerance stack-ups let engineers know where to focus in their design, and the ability to create what-if studies allow them to determine solutions that include both process and tolerances to keep costs down and quality high. 


The 3DCS technology brought our commitment to product quality and safety by design to an even higher level. The tool not only can quantify our technical decisions but truly helps our IPD teams to numerically and visually discuss spatial dimensional variations and its management early in the design phase.


Daniel C. da Silva, Embraer Tolerance Analysis Team LeaderEmbraer

Validate and Optimize GD&T 

Utilize Embedded GD&T (FT&A)

3DCS for V5 can use FTA and embedded GD&T from your CAD to instantly tolerance your parts. Simulate the build to validate your tolerances, then make adjustments to optimize for cost, quality and control. Push your tolerances back to CAD and update your models. 

Value:

  • Build analysis models faster (embedded GD&T is not required for a model)
  • Push button import of CAD GD&T
  • Validate and optimize your GD&T in 3DCS as a test lab, then push back when ready

 

Determine Design Objectives with Visualization

Reduce the need for prototypes

Create life-like images of your product showing worst case scenarios to determine the visual impact of variation stack-ups. Use these studies to determine maximum and minimum tolerances during design and communicate with engineering. Once engineers have determined the manufacturing tolerances, recreate the studies to see how your actual product will look with worst case tolerance stack-ups. These studies together help you improve the Perceived Quality of your product as well as your build quality. 

Value:

  • Determine the impact of variation on the appearance of your product
  • See what worst case scenarios will look like on final product
  • Improve both build and perceived quality of products

Determine Contributors and Make Changes

Find the sources of your variation and simulate your changes to determine impact

Find the source of variation, honing in on either particular part tolerances, or processes. Many times the source of variation is in the assembly process and the solution does not require the changing of tolerances. This can give engineers the ability to improve quality without having to make costly tolerance adjustments. In addition, tolerance and process changes can be made in the model and simulated to find optimal conditions to get the greatest increase in quality at the lowest cost. 

Value:

  • Find primary source of variation issues from either tolerances or assembly process
  • Make changes and determine the affect of variation
  • Use iterative changes to create the optimal design for maximum quality and minimum cost

Create Reports and Measurement Plans to Collaborate

Streamline the creation and communication of measurement plans and results

Use reports and measurement plans to communicate results across the organization. Detailed engineering reports communicate with other design teams the inputs and outputs of the model so that the results can be repeated and understood. Management Reports communicate the key outputs to managers to support key decision making. Measurement Plans communicate important areas and particular points to be measured at the plant or CMM room to control variation and watch for out-of-spec and non-conformance conditions. 

Value:

  • Quickly communicate detailed inputs and outputs with customers and other teams
  • Share key outputs with managers to support important decision making
  • Create Measurement Plans tied to CAD for the manufacturing plant to use in order to control and monitor variation effectively in production, answering the question, 'Where should we measure?'

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