Browse Publications Technical Papers 2012-01-0949

Dimensional Engineering and Tolerance Analysis: Do It Right the First Time 2012-01-0949

Users of a well-thought-out dimensional engineering (DE) process and the latest simulation-based tolerance analysis tools can greatly reduce the need for physical prototypes through virtual analysis.
This presentation will highlight how tolerance analysis tools used as part of a DE process enable users to complete the development and launch of new and enhanced products in far less time than the competition. Don Jasurda, an experienced industry speaker, will describe how simulation-based tools used in a “closed-loop” DE process enable users to identify potential engineering issues in the virtual world instead of using physical prototypes.
He will highlight real-life case study examples where automotive OEMs and suppliers have been able to use such tools to:
  • Quickly predict and respond to the affects of variation and its impact on product quality.
  • Identify and fix engineering problems in the earliest phases of product development when the costs of changes are low, minimizing engineering and tooling changes needed later in the program stages when the financial impact is dramatically higher.
  • Address the three key “fit, finish and function” questions that drive the perceived quality of their products:
    • Do things fit together as intended?
    • Does the product look like it supposed to look?
    • Does the product function as intended?
  • Link cost factors with tolerance adjustments, enabling users to determine the optimal trade-offs between cost and quality, precisely meeting their quality requirements while avoiding unnecessarily tight tolerances that can prevent them from meeting their cost goals.
Those companies that make the best use of the DE process and tolerance analysis tools are able to completely understand dimensional fit characteristics and quality status before commencing the build process. This has resulted in shorter launch cycles, improved process capabilities, reduced scrap and less production downtime.


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