Tolerance Stack Analysis Using GD&T

Engineering Design Courses
  • Course:Tolerance Stack Analysis Using GD&T
  • Course ID:TOL-GDT Duration:2 days Where: Your Office (7+ Persons)
  • Available as a private, customized course for your group at your offices or ours and in some cases as a WebLive(TM) class.

  • Download Course Description (PDF)

Course Outline

  • Introduction
    • What are tolerance stacks?
    • Fundamental rules and assumptions
    • Review of geometric dimensioning and tolerancing
  • Virtual Condition
    • Definitions: local size vs. envelope; feature of size
    • Material conditions: MMC, LMC, RFS
    • Virtual condition for internal and external features
    • Practice exercises
    • Resultant condition
  • Stacks with Coordinate Dimensions
    • Basic steps in calculating a stack
    • Review of the stack form
    • Examples of single-part stacks
    • Practice exercises
  • Stacks with Runout and Concentricity
    • Review of runout and concentricity
    • Transferring tolerances to the stack form
    • Examples and exercises
  • Position Tolerances in Stacks
    • Review of position RFS
    • Applying position in the stack form
    • The “bonus” tolerance concept
    • Factoring bonus tolerance into the stack form
    • Examples and exercises
    • The “shift” tolerance concept
    • Factoring shift tolerance into the stack form
    • Examples and exercises
  • Stacks with Profile
    • Review of profile of a line and profile of a surface
    • Bilateral and unilateral tolerancing
    • Examples and exercises
  • Stacks with Form Controls
    • Review of flatness, straightness, circularity, cylindricity
    • Rule #1: Size controls form
    • “To” or “thru” rule
    • “Adjacent” or “offset” rule
    • Filling in the stack form
    • Examples and exercises
  • Stacks with Orientation Controls
    • Review of parallelism, perpendicularity, angularity
    • Filling in the stack form
    • Examples and exercises
  • Statistical Methods
    • When to justify statistical methods
    • Brief statistics review
    • The “root sum square” (RSS) formula
    • Modified RSS formulas (Bender and Gilson formulas)
    • Monte Carlo simulation
  • Wrap-up and Review of Drawings
    • Review sample drawings
    • Evaluations