Mathematical Modeling of Assembly Coordinate frames –each part has a base coordinate frame Relationships between parts are expressed as 4x4 matrix transforms.

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Presentation transcript:

Mathematical Modeling of Assembly Coordinate frames –each part has a base coordinate frame Relationships between parts are expressed as 4x4 matrix transforms

Matrix Math 4x4 matrices relate adjacent frames Matrix contains rotational part and translational part Translation occurs first, so rotation does not change position of new frame

Basic Translation and Rotation

Watch Transform Ordering!

Composite Transforms

Nominal Mating of Parts

Example - Pin & Hole Mating (pin translated)

Example - Pin & Hole Mating (pin rotated)

Example - Pin & Hole Mating (feature on first part)

Example - Pin & Hole Mating (feature on second part)

Example - Pin & Hole Mating (Assembling two parts)

Part Location Variation Varied location of Part B calculated from nominal location of Part A Uses same math as nominal model!

Chaining together parts

Variation Analysis Error types: –Change in process average (mean shift) –Process variation around average (variance)

Precision vs. Accuracy

Desired Distribution LSL = lower specification limit USL = upper specification limit

Error Accumulation Worst case tolerancing: –assume all errors at extremes –errors accumulate linearly w/ # of parts –deterministic, not statistical Statistical tolerancing –assume errors distributed randomly between limits –errors accumulate as sqrt of # of parts if mean is equal to nominal dimension!

Error Accumulation Sums of zero-mean errors accumulate as sqrt(N), because + and - errors cancel Sums of non-zero-mean errors accumulate as N, because there are no cancellations

How do Non-zero-mean errors occur? Example: –operator stops material removal as soon as part enters tolerance zone

Example - Stapler Variations

(small) Error Transform

Using Error Transform

Using Error Transform - Part 2