mathematical modeling of assembly

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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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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 - PowerPoint PPT Presentation

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Page 1: Mathematical Modeling of Assembly

Mathematical Modeling of Assembly

• Coordinate frames– each part has a

base coordinate frame

• Relationships between parts are expressed as 4x4 matrix transforms

Page 2: Mathematical Modeling of Assembly

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

Page 3: Mathematical Modeling of Assembly

Basic Translation and Rotation

Page 4: Mathematical Modeling of Assembly

Watch Transform Ordering!

Page 5: Mathematical Modeling of Assembly

Composite Transforms

Page 6: Mathematical Modeling of Assembly

Nominal Mating of Parts

Page 7: Mathematical Modeling of Assembly

Example - Pin & Hole Mating(pin translated)

Page 8: Mathematical Modeling of Assembly

Example - Pin & Hole Mating(pin rotated)

Page 9: Mathematical Modeling of Assembly

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

Page 10: Mathematical Modeling of Assembly

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

Page 11: Mathematical Modeling of Assembly

Example - Pin & Hole Mating(Assembling two parts)

Page 12: Mathematical Modeling of Assembly

Part Location Variation

• Varied location of Part B calculated from nominal location of Part A

• Uses same math as nominal model!

Page 13: Mathematical Modeling of Assembly

Chaining together parts

Page 14: Mathematical Modeling of Assembly

Variation Analysis

• Error types:– Change in process average (mean shift)– Process variation around average

(variance)

Page 15: Mathematical Modeling of Assembly

Precision vs. Accuracy

Page 16: Mathematical Modeling of Assembly

Desired Distribution

• LSL = lower specification limit• USL = upper specification limit

Page 17: Mathematical Modeling of Assembly

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!

Page 18: Mathematical Modeling of Assembly

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

Page 19: Mathematical Modeling of Assembly

How do Non-zero-mean errors occur?

• Example:– operator stops material removal as

soon as part enters tolerance zone

Page 20: Mathematical Modeling of Assembly

Example - Stapler Variations

Page 21: Mathematical Modeling of Assembly

(small) Error Transform

Page 22: Mathematical Modeling of Assembly

Using Error Transform

Page 23: Mathematical Modeling of Assembly

Using Error Transform

Page 24: Mathematical Modeling of Assembly

Using Error Transform - Part 2

Page 25: Mathematical Modeling of Assembly

Using Error Transform - Part 2