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2024年12月28日发(作者:springboot数据库增删改查)
Tolerance Analysis
Pat Hammett
Geometric Dimensioning
and Tolerancing (GD&T)
Tolerance Analysis Methods
1
Example: Joining Parts
n
Suppose you want to join the following two parts.
n
They need to be properly aligned anddimensionally
acceptable to insure a good assembly.
Height
weld
Assembly
OK
Poor
Excess
Align
Deviation
weld
weld
NOK
NOK
2
TQM -University of Michigan
1
Tolerance Analysis
Pat Hammett
What is GD&T?
n
Symbolized notation system to communicate
tolerances through the use ofdatums(references).
n
GD&T is used whenever the location of a part is as
critical or more critical than its size. It insures that
two parts can mate or join properly.
n
Thus, GD&T communicates 2 key issues:
n
Datum Reference System (how part is held).
n
Tolerances for Part Characteristics.
3
Datums
n
Datums define the reference system for a part
to measure or assemble it.
n
reference systems may be absolute (XYZ) or relative (XY).
n
Use pins ~ part holes or slots & clamps ~ part surfaces
Hole:
(4-way locator)
Slot: B2
(2-way locator)
4
TQM -University of Michigan
2
Tolerance Analysis
Pat Hammett
Symbols and Characteristics
Type of ToleranceCharacteristicSymbol
Individual FeatureFlatness
“Diameter
Individual or
Related Features
Profile
Related FeaturesPosition
“Parallelism
5
Dimension
(2mm total tolerance band relative to datums)
Geometric Tolerance
Square Tolerance
Allows deviation of
for T @45 = +/-1
1mm in any direction
t
X
= 0.7;t
Y
= 0.7
TQM -University of Michigan
3
Tolerance Analysis
Pat Hammett
Interchangeability & Tolerances
n
Interchangeability --
or more components, manufacturers may
given the assembly of two
randomly select any sample for each component
and produce an acceptable assembly.
n
To insure interchangeability, manufacturers
assign tolerances to each component.
n
With interchangeability, a part dimension,
may deviate from its nominal specification,
d,
by some tolerance,
acceptable assembly.
t, and still produce an
N,
7
Types of Tolerances
n
Bi-lateral tolerance: Nominal +/-1mm
n
Most common in manufacturing
n
Unilateral tolerance: Nominal + 1 mm
n
Example: material thickness specification are often
one-sided because the goal is to use the least
amount of material (lower cost).
8
TQM -University of Michigan
4
Tolerance Analysis
Pat Hammett
Tolerance Analysis Approaches
n
Tolerance Allocation -(top-down)
n
assign tolerances of final assembly based on customer needs
n
work backward from assembly to components
n
Tolerance Synthesis -(bottom-up)
n
assign tolerances of components based on process capability.
n
work forward from components to assembly
n
Hybrid Systems (most common approach)
n
Assign initial tolerances from bottom-up --
tolerances are too large, -
tolerances are capable of meeting final assembly tolerances
work top-down until component
if final assembly
9
Tolerance Analysis Methods
Linear Stack-Up Analysis:
Case Stacking
tical Stacking -Root Mean Square Method
Non-Linear Stack-Up Analysis
tion
In this class, we will focus on linear stack-up
analysis.
10
TQM -University of Michigan
5
Tolerance Analysis
Pat Hammett
1. Worst Case Stacking
Join A & B
Part APart B
ASM AB = overall length
Worst Case Stacking --
extreme values for A & B.
assumes assembly AB must join
N
N
AB
ASM
=
∑
Nominal
i
+
∑
t
i
i
=
1
i=
1
Specification for Part A and B: 20 +/-0.5mm
Bottom-Up: if t
A
=t
B
= 0.5, then
t
AB
=t
A
+ t
B
= 0.5 + 0.5 = 1 >> t
AB
+/-1mm
11
Worst Case –Top Down Example
Join A & B
Part APart B
ASM AB = overall length
Worst Case Stacking --
extreme values for A & B.
assumes assembly AB must join
NN
AB
ASM
=
∑
Nominal
i
+
1
∑
t
i
i=i=1
Specification for AB: 40 +/-1 mm
Top-Down: if t
t
AB
= 1 then
AB
/ 2 = 1/2 >> t
A
=t
B
= +/-0.5 mm
12
TQM -University of Michigan
6
Tolerance Analysis
Pat Hammett
Statistical Tolerance Analysis
n
If two parts follow a probabilistic distribution,
then worst case stacking may be inappropriate.
n
For example, if the dimensions of part A and B
both follow a normal distribution, then the joint
probability of selecting the extremes is quite
small.
n
So, rather than using worst case, statistical
tolerance analysis is used.
13
2. Statistical Tolerance Analysis
Join A & B
Part APart B
ASM AB = overall length
If assume A & B follow probabilistic distributions such that
t
AB
=f (variation of A & B).
X=
∑
N
Nominal
N
=1
i
±
i
∑
t
2
i=1
i
Bottom-up
Tolerancing
t
22
AB
=t
A
+t
B
So ift
A
=t
B
= +/-0.7
t
2
AB
= .7
2
+.7 = 1
14
TQM -University of Michigan
7
Tolerance Analysis
Pat Hammett
Additive Theorem of Variance
Join A & B
Part APart B
ASM AB = overall length
n
Statistical tolerance: based on additive theorem of σ
2
.
Linear Stack-Up:
X
ASM
=
X
A
+
X
B
Mean Stack-Up:
X
ASM
= X
A
+ X
B
Variance Stack-Up:
σ
2
ASM
=σ
22
A
+σ
B
15
Example: Statistical Stacking
Join A & B
Part APart B
ASM AB = overall length
If Part A ~N(21, 0.20
2
) and Part B ~N(19, 0.15
2
)
What is the predicted assembly mean?
What is the predicted assembly sigma?
What are necessary tolerances for Part A and B to achieve 6σ?
(Hint: Suppose you need to achieve a Cp = 2.0.)
16
TQM -University of Michigan
8
Tolerance Analysis
Pat Hammett
Tolerances and Six Sigma
Join A & B
Part APart B
ASM AB = overall length
n
Suppose specification for ASM AB is 40 +/-1 mm
n
What sigma must be achieved for each component to
insure the assembly achieves a Cp = 2.0, Cpk> 1.5?
17
Worst Case Vs. Statistical
n
Suppose ASM tolerance +/1 mm
n
Worst Case Top Down: t
A
= t
B
= +/-0.5 mm
n
Statistical Top-Down: t
A
=t
B
= +/-0.7 mm
n
For the same assembly tolerance, statistical
statistical allows greater variation in the
components.
18
TQM -University of Michigan
9
Tolerance Analysis
Pat Hammett
3. Tolerance Simulation Models
n
The prior statistical stack-up analysis is based on root-
mean-squared method (additive variance theorem).
n
Alternatively, we could write a simulation model and
randomly generate combinations of components from
their distributions (e.g., normal, uniform, etc).
n
Then, compute the expected variance of the assembly.
Typically, you would then assign tolerances of say +/-
4σ
assy
or 6σ
assy
19
Bender Correction -Statistical
n
if more than 2 components are assembled
with statistical, we sometimes use correction
factors because components may become
unnecessarily wide.
n
Bender Factor, B = 1.5
t
assy
=B
∑
t
2
i
= 1.5
∑
t
2
i
20
TQM -University of Michigan
10
Tolerance Analysis
Pat Hammett
GilsonCorrection –Worst Case
n
If using worst case stacking, the Gilson
correction factor allows loosening of
component tolerances.
t
N
assy
=K
∑
t
K=
1.6
i=1
i
N
N2345
K1*0.920.800.72
if N=2; K (Gilson = 1.0)
21
Tolerance Analysis Examples
A
BC
D
overall length: ABCD = tolerance??
n
Bottom-Up Tolerance Stack-Up
n
If each block can be held to 20 +/-
expected tolerance for the assembly?
0.5 mm, what is the
n
Worst Case -Linear Stack
n
No Correction:
n
t
ABC
= +/-(.5+.5+.5+.5) = +/-2.0 mm
n
With Correction:
n
t
ABC
= +/-K(4*0.5) = .80(2.0) = +/-1.6 mm
22
TQM -University of Michigan
11
Tolerance Analysis
Pat Hammett
Non-Traditional Methods
n
Both worst case and statistical tolerance models
assume rigid parts and additive theorem of variance.
(often resulting in unnecessarily tight tolerances for
components within assembly)
n
Tolerance Adjustments:
n
Additional Factors: some models include assembly processing
variation in addition to the variation of joining components.
n
Weighted Tolerance Models: some models assign contribution
factors if one variable dominates the assembly.
23
Example: Non-Rigid to Rigid Part
n
A 2 mm thick center pillar is attached to an 0.7 mm thick
body side is 0.7mm thick with the following results:
Variable
Part A - Part B - Center Predicted Actual
Body SidePillarStack-UpAssembly
Mean-0.700.20-0.500.30
Std Deviation0.330.110.350.12
Why might you assign a tighter
Predicted Stack-Up
tolerance to the center pillar and a
X
ASM
= X
A
+ X
B
looser tolerance for body side?
σ
2
σ
22
ASM
=
A
+σ
B
24
TQM -University of Michigan
12
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