1. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
What Should CAE Engineers Know
and What They Do Not Need to Know
Univ.-Prof. Dr.-Ing. Martin Meywerk
Department of Automotive and Power Train Engineering
Helmut-Schmidt-University
University of the Federal Armed Forces, Hamburg
15. Nov. 2007
What Should CAE Engineers Know and What They
Do Not Need to Know?
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2. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Introduction
What is the background?
Giving lectures both for engineers in industry and students (topic:
CAE methods in automotive engineering).
The experiences are the following:
the „pupils“ learn very quick the functionality of buttons and how to
produce coloured pictures
the „pupils“ do not want to analyse or interpret the results
But: It is very important to anaylse results from CAE-software from
a physical point of view
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Do Not Need to Know?
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3. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Workflow for CAE engineers
Boss:
This is our new part in the suspension; are you able
to calculate the durability?
CAE engineer: Yes, of course
Boss:
By tomorrow?
CAE engineer: By next week!?
Boss:
...
Now the work starts for the CAE engineer.
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Do Not Need to Know?
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4. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Modelling
physical → geometrical → mathematical
Simulating (software)
Analysing the results
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5. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Physical Modelling
Which physical phenomena are involved in the problem?
change of
⇒ principal physical equations
Which phenomena could be neglected?
⇒ assumptions
Simple estimations or experiments
concerning the assumption have to be done
possible
⇒ Final set of equations
A lot of knowledge of physical phenomena is necessary.
15. Nov. 2007
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Do Not Need to Know?
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6. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Geometrical modelling
1. CAD-data Clean up
unique (not double defined)
anywhere (no holes)
2. Physically motivated modification (strong link to physical modelling)
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7. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Geometrical modelling
little Bohrung
Kleinehole
little bead
Kleine Sicke
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Do Not Need to Know?
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8. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Physically motivated modifications / simplifications
small
beads
holes
radii
discipline
o
+
+
Modal analysis (eigenvalues)
+
+
+
heat conduction
o
-
-
statics (stress)
+ can be simplified
o with restrictions: can be simplified
- should not be simplified
- a lot of experience is necessary for simplifacation of geometry
- anticipation of the solution
- simplification is necessary
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9. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Physically motivated modifications / simplifications
a)
c)
b)
b
a/4
a
2b/3
9x
....
b/20
b/5
4b/5
b/10
4b/5
b/20
9x
....
modifications depend
additionally to discipline on:
x
Number, shape and location
b/10
d)
e)
b/10
b/5
b/5
b/10
f)
b/5
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Do Not Need to Know?
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10. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Mathematical Modelling
Correct choice of:
• solver for ODE
• discretization method for PDE
• parameter of the solving algorithm
- knowledge of the algorithms is necessary
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Do Not Need to Know?
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11. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Simulating (software)
– knowledge of the most capabilities of the software
– knowledge of all relevant input parameters
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Do Not Need to Know?
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12. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Analysing the results
-
plausibility of the results
-
simple estimations
-
comparison with known facts
-
conservation of mass, momentum, energy
It is the responsibility of the CAE engineer to check the results!
-
basic principles has to be known
-
simple estimation formulas have to be applied
(known by heart or by book)
-
basic physical parameters has to be known by heart
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13. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Lack of knowledge
-
properties of tensors (of second order)
-
how to apply simple estimation formulas
-
broad knowledge of physics
-
plausibility checks
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Do Not Need to Know?
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14. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Summary
What should CAE Engineers know
•
a lot of physics, some numerical mathematics, little CAD facts,
how to estimate, how to anticipate, and how to interprete results
and what they do not need to know?
•
script languages for pre- or post processing or workflow definition,
programming languages e.g. C#, customizing of software
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15. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Demands on knowledge:
basic:
standard:
s
high:
Demands
b
h
Classification of CAE engineer
CAD engineer
: CAD
CAE standard user
: CAE
CAE specialist (developer) : Spec.
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Do Not Need to Know?
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16. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Matrix: Demands vs. Classification
Static/FEM
b
CAD
s
MBS
h
b
Crash
s
h
b
s
h
Should not be done
CAE
Spec.
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17. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Example: MBS (some keywords)
basic:
kinematics and kinetics of rigid bodies in three dimensions,
solver for ODE, angles for orientation of rigid bodies
(e.g. Euler), simple 1D-force-deflection-laws, …
standard:
broad survey of solvers for ODE (incl. one-step, multi-step,
implicit, explicit), stiff ODE, survey of orientation descriptions
for rigid bodies, simple tensor calculus, general
3D force / momentum-deflection/rotation law,
flexible bodies (Craig Bampton), …
spec.:
DAE solver, index 3 systems, floating frame of reference
formulation for flexible bodies in MBS, …
Examples, no complete list!
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18. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Example: Continuum Mechanics
basic:
linear material laws, lin. FEA, tensors; limits of the
simplified, linear modelling, …
standard:
nonlinear material laws, elasto-plastic, composites,
phaenomenological laws, higher order FE, locking effects, …
spec.:
alternative discretization method (MLS, Trefftz), adaptive
meshing, compatibility, …
Examples, no complete list!
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Do Not Need to Know?
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19. Automotive and Power Train Engineering
Prof. Dr.-Ing. M. Meywerk (Automotive Engineering)
Example: Crash
basic:
Crash on a low level should not be applied!
standard:
nonlinear material laws, elasto-plastic, composites,
phaenomenological material laws, foams, reduced/full/selective
integration, hourglass modes/control, mass scaling, contact
algorithm, parts of standard MBS, tensors, invariants, time step
control, mass scaling, penetration removal, airbag and
restraint modelling, dummy models, basics of nonlinear
dynamics, ….
spec.:
alternative discretization method (MLS, Trefftz, …), adaptive
meshing, ….
Examples, no complete list!
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Do Not Need to Know?
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