STRUCTURAL OPTIMIZATION OF HEAVY SECTION DUCTILE IRON … · CAN IMPROVE THEIR DESIGN. G. Bertuzzi,...
Transcript of STRUCTURAL OPTIMIZATION OF HEAVY SECTION DUCTILE IRON … · CAN IMPROVE THEIR DESIGN. G. Bertuzzi,...
STRUCTURAL OPTIMIZATION OF HEAVY
SECTION DUCTILE IRON COMPONENTS:
HOW THE INTEGRATION AND
OPTIMIZATION OF CASTING PROCESS
CAN IMPROVE THEIR DESIGN.
G. Bertuzzi, M. Cova, R. Cenni – SACMI Imola S.C.
G. Scarpa, F. Lago – EnginSoft SpA
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Ductile iron components in hydraulic presses
17 - 18 October 2016International CAE Conference 3
~ 6
00
0 ÷
70
00
mm
~ 4
50
0 ÷
55
00
mm
FIXED CROSSBEAM:• Structural• Functional• Oil Tank• High Pressure Hydraulic Holes
BASEMENT:• Structural
SPACER:• Structural
CYLINDER:• Structural• Functional• High Pressure
Oil
MOULD SUPPORT:• Structural
Why are the castings so important ?
• They represent one of the main cost of the machine;
• Since they are structural parts, a failure could be critical due to safety reasons;
• A failure represents a dramatic issue both from the economical and reputation side.
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Ductile iron component design process
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In 2016 SACMI bought MAGMA5
to introduce a first co-design step
directly in the technical
department
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The “Fully Integrated Optimization”
Optimize at the same time the geometry and the process with the same supervisor that manage them with the objective to get the best results coupling and mutually orienting structural design and casting process.
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Example: the geometry
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Machined component
(in red the machined surfaces, light grey as
cast)
As Cast component
(in red the allowances, light grey as cast)
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Stress analysis: Loads
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Vertical
force
1200 MN
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Stress analysis: Constraints
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Vertical
ConstraintCylindrical
Constraint
Cylindrical
Constraint
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OPTI0: Structural Optimization
Starting
Geometry
Structural
OptimizationOptimized
Geometry
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Material is considered homogeneous: same mechanical properties and same microstructure in
the whole item.
The microstructure is considered as it is in the cast-on sample (Ferritic matrix, 100 nodules/mm2).
*
Optimization:
• Constraint: Safety Factor minimum 1.3
• Objective: Minimize the weight
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Structural Optimization VariablesVar_1: central cylinder diameter
Var_2: central cylinder height
Var_3: external ribs thicknessVar_4: base plate thickness
Var_5: central ribs thickness
Var_6: lateral ribs thickness
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Structural Optimization: Geometry Deformations
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* Correlation Microstructure-Fatigue Strength
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Optimization: the Layout
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Objective:
min(Mass)
Constraint:
SFmin>1.3
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Optimization: the Results
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Minimum Safety
Factor
Ma
ss
Iteration ID
Objective: min(Mass)
Constraint: SFmin>1.3
DP_OPTI0
5000 kg
Sfmin = 1.3
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Optimization: the Results
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The closed chain of simulations for cast components
from Jakob Olofsson, «Simulation of Microstructure-based
Mechanical Behaviour of Cast Components», Ph.D. Thesis,
2014
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The closed chain of simulations for cast
components
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Are we sure about the Safety Factor ?
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DP_OPTI0
5000 kg
SFmin = 1.3
With local properties
5000 kg
SFmin = 1.02
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OPTI1,2,3: a Designer Perspective
Starting
Geometry
Optimized
GeometrySolidification
Mapped
Fatigue
Strength
Solidification
Mapped
Fatigue
Strength
Local
differenc
e less
than 1%
?
Y
E
S
N
O
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Introduced the solidification results:
material not homogeneous, fatigue
strength changes locally in the item.
The casting process is not
considered. Only the geometry is
modified.
Structural
Optimization
Optimization
Ended
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Solidification step: the geometry
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Solidification: Nodule Count
Nodule Count evaluated using MAGMAIron and exported using MAGMALink.
The nodule count is transformed in Local Fatigue Strength using the Gruen –
Kainzinger law.
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OPTI4,5,6: the “Half Coupled Optimization”
Starting
Geometry
Optimized
Geometry
Mapped
Fatigue
Strength
Solidification
Mapped
Fatigue
Strength
Local
differenc
e less
than 1%
?
Y
E
S
N
O
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“Virtual Foundry”: process optimized based on designer’s specific requests.
Structural
Optimization
Optimization
Ended
Process
Optimization
Why “Half” ?
• Each optimizations have its
own “Supervisor”;
• A lot of data transfer (CAD,
Results,…) are still manually.
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Var_1: allowance main plane
Var_2: diameter cylindrical
chills
Var_3: height cylindrical chills Var_4: height rectangular
chills
Var_5: length rectangular chills
Process Optimization Variables
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Process Optimization Objectives
Maximize
the nodule
count
Minimize
porosity
Minimize
the volume
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Process Optimization: Overview
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Process Optimization: Overview
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Process Optimization: Overview
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Process Optimization: Results
Porosity less than 5% and all in the
allowance
Nodule count maximized in the critical
areas
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Process Optimization: Results
Weight
Safety Factor
Half Coupled OptimizationDesigner perspective
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An example of coupled structural and process optimization
has been presented;
We demonstrated if the process results are not properly
introduced in the design it can bring to un-safety;
The best results can be got only if both the structural and
process optimization are coupled.
CAE Conference 2017 for “Fully Integrated Optimization” ?
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Conclusions:
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THE ENDThanks you all!
Giacomo Bertuzzi :
You can find me in: