Integrating Multi-Disciplinary Optimization into the ......Date: 2016-12-05 Dr Mikael Törmänen; Volvo Car Corporation, Integrating Multi-Disciplinary Optimization into the Product

Dr. Mikael Törmänen, Volvo Car CorporationTechnical Expert MDO & P/T Attributes Balancing

Integrating Multi-Disciplinary Optimization into the Product Development Process

Seminarium 2016-12-05:

Nationell kompetensarena kring produktoptimering

ParametricStudies

AttributesBalancing

RobustEngineering

ConceptualStudies

Final Assessments

Increasing need for Multi-Disciplinary Design Optimization

Date: 2016-12-05Dr Mikael Törmänen; Volvo Car Corporation, Integrating Multi-Disciplinary Optimization into the Product Development Process, Seminarium - Nationell

kompetensarena kring produktoptimering 2

NEEDS

Faster

Easier

Earlier

Traceable

Drivers

Increasing product complexity

Multitude of variants

Shorter time to market

MDO Infrastructure

is the key enabler!

Areas

Topology

Structure

Behavior

Controls

Physical models

OPTI-

MIZE Optimization Tools

MDO Integration Collaboration Platform

Mountain of Optimization



CAE CAPABILITY CAE Confidence, KPI &

Automation

SYSTEMS ENGINEERING Identify focus areasA B C

MEANS that support MDO

• Systems Engineering Process

• Methodology that points out the optimization problem, i.e. do right things

• CAE Process

• Support real cases

• Automated

• MDO Process

• Easy to connect to a MDO framework

• User-friendly and intuitive collaborative platform

• Easy management of models and work flows

• Efficient scheduling of tasks and computational resources

• State-of-the-art statistical toolbox

• PLM Process

• Common storage of CAE and MDO processes across departments

• Assure traceability of everything against targeted programs



Identify focus areas



Signals

Fun

ction

s

Dynamics

Structures

Functions

Systems

Interactions

Map

Relations



• Prof. Dov Dori; Object-process Analysis:

Maintaining the balance between

system structure and behavior (1995)

• OPM is an ISO Standard (19450) since

December 2015.

• Models both structure and behavior in a

unified model

• Simple language

1 diagram form

20 notations

Object Process Methodolgy



Source: “The Ascent of Knowledge Mountain” a blog by Rob Addy @ Gartner

PLM

Sto

re

Query

Requirements for the process

Subprocess that can change state

Results

Attribute

bad good

System

Subsystem 3

Process

Subprocess

Subsystem 2

Subsystem 1

CAPTURE Knowledge

Mathematical Interpretation of the

stored OPM schemes brings up the

knowledge and helps us to map the

attribute relationships.

Axiomatic

Design

Principles



Design Areas

Ve

hic

leA

ttrib

ute

s

Design Areas

Ve

hic

leA

ttrib

ute

s

Axiomatic Design Principles sorts

these relationships into important

clusters where optimization need to

be done.

Identify focus areas

CAE Confidence, KPI & Automation



x = (x1, x2, x3,..., xn)fi : Rn Ri, i = 1,...,mgj : Rn Rj, j = 1,...,p

minimize fi(x)subject to gj(x) ≤ 0

fi(x)

x1

x2

...xn

f1

f2

feasible area

1.2 1.3 1.2

2.1 0.3 4.3

1.1 1.6 1.2

CAE Automation


kompetensarena kring produktoptimering

10

Manual

CAE

- Manual

configuration

- Manual pre-

processing

- Manual sim

submission

- Manual

postprocessing

Lot of ”clicking”

Scripted

CAE

- Manual

configuration

- Scripted pre-

processing

- Scripted sim

submission

- Manual

postprocessing

Less ”clicking”

Automated

CAE

- Scripted

configuration

- Scripted pre-

processing

- Scripted sim

submission

- Scripted

postprocessing

No”clicking”,

Enables batch runs

Scheduled

CAE

Collaborative

CAE

- Scheduled

simulation

- Design exploration

- Single-disciplinary

design optimization

”Sub optimization”

- Multi-disciplinary

design optimization

- Multi variate analysis

- Pareto designs

Trade-off balancing

I hope that the KPIs

& CAE Confidence

levels are OK?

Modular test environments



fi(x)

x1

x2

...xn

Te

st C

od

e

Po

stp

roce

ss

Drive Cases

Actuation

Test

Object

Sensors

Rig

Mimic real testing

- Change test object / rig (switch model)

- Modify test object / rig (parameters)

- Modify drive cases (operating point,

timing)

- Modify actuation (min/max values)

- Change test codes (switch purpose)

Automation must be done outside the

optimizer platform

Bridging CAE to MDO



Appropriate fidelity

Sufficient

confidence level

Usable KPI

Collaboration

plattform

Application call

Configuration

management

Automated

CAE workflows

MDO Workflow

Tools

MDO TOOL Chain - Pilot



Connect to

Vehicle Program

minimize

g(f1(x),

f2(x),

f3(x),..)

Publish

MDO Workflows

& Run

Optimization

Create MDO

workflows using

reference links

Applications

Milestone

Storage

f(t,x,u,params):

All applications possible to integrate!

Traceability through the whole chain!

In modefrontier



CAE Flow

Modefrontier + SOMO



MF Flow A

MF Flow C

MF Flow B MF/SOMO

Application Calls

MDO INTeGrATION process



New

Idea

CAEProcess

Automated

Simulation

MDOProcess

Collaborative

Optimization

SEProcess

Identify

Optimization Areas

Find mathematical

relations to describe

product sub area

contributions

Establish virtual test

environments with

high quality data

generators

Establish a user

friendly plug and

play collaboration

environment

Conclusions

• Knowledge in terms of Functions, Structure, Dynamics and Interactions with

surrounding systems is modelled using Object Process Methodology (OPM)

• Interpretation of OPM models provides valuable information about

• Where to act, do right things

• How to choose the right methods and tools

• What attributes should be optimized

• CAE methods and tools should be able to mimic real testing

• Confidence levels and KPI usable for reliable evaluation

• Automation of the test should be done outside the optimizer

• Collaborative Optimization platform necessary for efficient MDO

• Easy to connect to, plug & play environment that keeps track of everything

• Volvo / ESTECO pilot shows that this is possible using modeFrontier, SOMO and

OpenPDM providing traceable, reusable, transparent functionality





Q & A

Documents

Integrating Multi-Disciplinary Optimization into the ......Date: 2016-12-05 Dr Mikael Törmänen; Volvo Car Corporation, Integrating Multi-Disciplinary Optimization into the Product