simcenter - the art of the possible - siemens plm …€¦ · simcenter - the art of the possible...

Simcenter - The Art of the PossiblePaul Weal - Sr. Business Developer, Siemens PLM

Realize innovation.Unrestricted © Siemens AG 2016

Unrestricted © Siemens AG 2016

16.05.2016 Siemens PLM Software

The Art of the Possible

We drive innovations

Virtual sensing

Model Predictive

Control

Testing

productivity with

Cloud / IoT

Convergent

modeling

Big Data

AnalyticsComposites

design

Topology

optimization

Parameter

management

Real-time

simulation

Test-1D-3D

Enabling Systems

Driven Performance

Verification

Synchronous

technology



Optimal Trajectory Planning for

Driver Assistance System

How to extend a driver’s limited viewing

horizon using digital map data?

How to anticipate for dangerously

high velocity when entering a turn?

How to achieve fuel efficient driving?

Driver Support Using Model Predictive Control

Addressing New Challenges in Controls Engineering…

Similar to human driving

Dynamic constraints

Input constraints

2. Control Objective

Smooth trajectory

Time-optimal driving

Safe vehicle cornering

3. Dynamic Trajectory Optimization

Find the optimal trajectory over a receding horizon

Online optimization

Visually inform the driver about reference path

and vehicle velocity

1. Model for Prediction



“Virtual Sensing” – Combined Use of Test and Simulation

Example: Body Force Estimation applied to Driving Performance

Wheel Angles

Speed/Position

Strain/ Accel. …

Sensor data

Cornering

Forces

At Body

Connections

Virtual sensor

Measurement update

∆ (Measured value - predicted )

Kalman Filter based on Simulation (Real-time)

Input maneuver

Objective evaluation of driving

performance by estimating body

cornering forces at suspension

to body connection points using

Test - 1D/3D modeling

Tires

Road

Chassis/body

Su

sp

en

sio

n



Real-time Simulation – 1D, 3D and Combined

Enabling Human in the Loop (Simulators) and Frontloading Controls Engineering



Convergent Modeling Technology

Revolutionize the way product shapes are developed



Enabling Systems Driven Performance Verification

MBSE in Enterprise Systems Engineering Processes

System Architecture Modeling

Model

elements

Sim.

Architecture

Sim. I/O

realize

specify

Reusable Assets

Models

Specify, Trace and Configure

Realize, Implement, Validate and Verify

instantiate

ICE

E-motor

rshaft_1

Battery

elect_1_2

rshaft_1

Gearb

ox

Chassis

rshaft_1

elect_1_1

rshaft_1

rshaft_1

Multi-Domain Simulation Architecture

Sim.

Conf.

Configured Multi-Domain Simulation

Simulate and Validate

specify

behavior

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Taking Advantage of IoT and Data Analytics

In support of testing productivity

Multi-physics data acquisition

on real-life test item

with LMS SCADAS XS

Measurement data from Cloud

as input for simulation model

- Model validation

- Result calculations

- Model as virtual sensor

Cloud-enabled

remote monitoring of full

measurement data, including

processing

Cloud-enabled remote

measurement status

tracking via mobile

device

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Data mining and processing on

large sets of automotive

measurement data

Providing answers to

engineering questions about

vehicle usage during driving conditions

Big Data Analytics

Processing of On-road Fuel Economy, Durability, Vehicle Usage, …

Generating Engineering insight from Vehicle Usage Data

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B-Type C-Type

Relative Time v=0

Relative Time XSystemEngineOff var 1

Relative Time XSystemEngineOff var 2

On-road driving –

fleet information

CAN

Sensor

…

Data taken during

realistic driving

conditions

Machine Learning &

Statistical processing

on large data

quantities

Data mining services delivered by Siemens STS services

Engineering

Insight

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Teamcenter Simulation

Parameter Management

“We use the Teamcenter simulation process management solution to close the loop

with the tools that are used.”Marc Solomon, PLM Chief Engineer and Engineering Systems Architect, ULA

Highly specialized disciplines

Hundreds of tools

Historically document centric

Goal: Minimize handoff cost and error to/from analysis and

design tools



Topology Optimization

Innovative workflows to speed engineering

Challenge

Efficient and complete

process for designing,

simulating and optimizing

lightweight parts

Optimized models using different parameters

Define functional features on optimized result

1. Define CAD features as

functional requirements for

the optimization – bosses,

holes, keep out/in’s etc

2. Define multiple load cases

and single objective

3. Set resolution

4. Result is returned as a

Convergent CAD model

ready for:

• further modeling work

• use as design guidance

for re-modeling

• being sent straight to the

3D Printer



Synchronous Technology

Leverage geometry from any source for faster CAE analysis



Leveraging the value of composites with LMS Samtech Samcef

Airbus Group Innovations

Realizing technological excellence and breakthroughs in aircraft composite design

• Facilitated the engineering and

analysis of complex composite

structures

• Used improved understanding of

composites to increase lead over

competitors

• Enhanced ability to perform

composite damage analysis

“Thanks to the implementation into LMS Samcef of advanced composite material laws

developed in collaboration with LMT Cachan and LMA Marseille, Airbus Group gained much

deeper physical insights, thus extending the gap with its competitors by positioning itself as

the first and leading research department able to offer such advanced expertise."

Didier Guedra-Desgeroges, Vice-President and Head of the Technical Capabilities Center

• Identify delamination and damage in composite structures

• Use nonlinear analysis to determine adequate safety margins

Correlation between LMS Samtech Samcef

and test resultsDamage on a composite helicopter blade

simcenter - the art of the possible - siemens plm …€¦ · simcenter - the art of the possible...

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