5. Introduction to LMS
30 years of engineering innovation
Servicing more than 100.000 R&D engineers
… in 5.000 manufacturing companies
Top talent in 30+ offices Worldwide
… almost 1.200 professionals
Visionary, industry-leading innovator
… 25% of budget in R&D
Strong financial track record of profitable growth
A unique ‘Solution Provider’ of
Test Systems, CAE Simulation tools and related
services
6. Introduction to LMS
Global Talent for Global Customers
R&D Centers
Brasov
Breda
Chennai
Coralville
Gottingen
Kaiserslautern
Leuven
Lyon
Plymouth
Roanne
Torino
Sales Offices
Baltimore
Bangalore
Bejing
Coventry
Detroit
Leonberg
Leuven
Los Angeles
Lyon
Moscow
Munich
Novara
Paris
Sao Paulo
Seoul
Shanghai
Toulouse
Yokohama
Representatives
Bangkok
Bangalore
Beckum
Bucharest
Cairo
Kfar Saba
Krakow
Kuala Lumpur
Ljublijana
Madrid
Moscow
Nilufer BURSA
Psáry
São Paulo
Sarov
St. Petersburg
Sydney
Veliky Novgorod
Engineering Services
Bejing
Brasov
Chennai
Coralville
Detroit
Kaiserslautern
Leuven
Lyon
Torino
Yokohama
Europe
40%
Americas
20%
Japan/Korea
20%
RIC
20%
33 15
7. Hybrid TEST/CAE Partner
1.000 people
Horizon 20XX
19951980
TEST-NVH Partner
200 people
LMS2011
UV
Introduction to LMS
LMS, delivering Transformational Solutions
Transforming is …
Addressing
the future problems
of our customers
Leading partner in
Test and Mechatronic Simulation
1995 2010
Engineering
the passion
Horizon 2020
LMS2010
LMStheRoots
8. Modal – NVH – Acoustics – DurabilityLaboratory Mobile
Test.Lab Platform – Test Based Engineering
Design - CAD
Multi-physics ModelingSystem Synthesis System Data Management
Imagine.Lab Platform – Mechatronic System Simulation
Test.Xpress
SCADAS Platform
Controls
Introduction to LMS
A unique portfolio of engineering innovation platforms and best practices
Virtual.Lab Platform
3D Performance Simulation
9. Process & Technology
Frontloading
Multi-attribute Engineering
Technology Transfer
People
Highly skilled engineers
Strong global teaming
Flexibility
Tools
Test facilities & tracks
Use of “multi-physics” models for
control development
Software tools (own and 3rd party)
Know-How
Engineering Expertise
- Process re-engineering & deployment
- Technology transfer, Trouble shooting
Project Management
15 copyright LMS International – 2010
Functional Performance Engineering
Frontloading
Simulation based development enables functional performance engineering
before prototypes are available
% Problems
solved
FRONTLOADING
100%
Proto & Ref
phase
Proto & Ref
phase
Engineering
phase
Engineering
phase
Concept
Phase
Concept
Phase
Proto & Refinement
phase
Proto & Refinement
phase
Engineering
phase
Engineering
phase
Concept
phase
Concept
phase
Frontloading engineering decisions
Avoiding late fixes and costs
More variants can be analyzed
Allows multi-attribute optimization
More time for added value enginee
tasks
Improved initial
design
Faster
optimization
Shorter time
to market
1x 10x 100x 1000…xCost Multiplier
Feedback JML – change to lay-out MI – no references
- DONE
Introduction to LMS
LMS Engineering Services, development partner of choice…
10. Addressing key engineering challenges of AOEM
Model Based System Engineering (MBSE)
Introduction to LMS
“From troubleshooting to design first time right”
Design Phase
Hybrid Test/3D CAE
(Correlation)
2
Controls Engineering
(Mechanical/Electronic
Integration)
4
DESIGN / ENGINEERINGSPECIFICATION VALIDATION CERTIFICATION TROUBLESHOOTING
Validation Phase
Prototype Testing
1
Concept & design Phase
System Modeling
(Multi-Physics)
3
12. The new Paradigm Shift :
Towards a Model Based Development Process
Traditional
Mechanical functionsDesign ManufacturingControl
&
Software
Functions
Thermal FunctionsFuture
Model Based System Engineering
Mechanical
Functions
Control & Software
Functions
3D Design Manufacturing
Vehicle
Architecture
Detailed
Design
Subsystems
Vehicle
Integration
& Calibration
“Systems”-level
Engineering Framework
13. Introduction to Systems
What is a System?
A group
of
multi-domain / multi-physics components
interacting together
Systems have structure, defined by parts and their composition
Systems have behavior, which involves inputs, processing and outputs of material, energy or information
Systems have interconnectivity: the various parts have functional and structural relationships
14. What is a system? Example
Washing Machine
Control
Electric
Hydraulic
Mechanic
Thermal
15. What is System Simulation?
Usual design issues :
Is the electric motor powerful enough?
What is the time response of the system?
Is there any risk of vibration?
How to optimize the control design?
Key words :
Multi-physics with power exchange
Dynamic system (function of time)
Physical system model = Plant model
Control Electric Hydraulic Mechanic
AMESim plant model
16. Abstraction Level – Equations – Representation
Equations are usually written as time dependent
Computing state derivative of variables to assess transient evolution
Equations are represented by readable objects (icons)
Mechanics
Electric
Hydraulics
And many other physical domains…
02
/²/*
22
nn szs
KxdtRdxFdtdxM
Equations
Physical Icon
Representation
CIdtdU
IRU
//
*
PdisplT
displQ
*
*
17. System simulation is linked to the power flow and power conservation within a dynamic system
Each power network can be modeled using different physics with gates for sub-system connections
Power Flow within dynamic system
Electric
power
network
Hydraulic
power
network
Mechanic
power
network
Power flow
You are manipulating equations
not drawing a circuit !
18. Multi-domain simulation system benefits
DRIVE INNOVATION
Explore a wider range of ideas and solutions
Early validation of technical feasibility
Test and compare new ideas via simulation
IMPROVE QUALITY
Improved product behavior predictability
Better collaboration between disciplines
Tighter integration of functions (components
or systems) to build a final product
STREAMLINE PROCESS
Reduce design cycle by virtual system
integration
Increase reusability through knowledge
capitalization
REDUCE COSTS
Reduce development costs with fewer physical
prototypes
Minimize risk on test beds
Reduce products breaks and failures
19. System simulation to answer your challenges
From sequential to integrated product development
Increased virtual development: CAE tools and processes at the heart of the technology agenda
Technology agendas
Are systems correctly sized?
How to integrate more and more
electronics?
How to reduce energy
consumption?
How to ensure the dynamic behavior
of the full system?
Green Comfort Safety Performance
21. Why AMESim for system simulation?
INTELLIGENT
SYSTEMS
MULTI-DOMAIN MULTI-LEVEL BEHAVIOR
Model and
simulate complex,
regulated and
controlled systems
Optimize the
complex
interactions
between several
physical domains
Use from detailed
component
analysis to global
system synthesis
Run both transient
and static analysis
to assess
performance and
energy efficiency
Plant model
Link to controls
Real-time capabilities
Thermal
Hydraulic and Pneumatic
Mechanic
Electric
Electromechanical
From high frequency to
mean value models
From early pre-design to
specification and
integration
Time and frequency
domains analysis
Functional performance
and energy
consumption
26. LMS Imagine.Lab platform
Create Simulate Capitalize Deploy
•Development of new
components
•Modeling
•Simulation
•Analysis
•Libraries management
•Model Packaging
•Run only
•Parametric studies
User expertise User number
Expertise Deployment
AMESim AMECustom AMERunAMESet
Starting Point
27. AMESim Pre/Post-processing tools
AMESim Tools enable to pre/post-process and analyze simulation data
Pre and post-processing tools: table editor, plot manager, HTML report generator, 3D
animation,..
Analysis tools: FFT, linear analysis, model reduction, optimization,…
Frequency Domain Design Exploration
DOE
Optimization
Monte-Carlo
28. Obtain the best features of both platforms
Analyze coupling between physical and the
control systems
Eliminate the need to re-write complex
models on various platforms
No limitation in model size or complexity
AMESim - Simulink Interface
Coupling the plant model
within a control model in Simulink
AMESim
Complete systems engineering
simulation platform
Simulink
The de-facto standard for
control system design
3 types of interface:
Co-simulation
Export from AMESim to Simulink
Export from Simulink to AMESim
Physical & Control modeling
35. KYB reduced the design cycle of hydraulic system
KYB is a leading Japanese hydraulics company specialized in
hydraulic technology which is widely used in the automotive,
aeronautical, construction machinery, rail and maritime
industries.
Challenges
Reduce design cycle delays of hydraulic system
Demonstrate to customers products’ efficiency through
simulation.
Solution
A flexible simulation tool that engineers could easily understand,
adapt to various customers’ requests and interface with other
simulation software (multibody software, Simulink)
LMS Imagine.Lab Fluid Systems
“LMS Imagine.Lab AMESim helps us to reduce our design cycle
by two months.”
Mr.Kazuhide Maehata – KYB – Hydraulic Components Operations General Manager
36. Home appliances manufacturer
Reinforcing the “Eco” home appliances brand values
Challenges
Reduce costs and delays and develop
eco-friendly, innovating refrigerators
Keep and grow competitive advantage
Solution
LMS Imagine.Lab Two-Phase Flow
solution
Stop and Start capabilities
AMESim helped to test virtually early in the design cycle the
energetic performance of their refrigerators according to various
configurations and to simulate complex standard working cycles.
Benefits
Seamlessly model fridges with complex test cycles standards to fit industry
requirements
Test several refrigerating configurations rapidly and analyze the impact
Replace hours of test sessions by minutes of simulation
Have a more deep insight on control loops
37. Cold rolling mill productivity optimization
Company:
Manufacturer of cold rolling mill for steel plate production line
Issue:
Optimization of the hydraulic control of the roll gap to keep
constant thickness of the steel plate
Solution:
Evaluation of new “intelligent” system to control chatter
effect of hydraulic roll mill
The simulation model covers the plant control and
regulation functions
Prediction of vibration problems
LMS Imagine.Lab AMESim with hydraulic libraries (HYD and HCD)
38. Study on Tetra Pak S.p.A machinery workflow to increase production rate
with LMS Imagine.Lab AMESim
“With the new layout configuration, requested production rate can be assured supplying the circuit with a
lower power which enables an increasing of the system efficiency”
C. Angeloni, S. Castagnetti, M. Ernetti, F. Franzoni, M. Milani from DISMI University of Modena and Reggio Emilia - “The Twelfth Scandinavian International
Conference on Fluid Power, May 18-20, 2011, Tampere, Finland
Challenges
Development of more efficient hydraulic
actuation systems, that enable a higher
productivity and an overall power saving
Solution
Analysis of the dynamic behavior of an automatic
packaging machine hydraulic circuit of Jaw and
Filling System, with LMS Imagine.Lab AMESim
Modified layout has been proposed, adopting a
simpler circuit configuration.
Benefits
The circuit has been optimized, considering the
proper interaction between the different parts
Productivity increased from 6000 to 10000
packages/h
System efficiency increased
39. Multi-physics modelling and system analysis of electrical distribution
network devices at SCHNEIDER Electric
Challenges
Integration Power and Control
Increase of product functionalities (both hardware & software)
Decrease energy consumption
> New Product architectures: global optimization of the products
Solutions
Electromechanical Components solution
Trainings and technical expertise
Benefits
Technical capabilities of the tool to perform multi-physic
(electrical, mechanical and thermal) and electronic simulation
Capabilities to capitalize and transfer the models along our
design process
Accuracy of the simulation results versus the simulation delay
Many different uses of models for our investigations
“LMS Imagine.Lab offer a wide environment that allows designers to share their viewpoints, model
and simulate devices on the whole, and find solutions quicker”
François CAZALS – Schneider Electric – System and Mechatronic expert designer
LMS is uniquely positioned as solution provider, having both:
- A strong HW/SW Tools portfolio (Test and Simulation)
- The related services
LMS perceives this position as a strategic advantage as most (all?) of its competitors:
- Only sell tools without a strong service engineering support capabilities OR
- Only provide services without any interest to make customers self-reliant using industrial tools
LMS this “solution approach” is specific relevant for MI companies, as it provides an overall toolkit to get the issues solved
LMS invests a lot in R&D in order to remain in the forefront of relevant technology innovation
- Through organic growth OR
- Through well selected acquisitions
LMS has a healthy financial track record , allowing the company to continue to invest in R&D/innovation
We are proud to be part of a global company, having
- 33 sales offices/representative throughout the world
- 15 R&D/services centers
This global presence allows us to support customer world-wide
- Be there to support them in their local language
- Furthermore it presents opportunities for further ideas/product roadmaps, making us even more relevant to customers…
This slide represent the complete portfolio of LMS.
- Test.Lab is the platform for mobile and lab testing of physical prototypes
- Virtual.Lab is the 3D CAE simulation platform (closely linked to CAD)
- Imagine.Lab is the platform for multi-physics modeling (authoring) as well as system synthesis (supported by a system data management system)
- As required Test and 3D data can be integrated to represent an overall system/subsystem as part of a “functional mockup”
In addition LMS has a strong engineering and deployment capability, helping customer tackling a wide range of engineering challenges as well as supporting the deployment and integration of the LMS tools
ES is enabler of LMS engagement model.
Our solution includes:
People: We are a people business and we realize we charge a lot for them, but they are our core value: they bring our knowledge, experience and flexibility.
Know-how: We bring experience – related to people – in terms of application know-how, project management/process as tool usage. We also provide process audits –what is the current engineering process (e.g. acoustic target setting), what are the bottlenecks, how can we improve this
Tools: Having the proper tools in place, ranging from test hardware, CAE software and test facilities, takes away the customer’s burden of selecting tools and trying to understand how they work.
-> focus on process efficiency, optimal performance, best in class technology set up
Process: The value of having a process in place cannot be understated we have worked in the industry for so long that we can manage this for him and implement it.
On top of that , we are ready to provide real technology transfer
-> focus on process efficiency, optimal performance, best in class technology set up
LMS considers its engineering services key to help customer solve development challenges. However, the LMS mission is not only to solve the today’s customer issues, but also to make the customer more self-reliant by securing appropriate know how transfer of tools and process…
LMS provides engineering solutions throughout the development phase… This development phase is represented by a “development V for mechanical engineering” and eventually a parallel “development V for SW-controls engineering)
Since the 1980’s, LMS helped (and still helps) customers testing the physical prototype at the time of product or component HW availability. Although the need for such final “real-life” validation remains very critical, LMS has introduced in the late 90’s the unique concept of “hybrid” engineering, using physical testing to improve accuracy/usage of 3D CAE simulation. This allows customers to frontload more design decisions (in the absence of a physical prototype) as the accuracy of CAE simulation is further boosted. In the last years, LMS is heavily promoting design options to be simulated in the absence of a 3D geometry by using multi-physics system modeling techniques as from the architectural/concept phase of the product development.
This modeling technique is the ideal approach to integrate HW and SW engineering activities if required.
Thanks to the recent acquisition of Emmeskay, LMS is now in an unique position to help customers bridging both distinct development worlds…
Starting with Virtual.Lab Structures – the unified modeling environment
To create the system simulation model in LMS Imagine. Lab AMESim, users can exploit a large library of pre-defined and validated components from different physical domains, such as fluid, thermal, mechanical, electromechanical, powertrain and many others. These libraries eliminate the need for extensive code writing and enable development teams to easily create complex system models covering multiple domains. The accelerated modeling frees up valuable engineering time that can be used to optimize designs. The library components are all completely validated, which guarantees the accuracy and the reliability of simulation results.
LMS Imagine.Lab AMESim is an open platform enabling an efficient integration with third-party software tools for control, real-time simulation, multi-body simulation, process integration and design optimization. LMS Imagine.Lab AMESim also provides a generic co-simulation interface to couple multi-domain system simulation with any kind of 3D dynamic models, for example for computational fluid dynamic simulations or finite element analysis. This allows LMS Imagine.Lab AMESim to be seamlessly integrated into the extended digital development process.
---------------------------------------------------------------------------
CFD / means Computational Fluid Dynamics
MBS / means Multi Body System
EM / means Electromagnetism
PIDO / means Process Integration and Design Optimization
Please, insist on the both graphs which are showing than:
. AMESim is a suite tools (no only one product)
. AMESim technology could be deploy for several communities
AMESim enables users to build complex multi-domain system models through the interactive graphical interface. The resulting sketch is easily understandable and offers a logic representation of the system model under investigation. AMESim is based on a validated collection of components issued from different physical domains. AMESim focuses on physics-based building blocks, frees users from all numerical model creation and code writing tasks, and gives direct access to the analysis and the optimization of the design. Based on the most advanced numerical integrators, the AMESim solver supports ordinary differential equation (ODE) and differential algebraic equations (DAE). The solver automatically and dynamically selects the best-adapted calculation method, depending on the dynamics of the system, among 17 algorithms.
AMECustom is a customization tool that allows to adapt applications to the end-users’ requirements. With AMECustom, company-specific model databases can be built, with custom user interfaces and parameter sets. In addition, AMECustom offer the possibility to protect sensitive information through encryption facilities before supplying models to third parties.
AMERun offers a run-only version of the AMESim software, dedicated for users who simply want to run a packaged simulation model to analyze and visualize different design alternatives. With AMERun, engineers can easily share their validated, tested and customized AMESim models with nonexpert users. AMERun offers most of the features available in the standard AMESim environment to set model parameters and perform analysis runs.
AMESet, the submodel editing tool of AMESim, is designed to assist users in writing well-documented, standardized, reusable and easily maintainable libraries. By following simple rules, component models become fully compatible with the existing AMESim models and are automatically usable on each supported platform. AMESet is also perfectly adapted for the re-engineering of proprietary simulation code.
LMS Imagine.Lab AMESim offers an extensive set of tools to optimize the design cycle . These tools include facilities to optimize your design, to perform the analysis of multi-domain systems, to analyze graphically simulation results or to generate customizable HTML reports.
AMEAnimation is useful for visualizing the results of AMESim simulations as a 3D animation scene. Users can develop animated representations of an AMESim simulation by creating objects in AMEAnimation and linking them to the results of the simulation. Animated 3D scenes offer a higher level of demonstration and you can visualize the physical behavior of components according to the parameters you enter and the results of the simulation.
Analysis tools such as Fast Fourier Transform, spectral map, linear analysis order tracking and activity index helps to understand the behavior of the system, highlighting the main dynamics and enabling the user to simplify the modeling with a handled lost of accuracy in the results if required. A lot of information about the intrinsic behavior of the system is available using Linear Analysis. AMESim includes a comprehensive set of methods: eigenvalues, modal shapes, root locus, transfer function representation thanks to Bode, Nichols and Nyquist plots.
Our solution is based on the AMESim-Simulink interface since Simulink is de-factor the standard for the design of system control. The idea is to offer the possibility to develop the physical system model within AMESim and to set-up a model of the control in Simulink and to couple the two tools. 3 types of interface are provided in AMESim:
The co-simulation means that each software use its own numerical solver. AMESim&Simulink exchange data during synchronisation meetings (in practice, AMESim can send sensor signals and get actuator commands from Simulink). This is used mainly during the function specification stage.
It is also possible to export an AMESim model in Simulink in the form of a S-function. This is used for the implementation and validation stages. In this case, both models used the Simulink solver.
The third interface is the import of a Simulink model in AMESim to generate a SIL environment directly within AMESim.
These plots show that as soon as the load orifice opens, the downstream pressure is too low, the pressure acting on the membrane is weak and the pilot valve opens; pressure in the upper chamber is released and the main valve opens following the pilot (opening phase). On the other hand, when the downstream pressure raises, the pilot valve closes. Pressure in the upper chamber raises also and tend to force the membrane to close the main valve which follows the movement of the pilot (closing phase).
The pilot closes far more faster than the main valve as shown in the following plot: These plots show the way the valve regulates the pressure. Indeed, the pilot valve is set at a given downstream pressure to be maintained. If the downstream pressure is higher than the setting pressure, the main valve works in closing phase until the setting pressure is reached. When the downstream pressure is below the setting pressure, the main valve works in opening phase until the setting pressure is reached downstream.
The line submodels include resistance, inertia and compressibility and, hence, generates wave dynamics. These wave dynamics are often responsible for localised instability in the system. In this model, this instability takes place in the hydraulic chamber of the pilot valve and generates high variations of pressure during the opening phase.
The nozzle influences the correct operation of the valve. Indeed, a right nozzle size is a good compromise between time needed to regulate the system and regulation stability
Starting with Virtual.Lab Structures – the unified modeling environment
[2009]
More info in the LMS Connect nr 19 (July 2009)
KYB is the biggest hydraulic system supplier for Construction machinery such as KOMATSU, HITACHI etc.
[2010]
Check the PANASONIC internal News on MechaNews! Nr.6
http://lmsintranet/?sitenavid=B1B8D81E-700F-45D7-B55A-5AE648C915F9
This is an example of a company designing cold rolling mill systems for steel plate production line.
On this type of system, there is a very well-known effect that appears, you accelerate the speed of the system if you want to increase the productivity, but you reach a point where the system becomes very unstable. This system is controlled by an hydraulic circuit and the customer used AMESim to find a way to increase the accuracy and precision of the hydraulic control system to increase the productivity and the speed of the plant. The increase of the accuracy of the system must be done but they needed to avoid that they have these oscillations appearing to keep the sickness of the plate constant.
They used AMESim to model the full hydraulic system but also the control logics that control the pressure in the hydraulic system to avoid oscillations and unconstant thickness of the system.