SYSTEM SIMULATION ENABLES FASTER
DEVELOPMENT AND BETTER PRODUCTS
CONFIDENTIAL
Tom Boermans
LMS – Account manager
Tom.boerm...
Tom Boermans
Account Manager
1D System Simulation
LMS Imagine.Lab AMESim
AMESim references cases
Overview
Introduction
System Simulation basics
System simulation using LMS Imagine.Lab AMESim
AMESim reference cases
4
Introduction
Introduction to LMS
30 years of engineering innovation
 Servicing more than 100.000 R&D engineers
… in 5.000 manufacturin...
Introduction to LMS
Global Talent for Global Customers
R&D Centers
Brasov
Breda
Chennai
Coralville
Gottingen
Kaiserslauter...
Hybrid TEST/CAE Partner
1.000 people
Horizon 20XX
19951980
TEST-NVH Partner
200 people
LMS2011
UV
Introduction to LMS
LMS,...
Modal – NVH – Acoustics – DurabilityLaboratory Mobile
Test.Lab Platform – Test Based Engineering
Design - CAD
Multi-physic...
Process & Technology
 Frontloading
 Multi-attribute Engineering
 Technology Transfer
People
 Highly skilled engineers
...
Addressing key engineering challenges of AOEM
Model Based System Engineering (MBSE)
Introduction to LMS
“From troubleshoot...
System Simulation basics
The new Paradigm Shift :
Towards a Model Based Development Process
Traditional
Mechanical functionsDesign ManufacturingCon...
Introduction to Systems
What is a System?
A group
of
multi-domain / multi-physics components
interacting together
Systems ...
What is a system? Example
Washing Machine
Control
Electric
Hydraulic
Mechanic
Thermal
What is System Simulation?
 Usual design issues :
 Is the electric motor powerful enough?
 What is the time response of...
Abstraction Level – Equations – Representation
 Equations are usually written as time dependent
 Computing state derivat...
 System simulation is linked to the power flow and power conservation within a dynamic system
 Each power network can be...
Multi-domain simulation system benefits
DRIVE INNOVATION
Explore a wider range of ideas and solutions
Early validation of ...
System simulation to answer your challenges
From sequential to integrated product development
Increased virtual developmen...
System simulation using
Imagine.Lab AMESim
Why AMESim for system simulation?
INTELLIGENT
SYSTEMS
MULTI-DOMAIN MULTI-LEVEL BEHAVIOR
Model and
simulate complex,
regula...
LMS Imagine.Lab Libraries
23
> 30 libraries, > 4000 validated models
LMS Imagine.Lab suite
AMESim
Modelica Platform
Real-time
Scripting facilities
Analysis Tools
Solver and Numerics
Software ...
CONTROL
MECHANICS HYDRAULICS
PNEUMATICS
THERMALPOWER ELECTRONICS
FEM
CONTROL
MBS
CFD
MAGNETIC
AMESim positioning in CAx wo...
PIDO
Control
Real Time
EM
LMS Imagine.Lab AMESim, an Open Platform with…
MBS
CFD
OPTIMUS
LMS Virtual.Lab
Motion
CFX
LMS Imagine.Lab platform
Create Simulate Capitalize Deploy
•Development of new
components
•Modeling
•Simulation
•Analysis
...
AMESim Pre/Post-processing tools
AMESim Tools enable to pre/post-process and analyze simulation data
 Pre and post-proces...
 Obtain the best features of both platforms
 Analyze coupling between physical and the
control systems
 Eliminate the n...
Example 1: public water regulation valve
30
Example 1: displacements of the two valves, downstream
pressure and pressure in the upper chamber
31
Example 1: displacements of the two valves, downstream
pressure and pressure in the upper chamber
32
Example 1: Pressure variations
33
variations of the pressure in the pilot valve Downstream pressure for three
different no...
Example 2: Excavator with planar mechanics
AMESim reference cases
KYB reduced the design cycle of hydraulic system
KYB is a leading Japanese hydraulics company specialized in
hydraulic tec...
Home appliances manufacturer
Reinforcing the “Eco” home appliances brand values
 Challenges
 Reduce costs and delays and...
Cold rolling mill productivity optimization
Company:
Manufacturer of cold rolling mill for steel plate production line
Iss...
Study on Tetra Pak S.p.A machinery workflow to increase production rate
with LMS Imagine.Lab AMESim
“With the new layout c...
Multi-physics modelling and system analysis of electrical distribution
network devices at SCHNEIDER Electric
 Challenges
...
Thank you !
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Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables faster development and better products

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External speaker from LMS at the 8th edition of our Innovation Day on October 21st 2011.

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  • 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.
  • Verhaert Innovation Day 2011 – Tom Boermans (LMS) - System simulation enables faster development and better products

    1. 1. SYSTEM SIMULATION ENABLES FASTER DEVELOPMENT AND BETTER PRODUCTS CONFIDENTIAL Tom Boermans LMS – Account manager Tom.boermans@lmsintl.com
    2. 2. Tom Boermans Account Manager 1D System Simulation LMS Imagine.Lab AMESim AMESim references cases
    3. 3. Overview Introduction System Simulation basics System simulation using LMS Imagine.Lab AMESim AMESim reference cases 4
    4. 4. Introduction
    5. 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. 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. 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. 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. 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. 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
    11. 11. System Simulation basics
    12. 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. 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. 14. What is a system? Example Washing Machine Control Electric Hydraulic Mechanic Thermal
    15. 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. 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. 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. 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. 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
    20. 20. System simulation using Imagine.Lab AMESim
    21. 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
    22. 22. LMS Imagine.Lab Libraries 23 > 30 libraries, > 4000 validated models
    23. 23. LMS Imagine.Lab suite AMESim Modelica Platform Real-time Scripting facilities Analysis Tools Solver and Numerics Software Interfaces Fluids Thermal Mechanical Electrical Physical Libraries Authoring Platform Hydraulics Pneumatics Thermal- Hydraulics Two-Phase Flow Gas Mixtures Mobile Hydraulic Actuation Application Solutions Data Management SysDM
    24. 24. CONTROL MECHANICS HYDRAULICS PNEUMATICS THERMALPOWER ELECTRONICS FEM CONTROL MBS CFD MAGNETIC AMESim positioning in CAx world 3D simulation 1D system simulation LMS Imagine.Lab AMESim
    25. 25. PIDO Control Real Time EM LMS Imagine.Lab AMESim, an Open Platform with… MBS CFD OPTIMUS LMS Virtual.Lab Motion CFX
    26. 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. 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. 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
    29. 29. Example 1: public water regulation valve 30
    30. 30. Example 1: displacements of the two valves, downstream pressure and pressure in the upper chamber 31
    31. 31. Example 1: displacements of the two valves, downstream pressure and pressure in the upper chamber 32
    32. 32. Example 1: Pressure variations 33 variations of the pressure in the pilot valve Downstream pressure for three different nozzle diameters
    33. 33. Example 2: Excavator with planar mechanics
    34. 34. AMESim reference cases
    35. 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. 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. 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. 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. 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
    40. 40. Thank you !

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