Live Webinars Schedule

Solid Edge Portfolio Digital Transformation

Submit the form at the right to register for any or all of the following webinars.

  1. Learn how to manage large assemblies using Solid Edge
    Discover the unmatched techniques of working with large assemblies in Solid Edge. We will show you not only large assemblies opening speed, but the tools and architecture for working efficiently with such datasets.
  2. Seamless integration with Teamcenter Rapid Start data management and Solid Edge
    Take advantage of Teamcenter Rapid Start data management solution which seamlessly integrates with Solid Edge to provide thorough yet efficient management of data. We will showcase how Teamcenter Rapid Start seamlessly integrates with Solid Edge to provide thorough yet efficient management of data. Secure vaulting, lightning fast searches, preconfigured electronic workflows for engineering change control, revision and released management – these features, just to name a few, are available for both design engineers, and management.
  3. Solid Edge simulation & optimization capabilities for designers
    Use embedded Solid Edge Simulation capabilities to optimize your designs and reduce costs associated with overdesign while eliminating liability concerns. We will showcase Solid Edge’s embedded simulation capability for ensuring designs are appropriate for their purpose – strong enough, but not over built, including Design Optimization tool which will automatically optimize your design while you are having a cup of coffee.
  4. Learn how CAM with Solid Edge allows you to quickly develop tools for production machining
    Use CAM to develop tool paths for machining while maintaining associative link to Solid Edge part in case of design changes. We will showcase how Solid Edge and CAM work together to easily create NC Programs for production machining while maintaining associativity between the two environments.
  5. Discover how easy it is to digitally validate your designs with Thermal & Buckling analysis using Solid Edge Simulation
    Use embedded Solid Edge Simulation thermal capabilities to digitally validate your designs and ensure that design requirements are met while the product is not over-designed. We will showcase Solid Edge’s embedded thermal simulation capability for ensuring designs are appropriate for their purpose – temperatures and their effect on stress from the perspective of a design engineer. In addition, webinar will cover Buckling analysis which is a must in case of design stability concerns.
  6. Discover Solid Edge’s Built in data management tool
    Take advantage of Solid Edge built-in Data Management capabilities without any impact on your today’s design workflows while getting all the benefits of a cost-free data management solution. We will focus on Solid Edge built-in Data Management capabilities helping manage fast growing volumes of design data. With features such as unique document numbers, instant searches, and easy revision and release management, completing everyday data management tasks has never been easier.
  7. See how to quickly sketch out your design ideas with Catchbook and bring into Solid Edge
    Use Catchbook to roughly sketch out your design ideas then take advantage of bringing them into Solid Edge for further development. We will showcase Solid Edge and Catchbook working in harmony to bring sketches to three dimensional life. When Catchbook sketches are brought into Solid Edge they can be quickly converted into solid bodies to gain the benefit of a comprehensive 3D design tool.
  8. Techniques for quick capture of design intent, re-use and editing with Solid Edge
    Use synchronous technology in Solid Edge to capture design intent on-the-fly, re-use 3D designs with ease, edit multiple assembly components at once, and make unexpected design changes fast. We will show you how synchronous technology in Solid Edge preserves design intent while making error free edits whether it is Solid Edge native or imported part. It even works on multiple assembly components at once.
  9. Shave time off your design of supporting structures using Solid Edge
    Use Frames and Welding functionality in Solid Edge to design your supporting structures in the most efficient way. We will show you the fastest way of frame creation and manipulation using edges of solid bodies as well as 2D geometry, various welding methods, and automated manufacturing output, such as Cut Lists.
  10. Learn how to quickly and beautifully prepare concept visualization using Solid Edge
    Use Solid Edge Visualization set of tools to communicate a concept, assist sales and marketing, or get customers excited about a new upcoming product before it is even built. We will present a variety of Solid Edge tools for visualizing a product, creating animations, photo-realistic renderings with best-in-class Keyshot technology, and communicating with an outside world using Solid Edge mobile viewers.
  11. Must-know techniques on electrical routing using Solid Edge
    Use Solid Edge electrical routing tools to enable better electrical and mechanical design collaboration and reduce costs associated with stock materials overuse and human errors. We will showcase Solid Edge’s electrical routing capabilities to enable better electrical and mechanical design collaboration, ECAD data import, variety of routing tools and manufacturing outputs, such as Nailboards, Cut Lists, and From-To Lists.
  12. Time saver pipe & tube routing tips with Solid Edge
    Use Solid Edge Pipe & Tube Routing tools to complete designs in the most efficient way and reduce costs associated with the labor-intensive manual design process, stock materials overuse, and human errors. We will showcase a variety of pipe & tube routing tools in Solid Edge, including Piping and Instrumentation Diagramming (P&ID), flexible hose creation, and manufacturing outputs such as Cut Lists, to complete the design.
  13. Using Solid Edge Surfacing capabilities for complex shapes
    Use Solid Edge Surfacing capabilities to aesthetically enhance your existing designs or develop new exciting products. We will cover Solid Edge’s broad collection of surface and solid modelling tools for the creation of complex shapes. You will be surprised how easy it is to incorporate advanced and inspiring shapes into your design using Solid Edge.
  14. Time saving Solid Edge tools for plastic part design
    Use Solid Edge specific tools for plastic parts design instead of labor-intensive manual process and drastically increase your design efficiency. We will showcase a selection of Solid Edge’s tools to assist in designing plastic parts. You will save tremendous amount of time and effort by make use of these tools in your design workflow.
  15. Simplify how you design, model and import data with Solid Edge
    Use synchronous technology in Solid Edge for rapid design, while maintaining parametric control and stress-free collaboration with suppliers and partners. We will show you how synchronous technology in Solid Edge allows concept designs to be modeled as fast as you can conceptualize while maintaining parametric control and editing imported 3D CAD data as native to Solid Edge.

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This webinar series is an informative and comprehensive series of in-depth webinars that explore the capability and functionality of 3D CAD.

Each live webinar includes:

  • A technical presentation/demonstration showcasing the latest 3D CAD technology.
  • A questions & answers section.
  • Event Information On-demand- Duration: 50 MIN
  • Each Webinar includes a DVD trial of Solid Edge Software.

Explore The Solid Edge Capabilities

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Bring your models to life with photo-realistic rendering. Solid Edge offers built-in rendering through integration with Luxion’s KeyShot technology, allowing you to create photo-realistic images and animations from within the modeling environment.

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703, 2019

Why focusing on ICE thermal management to reach emission regulation targets?

“The European automotive industry invests more than €50 billion in R&D annually, a large percentage of which goes towards fuel-efficiency technologies, to meet EU CO2 emission reduction targets thereby complying with NOx and soot standards. However, very few are likely to be able to change the makeup of their fleets fast enough to meet the immediate challenge of the 2021 EU CO₂ emission reduction targets and avoid the significant fines for missing them.” Source: The CO₂ emissions challenge: some carmakers are running late in the race to 2021 -  PA Consulting reportCO2_emissions_reduction_status_vs_targets.jpgCO₂ emission reduction over time against 2017 actual data and 2021 targets

Consequently, to achieve future regulations OEMs and suppliers must innovate in their conventional powertrain design and at the same time come up with competitive alternative propulsion systems as soon as possible. Nevertheless, innovation in conventional powertrains in many instances implies an increase of technology complexity while alternative technologies imply an immediate need of removing uncertainty through rapid system development. Either way, ideally, what OEMs and suppliers would need is to equip themselves with the best engineering tools to accelerate the transformation.  That’s a challenge we at Siemens PLM Software accept: we provide a set of simulation solutions to make virtual design and evaluation of new innovative real.

 

One of the specific innovation areas where OEMs and suppliers can focus on is the thermal management of the internal engine combustion system. Optimizing thermal management of an aftertreatment systems is really a challenge. Indeed, for maximum efficiency (and so satisfying emission rate) aftertreatment systems such as catalysts require specific temperatures to operate efficiently. Using CFD simulation is a way to do a detailed thermal analysis and assess the best powertrain architecture.Engine thermal management analysis using Simcenter Star-CCM+.pngEngine thermal management analysis using Simcenter Star-CCM+

In the on-demand webinar “Optimizing thermal management in modern powertrains using CFD simulation”, Carlo Locci – simulation powertrain application specialist – showcases how using our CFD simulation tool Simcenter STAR-CCM+ can support the thermal management modeling of your engine, and introduces:

  • An innovative technique to predict the thermal interaction between the fluid film and the wall in an SCR. This technique was developed to allow for long transient runs in a Selective Catalytic Reduction (SCR),
  • The most recent developments in this field of Conjugate Heat Transfer (CHT) related to Powertrain problems,
  • Perspectives on heat production modeling for fuel cells.

If you are eager to know more about our whole Simcenter portfolio for powertrain applications, Warren Seeley Simcenter Director of Powertrain gives an overview in the introduction of this online presence.

Register here to access the online webinar: Optimizing thermal management in modern powertrains using CFD simulation 

 

More information on our website:

Engineer innovation with CFD- focused Multiphysics simulation webpage

703, 2019

STAR-CCM+ v12.04: Two mouse clicks? Hold that thought!

Please note: Original publication date 06-29-2017 

 

Just one numerical simulation contains a wealth of information – we can gain a lot of insight on how a device performs, and from that, we can infer how to make that device better. To confidently recommend one design over another, though, we’ll need to run more than one simulation. As our device knowledge is informed through simulation, we can expect to make numerous geometry/part modifications to the original design. How quickly we can turn these changes around will determine how many simulations we can run within our time budget. Without a highly efficient and flexible workflow, we might find ourselves in the position of being less certain of our final product recommendation. Risky. Now, you’ll be hearing a lot soon about Design Manager, a native capability within STAR-CCM+ v12.04® to do design exploration – that’s not this story. Instead, I want to share how just two mouse clicks can now get you quickly from that first simulation to the next one, and to the one after that and the one after that...

 

First, some history. In STAR-CCM+ v9.04, we introduced logic based “Filters”. For example, you could create a Filter to return all the geometry parts that contain the name “chip”. Using your Filter to make your part selection in an Operation saves you the trouble of having to find and select all of these objects in the simulation tree manually. Faster. Less error-prone. Repeatable. Good.

 

But, if you were to then add another “chip” geometry part, you had to go back to your Operation, re-apply your Filter and update your selection. In other words, the part selection wasn’t dynamic. To address this, we delivered "Query-Based Selection" in STAR-CCM+ v10.06. Automatable. Better. But still limited in coverage to just Operations, Displayers and Derived parts. Why is this limiting? Because Regions were statically linked to parts, so if you added, modified or removed parts, you would need to update your part selection for your region manually.

 

This is now a thing of the past. In STAR-CCM+ v12.04 , we’ve extended Query-Based Selection to apply to Regions, Boundaries, Sub-Groups, Interfaces and Reports. Faster. Less error-prone. Repeatable. Automatable. Better still.

 

To show how this can help you, let’s consider the simulation of a packed bed reactor for dry reformation of methane to produce hydrogen gas. These reactors contain randomly packed solid catalyst particles which can be various shapes and sizes:

 

catalyst_particle_shapes_updated.pngExamples of catalyst particles used in packed bed reactors.

Our operating conditions may be fixed to a narrow range, so if we want to improve our reactor performance, the choice of particle size, shape and number is going to be critical. Let’s consider our workflow starting point to be a simulation (with the solution cleared) in which the physics continua (fluid and solid), regions, boundaries, interfaces, reports, scenes and displayers have already been set up. Lets say we want to replace an existing packed bed containing cylindrical shaped particles with seven wedge shaped holes in each (above at far left), with a new packed bed containing smaller tri-lobe shaped particles (above at far right). We’ve got four Query-Based Selections in play that we will use to assign…

 

  1. …any geometry part with a name containing “__particle” to a Unite operation (this was possible in previous versions).
  2. …the Geometry Part generated by the Unite Operation to the solid particle Region.
  3. …all Part Surfaces containing the name “__particle” to a Region Boundary defined in the fluid region and another defined in the solid Region (the same dynamic query is used for both regions).
  4. … all Part Surface Contacts (created when the Volume Extract Operation is run) to Interfaces.

two_click_workflow.pngUse four Query-Based Selections to automate your two mouse click workflow.

Now, with your .sim file set up this way, when you hit the Generate Volume Mesh button on the toolbar, our first of our two mouse clicks, the Mesh Operations pipeline is executed. What you end up with is a .sim file, meshed and ready to go – all Parts to Region assignments are automatically done. The second of our two mouse clicks, hitting the Run button, is almost anticlimactic in comparison. Your simulation starts running and any derived parts, reports and scene displayers that also use Query-Based Selection get automatically updated.

 

unrolled_view_mole_fraction_H2.pngA cylinder derived part (intersecting the packed bed near the reactor wall) is unrolled to compare hydrogen gas production rates between the two packed bed designs.

data_focus_filter_for_site_blockage.pngData Focus highlights areas of higher (in color) compared to lower (grey) catalyst site blockage.

To get the workflow down to two clicks did take some preparation and the methodology does rely on a part naming convention. When does it make sense to go through the extra steps?  If we want to examine just 3 different particle sizes for each particle shape pictured above, that’s 21 different random packed bed geometries; 21 .sim files that can be consistently set up and run; 21 sets of reports and plots and scenes that can be consistently compared in an automated fashion. And, if that isn’t enough of a reason, there are two great new features in STAR-CCM+ v12.04, Replace Assemblies and 3D-CAD Part Synchronization, that also leverage the benefits of Query-Based Selection. The bottom line is this: Some initial preparation to set up your simulation template is the logic based choice. 

703, 2019

The Digitalization of Industrial Machinery

Sparks.jpg

 

Providing realistic virtual simulation 

Throughout the computer-aided engineering (CAE) design process, engineers must balance a variety of critical performance aspects to validate whether the product under development will work as intended. This complex task cannot be based on a test-and-repair approach. Such an approach would lead to expensive iterations on physical hardware. Other unique projects require that the first prototype is the final product. Testing these kinds of products under extreme boundary conditions can have dramatic consequences. 

 

As a result, Siemens PLM Software solutions provides engineers with the necessary tools to conduct upfront analysis for a variety of applications during the design process. To be successful, machine manufacturers must use models to reproduce the complex behavior within the operational environment. Engineers require pinpoint accuracy to understand how structures work and expedite the analysis of new designs for potential modifications that optimize performance.

 

The right solution for any nonlinear application 

Computation of accurate dynamic loads in structural analysis often requires the consideration of nonlinear behaviors. Simcenter Samcef nonlinear motion analysis fully exploits the augmented Lagrangian method and the large-displacement-large-rotation approach to deliver this capability. The software features an extended library of flexible kinematic joints that can be included in FEA. By coupling these joints to super elements and beams, the complete kinematics and dynamics of the system can be simulated.

 

When combined with Simcenter Samcef nonlinear structural analysis, nonlinear and fully meshed components can be included to capture material and geometrical nonlinear structural behavior. Furthermore, Simcenter Samcef can be used to integrate sensors, actuators, and controllers in the simulation. These can be imported from Matlab®/ Simulink® and Simcenter Amesim™ software or preprogrammed in Simcenter Samcef. In that case, the control parameters can be optimized. Simcenter Samcef can also be coupled to Matlab and Simcenter Amesim for co-simulation. This co-simulation capability is done through a dedicated module that enables coupling between different transient solvers. This mechanism is used to connect Simcenter Samcef to the AMRC tool (a research center linked to the University of Sheffield) that provides the cutting forces of the machines.

 

Twin-Control Project 

Twin-Control is a European project (H2020, grant agreement nº 680725) aimed to develop new concepts for machine tools and machining process performance simulation. It is coordinated by IK4-TEKNIKER in Spain, with additional partners Renault, COMAU, MASA, Gepro Systems, ModuleWorks, Artis, Predict, TU Darmstadt, University of Sheffield and Samtech, a Siemens Company, in Liège, Belgium.  

 

In the Twin-Control project, Siemens focuses on the dynamic modeling of machine tools, including its Computer Numeric Control (CNC), and its interaction with the machining process. To properly simulate modern high-speed tools, which show close interactions between the dynamic behavior of the mechanical structure, drives, and the CNC, it is crucial to build models that represent the flexibility of all components and interactions. 

 

Simcenter Samcef Mecano enables accurate modeling of machines by considering FEA modeled components connected by a set of flexible kinematic joints. Models are implemented to deal with drive-trains and motor dynamics. To fully capture the dynamic behavior of the machine tool, force interactions between the cutting tool and the workpiece are also considered in the models. These forces consider the dynamics of the tooltip, combined with the tool work-piece engagement determined by Module Works CAD/CAM for toolpath generation and simulation.

 

As seen in figure 1, a model of the CNC is connected to the machine model by specialized elements that compute motor forces from controller inputs, calling a dynamic library embedding the Matlab Simulink model of this controller. 

 

Figure.pngFigure 1: Coupling scheme

To properly model the machine tools when operating, the following objectives are followed: 

  • Properly account for flexibility of all structural components, connections and feed drive to obtain a model that can represent interior vibrations. The guiding system is modeled by flexible slider elements, which constrain a node to move along a deformable trajectory represented by beam elements. 
  • Limit the number of degrees of freedom (DOF) as much as possible to use the model in the time domain (small time step imposed by the machining simulation module and the controller model). This is done by using a super-element technique. The model contains super-element techniques and can represent the desired levels of vibrations.

The proposed technology is applied to build a flexible multibody mechatronic model of a box-in-box fast machine of project partner COMAU, as seen in Figure 2. This approach provides comprehensive simulation capabilities for virtual machine prototyping in working conditions. 

 

Photo 2.pngFigure 2: A Multibody model of the COMAU machine tool. Courtesy of Comau.

Another example that illustrates this technology is the 5 axes machine from project partner Gepro Systems (shown in Figure 3).

Photo 3.pngFigure 3: A Multibody model of a five axes machine tool with multiple spindles. Courtesy Gepro Systems

An industrial CNC controls the motors of the axes to follow the desired trajectories with minimal error. In the model, all frames are fully flexible, as the rails and screw drivetrains, which are represented by a set of slider elements. The control loops are modeled in MATLAB/Simulink, translated into a dynamic library associated with specific control elements to manage the coupling between 1D models and flexible 3D models.

 

The resulting Twin-Control simulation package is dedicated to both machine tool builders for design activities and machine tool users looking to improve their processes. In both cases, this virtual model will avoid performing costly physical. Simcenter Samcef, coupled with the different modules from our partners, allows building this virtual model in the form of a fully flexible and nonlinear finite element based digital twin.

703, 2019

Blinded by the Obvious

We can all be blinded by the obvious. The number of Dilbert cartoons on the topic is great evidence for how often it happens to all of us.

 

AML-13641_3002297_mutable_color.gif

 

This has been on my mind lately because of a recent experience. About a year ago, my family finally had our kitchen renovated. When we first saw the house before buying it many years ago, I distinctly remember walking in and saying “well, we will need to renovate the kitchen.” But then time slips by and priorities shift. Soon the kitchen that so clearly needed renovating just became our kitchen. Our brains so quickly and easily plaster over the imperfections around us that those imperfections disappear from our perception.

 

On the last day in our old kitchen before renovations started, we took a picture of everyone crammed into the one corner that always seemed to be where everything in the kitchen was located. I found that picture the other day and was struck by what I saw. Was it really that small, that dingy? I found myself slightly embarrassed that we had happily hosted guests for so many years with a kitchen that looked like that!

 

This ability to tune things out that continually bombard us is often rather useful. Just think, that ability allowed me to happily live with a kitchen that desperately needed an update for many years. Imagine how draining it would be to wake up every day and have all the imperfections be as obvious as the day we first toured the home. However, there is also danger in not stopping to reevaluate. It’s possible to go on so long without reevaluation that our perception becomes entirely detached from reality.

 

As simulation engineers, we are especially at risk in this regard. One of the most important aspects of what we do is to determine what is important, what should be included into a model being developed and what can be neglected. Even worse, we must balance the amount of personal and computational effort required to capture a certain piece of physics. We may deem it important, but not so important that we are willing to invest in modeling the phenomenon.

 

One perfect example is the process that goes into designing and modeling a gas turbine such as those used for powering aircraft or generating electricity. These are massive machines that start with tens-of-rows of compressor blades working to create massive amounts of high-pressure air. That air is then mixed with fuel and ignited, producing gasses at even higher pressures and temperatures. All that work is done so that the high-pressure and temperature gasses can rotate turbine blades to extract mechanical energy. The gasses driving those turbine blades are so hot that cold air is pumped through complex internal passageways of the blades and out over their surface just to keep them from being damaged.

 

To simulate a system this complex, the level of physics appropriate for a model depends on how far along the design process we are. For example, when coming up with the right shape for those turbine blades so that they extract the most energy possible, those complex internal passages are usually not included. Conversely, when determining how to most efficiently cool those blades, it is necessary to include that complex internal detail. However, it’s not always so easy to decide what can safely be neglected.

 

Simcenter STAR-CCM+ is particularly strong for modeling complex cases. Modeling conjugate heat transfer, complex geometry, combustion chemistry and unsteady blade-passing effects are some of the common types of analysis done by our gas turbine simulation users.  A streamlined workflow gives unmatched ability to accurately mesh the most complex geometry features while enabling the simulation of complex physics such as combustion, conjugate heat transfer and unsteady flows.

 

Multi-timescale simulation capabilities are now available in Simcenter STAR-CCM+, making it a good time to stop and re-evaluate the tradeoffs being made in our gas turbine simulations. Mixing plane interfaces allow us to model just a single blade passage in each row, which keeps the computational cost down. However, these heavily cooled blades produce distinct cold wakes that wash over the next row of blades downstream.

 

 

Ignoring the impact of these localized, unsteady wakes on blade temperature prediction is common. Until now, many have decided that capturing that effect would require too high a computational cost and so mixing planes have become the standard. At one point, the decision was made to ignore blade-passing effects and deal with the decreased accuracy of the simulation. Now it is an assumption made so often that most are blind to it, not recognizing that there are other options available.

 

Simcenter STAR-CCM+ has been a pioneer in developing harmonic balance simulation capabilities for gas turbine engine simulation for many years. The harmonic balance method allows the unsteady blade-passing effects in the fluid to be modeled at a much lower computational cost than traditional time-domain unsteady simulation. The method takes advantage of the periodic nature of the unsteadiness in the fluid to formulate a much more efficient simulation method.

 

With Simcenter STAR-CCM+ 2019.1, it is now possible to use the harmonic balance solver on the fluid side to capture the unsteady blade-passing effects and the steady solver on the solid side, all within the same simulation. This decoupling of the fluid and solid timescales makes efficient use of computational resources while more accurately representing the physical system. With this time-scale decoupling, it is no longer necessary to assume that the flow-field is steady and to neglect the impact of localized wakes when performing conjugate heat transfer simulations.

 

Simcenter STAR-CCM+ will continue to push the boundaries of what is possible with simulation, tackling the most complex cases, and timescale decoupling is evidence of that progress.

 

In addition to taking on the most complex gas turbine simulation needs, a new initiative has begun for gas turbine simulation with Simcenter STAR-CCM+ that is focused on improving gas turbine simulation for all levels of complexity. Each phase of the design and simulation process have unique challenges. Early in the cycle, flow and thermal predictions must be extremely fast and reliable and provide automatic reporting on the performance of a candidate blade. Later additional geometric and physics complexities are added, and more blade-rows of the machine are simulated simultaneously. Late in the cycle, very large simulations are performed once the design is nearing maturity. Many new capabilities are being brought into Simcenter STAR-CCM+ to help address the unique challenges of gas turbine simulation at each of these design phases. Interaction with design tools, specialized meshing and gas turbine specific post-processing are all on the way. Additionally, with unrivaled abilities to simulate the complex, it will become much easier to mature a given model with additional details as a design progresses.

 

It’s an exciting time for gas turbine simulation. With so many new capabilities, it may be time to reevaluate assumptions and look for blind spots.

 

GasTurbineCHT.jpg

 

703, 2019

Optimizing the design of engine actuation systems using system simulation

“Through model-based development with OEM, we [at Denso] contribute to more advanced powertrain development” Masashi Hayashi - Digital engineering expert for powertrain components design and simulation at Denso Corporation.

 

Developing advanced and innovative powertrain is a complex challenge to meet increasing fuel economy and emission standards. Suppliers and OEM need to work together to accelerate the development of their new vehicle. Interaction and the use of a common methodology such as model-based development adopting a common system simulation platform can be a way to achieve in short lead-time development and innovation targets.

 

Siemens PLM with Simcenter Amesim enables the collaboration between suppliers and OEM, with IP protection and encryption. The advantage on both sides from model sharing is the reciprocal understanding of challenges and benefits. By joining the on-demand webinar “Optimizing the design of engine actuation systems using system simulation” learn how the supplier Denso and the expert Masashi Hayashi analyze an ICE actuation system performances based on OEM requirements using Simcenter Amesim, and assess the benefits from each side.

 

Application case:

How Denso optimize hydraulic Variable Camshaft Timing (VCT) design based on performance specification from OEM?

Masashi Hayashi focuses on the development of hydraulic Variable Camshaft Timing (VCT) using system simulation. The challenge in optimizing hydraulic VCT systems design is to improve engine performance, reduce emissions and increase fuel efficiency compared to engine with fixed camshaft.

 

There are 2 characteristics to be fulfilled and optimized: the VCT speed and stability, in various working conditions (low/high power generation) – based on OEMs requests. Using Simcenter Amesim, the Simcenter system simulation solution, allows validating the correct VCT architecture to satisfy both phase speed and stability.

 

The additional target for Denso as an engine actuator supplier is to use existing legacy/core design data in the simulation model for more design reliability. By watching the webinar discover how Denso simulation reaches the results accuracy allowing to confirm their VCT model design, based on OEM requirements.

 

By watching the webinar discover how Denso simulation reach the results accuracy allowing to confirm their VCT model design, based on OEM requirements.

 

You are eager to know more about other combustion engine actuation systems that you could optimize using Simcenter Amesim? Francesca Furno, our hydraulics expert shows how system simulation easily helps you to tune and improve fuel systems, valvetrains, engine mechanical systems and airpath and exhaust systems and finally the overall vehicle performance. Go deeper into details by watching the live demonstration about Variable Compression Ratio System optimization with Simcenter Amesim at the end of that webinar.

Actuations_system_optimization_webinar.pngSimcenter Amesim for engine acutation systems optimization

703, 2019

Simcenter STAR-CCM+ 2019.1: the Automation Awards

Multidisciplinary design space exploration relies on a robust and automatable framework, capable of seamlessly orchestrating parametric changes, swapping old geometry with new assemblies, and executing the whole CFD pipeline through meshing, solving, and all the way to outputting data. No manual user intervention required!

 

One of the strongest differentiators of Simcenter STAR-CCM+ is that it truly enables complex CFD process automation. Rewinding time, I recall the joys, the wows even, of new Simcenter STAR-CCM+ adopters when they were learning how to swap a design (at the time manually and of a discrete surface) in our famous ‘lock valve’ example, in doing so turning it 30 degrees. That was in our basic training course, and the rest magically unfolded. That was over 10 years ago.

 

Since then, Simcenter STAR-CCM+ has matured tremendously in its native automation capabilities, in most recent years illustrated by the release of automation enablers such as Tags, Filters and Query-Based Selection, as well as Global Parameters. (Building a Better Sim File Part 1, and Part 2.)

 

Simcenter STAR-CCM+ 2019.1 continues to focus on automation with the release of two significant enhancements. If you’re Java shy, you should pay attention because we will be saving you from writing a lot of code going forward. Ultimately, what it means is that you will be freed time to do what you do best: analysing simulation results, deepening your product understanding, and devising creative solutions to improve your design's performance.

 

So, with Awards Season in full swing, Ladies and Gentlemen (queue music!), it’s now time to recognize the best in automation for Simcenter STAR-CCM+ 2019.1. I give to you, the ‘Automation Awards’! 

 

And the winners for ‘Best New (Automation) Actor and Actress’ are:

  • File Parameter for his reinterpretation of the classic ‘Out with the Old, In with the New
  • Parametric Expressions in Coordinates for her marvellous performance in ‘Repeat Me If You Can’

 

 

Let me introduce you first to the new Parameter on the block: File Parameter. He has big shoes to fill, with the seasoned ‘Scalar Parameter’ and ‘Vector Parameter’ winning ‘Best (Automation) Actors’ each year since they came on the scene. But there is a new man in town! File Parameter has just proven himself in this release by being a key instrument to completely automate the process to replace a part in a simulation (inside the Replace Part Geometry Operation), which has earned him the attention of quite a crowd, especially Design Manager. Here is a peek on set: 

 

2019.1-UX-FileParameters3.pngFile Parameter in use in the Replace Part Geometry Operation

Indeed, he has single-handedly allowed Design Manager to automatically sweep through a list of discrete geometry files during an optimization study. Critics will say that it was previously possible to do this with Java scripting, but File Parameter is delivering a process that is faster, much more robust and is able to handle the most sophisticated geometries.

 

For your viewing pleasure, here is File Parameter in action in his reinterpretation of 'Out with the Old, In with the New' in Design Manager: 

 

 

File Parameter is automation savvy, ambitious, and a team player who nicely compliments “Scalar” and “Vector”. You will see much more of him in future productions, as we expect more operations in Simcenter STAR-CCM+ to want to hire him. We’re all looking forward to seeing what he will do next.

 

 

Now, let’s move on to the stellar performance of Parametric Expressions in Coordinates in ‘Repeat Me If You Can’. She instantly broadens the parameter space available for design exploration studies, with the ability to define Coordinate input fields using Scalar or Vector Global Parameter expressions. This lets users create powerful, parametrically-driven solutions that are easy to automate and template, without the need for writing macros.

 

Here is a film still of her in action inside the DFBI 6-DOF initial Center of Mass, where the Position Coordinate is defined from parametric values with the Expression Editor. 

 

ParametricExpressionsInCoordinates.pngEntering a parametric expression for the Center of Mass Position Coordinate field, in the Expression Editor

Other examples of Coordinate fields are those for Transforms, be they graphical, 3D-CAD or Geometry Operations, the Derived Part Plane Section Normal, and the Coordinate System Origin, to name a few. These fields, because they can now be defined from Global Parameters, have become instantly available for optimization studies in Design Manager. 

 

We need to note that Parametric Expressions in Coordinates was also critically acclaimed in Simcenter STAR-CCM+ IdeaStorm with a whopping 7 nominations (ideas), so it should be no surprise that she receives the ‘Best (Automation) Actress’ award for Simcenter STAR-CCM+ 2019.1! 

 

 

This year, we also hand out 'Lifetime (Automation) Achievement Awards' to:

  • Filters and Query-Based Selections, last seen in 'Two mouse clicks? Hold that thought!', for their ruthless commitment to sorting and filtering through your inputs to your simulation set-up process, saving you from having to write Java code to set up your simulations in an automated way. Grouping a series of parts to feed into a boundary following a naming convention or any other logical combination need only be done once, you can then reuse this Filter elsewhere in your Simulation Template for example inside a Scene or as input to a Report. Read more in Building a better sim file - part 2 of 2. Here is the genius mastermind icon to watch out for in your input fields: FilterIcon.png
  • Global Parameters for their role in the blockbuster 'Define Once, Apply Everywhere, Optimize!', now episode 5! With a well built Simulation Template, running simulation variants has never been so easy: change a few parameters, including now the actual CAD file with the help of the new File Parameter, and 'mesh and run' again. With a direct exposure in Design Manager, running an optimization study from these simulation parameters is seamless. Read more in Building a better sim file - part 1 of 2.
  • Tags for their flexibility in grouping objects that may not be logically connected. Tags can even be the only manual step you may need, before executing a well build Simulation Template. Apply a predefined Tag to Parts that need to get assigned the same mesh custom control for instance, and with the Tag already defined as the Filter input to the mesh custom size: you're done. Read more in Building a better sim file - part 1 of 2.

If you're not using these features today in your Simcenter STAR-CCM+ automation strategy, you are missing out. 

 

 

As the adage goes, automation and the ‘end of work’ myth don’t go together. You’ve just been freed for more creative ways to explore your design space (or watch Award Shows!). Automation just happens. It’s in Simcenter STAR-CCM+’s DNA. 

 

(See also Simcenter STAR-CCM+ 2019.1: Handling complex assemblies just got easier)

To become instantly more productive, download Simcenter STAR-CCM+ 2019.1 when released later this month. 

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Learn More About Solid Edge Synchronous Design:

Fast and Flexible Design Creation

With integrated 2D and 3D sketching, Solid Edge synchronous technology allows you to begin your concept designs immediately, without tedious preplanning.
Solid Edge’s history-free approach to 3D CAD means that you can work directly with your design geometry, and make changes instantly.

Even while taking advantage of the design flexibility of direct modeling, the synchronous technology also allows you to maintain control with organized feature trees where needed.

Quick Response to Late-stage Design Changes

When a late stage design change stands between you and a deadline, Solid Edge synchronous technology means that it is easy to make requested changeseven to history-based 3D CAD models.

By simply updating reference dimensions, or pushing and pulling on geometry, you can quickly and easily make changes to any model, without worrying about feature failures, rebuild issues or time-consuming rework.

Editing Imported 3D CAD Data

With Solid Edge synchronous technology, importing a file from another 3D CAD system is as simple as opening it – and editing imported data is just as easy. Simply click and drag features, or add and edit dimensions “on-the-fly”, and Solid Edge will automatically make intelligent updates as if a history tree existed.

The unique power of synchronous technology allows you to easily collaborate with suppliers and partners, and treat multi-CAD data just like native files.

Improved Design Re-use from Other 3D CAD Models

With Solid Edge synchronous technology, you can easily re-use 3D design detail from other models, saving you time and effort when creating new designs.

With just a simple copy and paste, Solid Edge allows you to transfer design detail from one project to another, and treats files in other CAD formats just like they were native Solid Edge files.

Simultaneous Editing of Assembly Multiple Parts

Solid Edge allows you to easily edit multiple parts in an assembly, without time-consuming history-based edits or the nee d to create links between parts.

Synchronous technology allows you to make simultaneous changes by simply selecting and dragging the parts within an assembly.

Testimonials

“Using Solid Edge with synchronous technology I can actually do many more iterations now that I wasn’t able to do before. And because of that, the cost of the product comes down. The weight of the product comes down. The performance goes up. The warranty is a lot longer. Quality loves it. We love it. The profit margin loves it.”
John Winter , Mechanical Engineering Manager, Bird Technologies
“Siemens’ synchronous solver overcomes the order dependencies that have plagued history-based CAD programs by solving for the explicit and inferred constraints at the same time. The synchronous solver doesn’t use a history tree, but rather holds user-defined constraints in groups associated with the surfaces to which they apply…Ultimately, though, I believe this to be a transformative technology – one that represents an important inflection point in the CAD industry. If you hear someone say ‘that’s nothing new,’ don’t believe them. Synchronous technology is a big deal.”
Evan Yares, CAD Industry Analyst
“Synchronous technology breaks through the architectural barrier inherent in a history-based modeling system,” “Depending on model complexity and how far back in the history that edit occurs, users will see dramatic performance gains. A 100 times speed improvement could be a conservative estimate.”
Dr. Ken Versprille, PLM Research Director, CPDA
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