Femap Case Study- Consumer Products

ASICS

CAE facilitates design direction and prototype reduction, cutting time for new product development.

Continuous commitment to CAE for a quarter of a century

ASICS Corporation, Institute of Sport Science (ASICS) is very popular in the sports footwear market. This includes both the general consumer and running shoe segments, where ASICS is among the market leaders.

The popularity of ASICS shoes is largely based on their superior functionality, which can be directly attributed to the company’s continuous efforts to improve shoe performance.

One of the major contributors to improved shoe performance has been the aggressive use of computer-aided engineering (CAE). At ASICS, serious commitment to simulation began around 1987.

For 25 years, ASICS professionals – both CAE specialists and other engineers/researchers – have actively utilized various analysis tools. Among these tools, the most significant contributor to performance enhancement has been the use of Femap™software with NX™ Nastran® software.

The CAE effort is led by Dr. Tsuyoshi Nishiwaki, Fellow and senior general manager of ASICS Institute of Sport Science.

Since joining ASICS, Dr. Nishiwaki has strived to implement and deploy the best CAE tools across the product development process.

Before devoting his time to shoe development processes, Dr. Nishiwaki worked on analyzing sporting goods, such as tennis rackets. Dr. Nishiwaki is not only experienced in the use of CAE software, he has personally developed a numerical model that represents the mechanical properties of composite materials.

CAE as a decision-making tool for development direction

Through experience, Dr. Nishiwaki has observed that CAE software is a great tool for decision-making across a number of areas, especially for development direction. He points out, for example, that because of the use of 3D computer-aided design (CAD) in conjunction with Femap with NX Nastran, ASICS has reduced and continues to reduce physical prototypes per project.

He also notes that reducing CO2 emissions is now becoming an important issue at the corporate level, as well as for virtually every manufacturer today. By using CAE early in the development cycle, the production of physical prototypes is significantly reduced, as are CO2 emissions.

“Using CAE effectively to decide product development direction, we estimate we are shortening turnaround by 30 to 35 percent for general development projects,” says Dr. Nishiwaki.

Many CAE users focus on how well analysis results match with experimental results. According to Dr. Nishiwaki, for purposes of shoe design, it is a rare case to have exactly the same results. To do so, all of the required information, such as material properties, constraints and loads must be completely known.

This is particularly true for products like sports shoes, which require factoring in certain physical conditions of the human body, although much of that information is highly variable or unknown.

For example, muscle flexibility/stiffness often varies as a person’s mental state changes. So even if just one of these characteristics is unknown, that often means that one cannot obtain a highly accurate result.

Nevertheless, Dr. Nishiwaki emphasizes how critical it is to use CAE tools to capture the impact of design on shoe performance, explaining that simulation can provide special insight on the design of a shoe’s sole, enabling important decision-making data regarding overall performance to be captured in the early phases of development.

According to Dr. Nishiwaki, it is just this type of use of Femap with NX Nastran that has enabled ASICS to reduce product development time by 30 to 35 percent.

Using subjective metrics to improve objective performance

When Dr. Nishiwaki began his work on sports footwear development, he soon tackled the issue of leveraging subjective metrics using CAE. “Although quite a few biomechanics professionals have been researching human body movement with respect to shoes, these findings weren’t leveraged to improve the shoe development process,” says Dr. Nishiwaki.

To quantify performance metrics that could only be evaluated in physical ways in the past, ASICS established eight domains of functionally: cushioning, stability, flexibility, fitting, durability, grip, weight and ventilation.

ASICS then established metrics within each domain through experiments and hypotheses. For example, to establish metrics for cushioning properties, ASICS hypothesized that such properties are tightly linked to the acceleration of the shin.

Through a series of experiments, the company found that when the sole absorbs low frequency waves, the shoes have better shock-absorbing characteristics. Moreover, with that knowledge in hand, ASICS set about to determine specific cushioning metrics using CAE.

“The design process for shoes is the same, whether it’s for a professional athlete or a casual jogger,” says Dr. Nishiwaki, pointing out, “Actually, shoes for the casual jogger have more performance features.”

According to Dr. Nishiwaki, shoes have two major roles. One is to improve the performance of the user; the other is to protect the user from injury.

For the professional athlete, the second role, protection, is secondary. While protection is meritorious, a professional athlete’s No. 1 priority is to improve performance.

However, for the casual athlete or young person first trying sports, protection from injury is very important.

Moreover, sports shoes for general consumers must serve highly diverse needs, so they must perform well for most individuals.ze in simulation.

Download The PDF Here

Download The PDF Here

High analysis functionality + extraordinary ease-of-use = efficient product development

Dr. Nishiwaki notes that the use of CAE tools by all research and development (R&D) professionals – not just analytical specialists – is essential for efficient product development. However, he adds that ease-of-use is critical to engaging the software’s use by engineers and it is here that Femap with NX Nastran truly stands out, because it’s a powerful analysis tool that’s easy to navigate and satisfies the requirements of a broad spectrum of users.

“Femap with NX Nastran is very easy to use, even if an engineer has little to no experience using numerical analysis tools,” says Dr. Nishiwaki. “After one or two days of training, an engineer can start utilizing CAE on his own. Even a complete novice, an engineer with absolutely no CAE experience, can easily start numerical analysis by importing geometry from 3D CAD software, creating mesh using auto-mesh functionality, then analyzing the optimal depth of grooves in a sole and positioning of gels for shock absorption.”

Dr. Nishiwaki points out that such ease-ofuse is commonly associated with low functionality in analysis software, but that’s simply not the case with Femap with NX Nastran. “There are no issues in convergence; enhancement of the code for nonlinear analysis is exactly as we wished. The solution even has good enough functionality for appropriate use by numerical analysis experts, and we expect the software will get even better for such applications with subsequent releases. We are quite satisfied with the well-balanced functionality and usability of the software.

Femap with NX Nastran has helped us create a more efficient product development process. It is up to us to determine how much we make further use of the software for competitive advantage.” Indeed, ASICS is extending the use of Femap with NX Nastran. It is now deploying the software to its product designers. ASICS excels in terms of shoe performance; however, Dr. Nishiwaki notes that outstanding design is equally essential, particularly for running shoes for the general consumer. “No matter how superior a pair of shoes may be in terms of performance, unless the shoes have high appeal from a design perspective, the reality is, the shoes will not have strong marketability,” he says.

“To develop shoes that satisfy both design and functional requirements, and to develop the best products, we feel that use of analysis tools by our product designers is fundamental to improving our best practices. We are deploying Femap with NX Nastran for this role.”

Analysis software facilitates communication, marketing

Effective communication between engineers and non-engineers across the product development organization has grown since deploying Femap with NX Nastran. Even communication with consumers has improved. “It’s phenomenal…we are now using results from numerical analysis in conjunction with experimental data for promotional purposes, and it’s a valuable asset,” says Dr. Nishiwaki. “By leveraging numerical analyses, the development process can be described in the form of animation. Now, even people unfamiliar with the technology can understand our shoe development process, which helps them understand the science and art behind our ASICS brand. Such content is already used in sales meetings with ASICS distributors and representatives, and even at public seminars for general consumers.”

Ease-of-use and superior capabilities that satisfy even numerical analysis experts represent the distinctive attributes of Femap with NX Nastran. Moreover, these attributes are helping ASICS apply CAE across numerous development domains and projects. The results are valuable benefits at the front-end of design, especially from team members who don’t specialize in simulation.

Learn more about EDGE plm software:

EDGE plm software is a privately owned Australian provider of software solutions aimed at the Engineering and Manufacturing sectors. EDGE has been providing engineering design centric solutions since 2004 with over 500 customers across Australia and New Zealand. Typical solutions from EDGE would include the provision of software, maintenance, support, consulting and training services.

The EDGE software portfolio includes CAD, CAM, FEA & PDM solutions and EDGE fully supports and offers training and mentoring services on its entire portfolio. EDGE has been a business partner of UGS/Siemens since 2004. EDGE also configures and sells Dell hardware to assist our customers maximise their software investments. Read more about us…

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Bridging the timescale gap in CHT applications

It’s Sunday afternoon and I am pottering about in the kitchen cooking a Sunday roast. From the living room, I can hear my two children bickering about what they are going to play with. “Why don’t we play with Lego?” says the one. ”I want to play superheroes!” says the other. My husband is, unsuccessfully, trying to reason with them and get them to play together while at the same time sorting some paperwork. This is a typical weekend day for us. Everyone busy, on their own timescale, you could say, but trying to be together as a family. After all, isn’t that what the weekend is all about?

 

“Lunch is ready” I call from the kitchen, “time to set the table”. They both rush in, still continuing to talk over each other about the preferred game. We finally, sit around the table and the conversation turns more amiable. Now, we are talking about passing potatoes and veg and who wants which part of the chicken. Everyone agrees, the food is yummy!

 

In physics, as in life, not all processes are on the same timescale. In conjugate heat transfer (CHT) simulations that involve fluids and solids, they can actually be very different. Typically, fluids have fast transients and solids show slow temperature changes for longer periods. Accurate prediction of temperatures in solid components require long simulation times and it is essential for predicting thermal fatigue life. Such cases are turbine blades or engine blocks over the course of a typical use cycle. The challenge in these cases where we have large differences in time scale between fluids and solids is the large, almost prohibitive, computational cost.

 

The little Sunday routine of ours and its effect on our family life makes me think of this very issue and the new single simulation multi-timescale workflow for CHT introduced in Simcenter STAR-CCM+ v13.06. The new workflow introduces various features with the aim to eliminate the use of complicated macros. In Simcenter STAR-CCM+ v13.02 we introduced dedicated reports for fluid and solid and in Simcenter STAR-CCM+ v13.04 we improved the definition of Total Heat Flux to account for cases where radiation is turned on the fluid. And in this version, Simcenter STAR-CCM+ v13.06, we are introducing two additional very important features, an explicit mapped contact interface and solver specific stopping criteria.

 

The new explicit fluid-to-solid mapping links the different timescales by passing the right physical quantities, taking radiation and other thermal effects into consideration. In the case of transient flows, an efficient averaging mechanism can be employed on the thermal properties. It also enables coupling with the Finite Element solid energy solver also released in Simcenter STAR-CCM+ v13.06. This mainstreams multi-scale CHT simulations and eliminates user error. 

 

Related to this, the latest version also provides new solver-specific stopping criteria to aid simulations that run multiple solvers consecutively. Previous stopping criteria were shared by solvers, forcing users to write lengthy macros to change the values when switching solvers. Simcenter STAR-CCM+ v13.06 moves the ownership of stopping criteria from the user to the solvers and introduces fixed stopping criteria in a “delta” sense enabling automation and consecutive multiple solver iterations. This means that in a multi-timescale simulation the fixed number of iterations will run will run without manual interaction, every time the continua is activated.

 

The case used here to demonstrate the functionality is an exhaust manifold with the heat shield included. It’s a case of heating up the engine up to a certain temperature. Those simulations can take up a lot of time as the solid might take a few minutes to heat up while the fluid, if run transient, needs a time step of about 1e-4 to converge. In this case for simplicity we run the fluid as steady.

 

Use of solver specific stopping criteria takes advantage of the faster convergence of the fluid as simulation progresses, so fewer exchanges are needed. Several stopping criteria are used to trigger a rerun of the fluid. What's particularly nice with this set-up, is that the expensive fluid part of the simulation is initially using more iterations but as the simulation progresses the number of fluid iterations required to converge to the monitor-based stopping criteria is significantly reduced. It is obvious that the new solver-based stopping criteria provide the user with easy access to tools that enable speed up of expensive CHT simulations.

 

 

In the animation you can see the temperature changes with time. The vertical lines signify a fluid run. Exchange is happening through the explicit mapped contact interface when the solid temperature shows a certain delta of temperature. This way we make sure we don’t exchange when it is not needed, and the explicit mapped contact interface takes care of the averaging ensuring accurate passing of information either side.

 

Which brings me back to my family lunch on that beautiful Sunday afternoon. Makes me think of how a family lunch can bring us all together, just like the explicit mapped contact interface, and how we all need to have our very own control of our time. Lunch is now finished, and we are tidying-up. As we are finishing putting the plates away I can hear them laughing. “Let’s make superheroes with Lego” they say to each other and wander off happily.

 

 

dBirO56.jpg

 

The Multibody Dynamics of Bolts

Have you ever wondered about the physics of a roller coaster?

Or thought about how strong the bolts and joints have to be to withstand the impact of the racing cart. They better be strong if people are ridding them, otherwise, there will be life-threatening consequences. The same goes for the vehicles we drive. The bolted joints are exposed to dynamic structural loads and constant vibrations daily. One loose joint could not only be extremely costly but more importantly, could put someone's life in danger. That is why it is of the utmost importance to develop safe, reliable joint solutions. This is nothing to be concerned about because innovative technology is helping many companies determine the likely causes of joint failures and help secure them.

 

nord lock.png

 

We have established that joints are important. That is why Nord-Lock made it their goal to "provide maximum security for bolted joints." As mentioned above, innovative technology has made it so we reduce the reliance we have on physical testing. Nord Lock made this possible by adopting Simcenter 3D and NX Nastran to stay ahead of the game. Using Simcenter 3D motion software, Nord Lock is able to analyze stress states such as deformation, movement in joints, provide precision and reliability of NX Nastran solver and management of CAD. These simulations allow Nord-Lock to gain insight and validate internal business rules. For example, Simcenter is used to investigate failure situations. The weakness in joints generally have two main sources:

 

  1. Spontaneous loosening caused by vibrations and dynamic loading effects
  2. Slacking from preload loss as a result of settling and relaxation

Nord-Lock turned to digital technology as an alternative to physical testing which has helped them test both giant and small structures.

 

"We particularly appreciate the teams business expertise, their extensive knowledge of THE software and their availability." -Zouhair Chaib

 

Read the full case study here!

 

To learn more about what the experts at Nord-Lock Group have to say watch this video:

 

Simcenter Amesim 17: top 5 capabilities

We are proud to introduce Simcenter Amesim 17

 

Simcenter-Amesim-17-Boost_system-simulation-efficiency.pngThe latest release will help you increase system simulation efficiency through a seamless process integration, maximum modeling accuracy and easy access to digital twins.

 

Among many other enhancements, major development efforts have been put to help you address 5 key applications:

  • Electrification
  • Controls engineering
  • Vehicle systems and components performance engineering
  • Aircraft systems performance engineering
  • Interoperability

Discover Simcenter Amesim 17 in a nutshell:

 

 

Let us walk you through the main new capabilities. 

 

Electrification

 

  • Import of electric motor characteristics from Simcenter SPEED
  • Expansion of air conditioning system capabilities for battery cooling
  • Battery thermal run-away modeling and battery pre-sizing tool
  • Hybrid and electric vehicle model templates

In 10 years, hybrid and electric vehicles could represent about half of the automotive fleet. That’s why there have been major development efforts to support electrification. With the newest version, you can automatically import motor characteristics from the Simcenter SPEED electric motor design software and assess electric powertrain performance early in the development cycle. 

 

 

To safeguard proper battery operating conditions, you can link the battery cooling system with the air conditioning system. The new brazed plate heat exchanger component helps you easily check the capability of the cooling system to manage the battery and cabin thermal operation.

 

Further, for electric and hybrid vehicle design, Simcenter Amesim 17 comes with ready-to-use templates to assess consumption, range, cooling and drivability. These templates provide a good starting point for vehicle electrification projects by delivering parameter consistency and detailed internal combustion engine, transmission, electric drive, battery and cabin cooling subsystems models.

 

Controls engineering

 

  • Upgraded signal bus capability and statechart management
  • Cooling system functional components
  • Real-time compatible components in the fluid component design libraries
  • Tunable parameters for FMI 2.0 export

Controls engineering.pngIn the context of software-intensive products, Simcenter Amesim 17 offers new plant modeling capabilities to support controls design, validation and calibration. For instance, the signal bus feature has been reworked to optimize central processing unit (CPU) performance and the user experience. When modeling control units, you can now easily create, edit and manage supercomponents containing statecharts.

 

Additionally, the release comes with real-time compatible components for automotive cooling system design as well as for hydraulic, thermal-hydraulic and pneumatic component design.

 

 

Vehicle systems and components performance engineering

 

  • Exhaust calibration tool including optimization features
  • Engine manifold design study through full coupling with Simcenter STAR-CCM+
  • Kinematics and Compliance data generator
  • Cam profile definition from the valve lift
  • Hypoid gear component
  • Extended modeling capabilities for vane and gerotor pumps

For conventional and hybrid vehicles, a broad set of new capabilities in Simcenter Amesim 17 will help to tackle critical challenges, such as the real driving emissions (RDE) or Worldwide  harmonized Light vehicles Test Cycles (WLTC) standards. Among them, the exhaust calibration tool now enables accelerated test data import, batch processing and automated optimization of model calibration. 

 

 

Moreover, by coupling Simcenter Amesim with Simcenter STAR-CCM+, you can efficiently run an engine design study for operating points of interest. This allows you to assess intake line acoustics or the impact of manifold geometry on performance.

 

 

Aircraft systems performance engineering

 

  • Intuitive and detailed jet engine performance analysis
  • Fuel systems and flight dynamics coupling
  • Fuel tank mapping from CAD
  • Model templates for landing gear and flap systems

In support of the aerospace and defense industry, Simcenter Amesim 17 offers unique virtual integrated aircraft (VIA) capabilities to frontload system integration, electrify propulsion systems and streamline jet engine design. It enables rapid modeling of compressors and turbines with variable geometry as well as assessing mixture composition corrections and degradation performance.

 

Since fuel represents a large portion of the aircraft weight, it is critical to understand its impact on handling qualities. You can now quickly assess the aircraft mass balance and trajectory while accounting for its tight coupling with the fuel system.

 

 

Moreover, Simcenter Amesim now enables you to generate fuel tank maps from CAD geometry. Therefore, you can extract the fuel inertia tensor for coupling with flight dynamics, and tank wet areas for thermal management optimization.

 

Interoperability

 

  • Embedded Simcenter STAR-CCM+ technology for enhanced cabin air flow modeling
  • Ego vehicle modeling for ADAS/AD validation with Simcenter Prescan
  • Simcenter Amesim - Simcenter Flomaster co-simulation
  • Model-based system testing through interoperability with Simcenter Testlab Neo software
  • Direct access to Teamcenter workflows in Simcenter Amesim

 

To enable seamless process integration and maximize modeling accuracy, Simcenter Amesim 17 further extends synergies within the Simcenter portfolio.

 

For instance, a tight link with Simcenter STAR-CCM+ allows capturing internal 3D flows in the car cabin to rapidly optimize thermal comfort.

  Interoperability.png

 

   

For autonomous vehicle validation, the integration with Simcenter Prescan enables you to accurately capture the ego vehicle’s behavior in terms of ride, handling and fuel economy.

 

 

 

In addition, a direct connection between Simcenter Amesim and Teamcenter helps improve traceability: you can now easily manage different versions of Simcenter Amesim libraries within Teamcenter.

 

 

 

Stay tuned

 

Later this week we will introduce you to Simcenter Webapp Server, an easy-to-use and cost-effective web-based solution which will help deploy system simulation throughout your company.

Plus, don’t miss our blog post on new capabilities of Simcenter Embedded Software Designer 17.

 

Download Simcenter Amesim 17

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Discuss with your peers and our experts on the System Simulation Forum

Webinar: Get on top of your game with the newest TPA methods

When I first joined Siemens PLM Software, Dirk De Vis, Vice-President of Simcenter Engineering and Consulting services, explained me the different types of projects his engineering team executes. Before anything else, he put a glass of water on the table and slammed his fist on the table. Obviously, the water was disturbed, splashing over the edge of the glass. My first notion of the source-transfer-receiver approach…

 

As you understand from this example, a noise and vibration issue originates from a source, which is transferred via one (or more) transfer paths to a given receiver location. Transfer path analysis, or in short TPA, is a methodical approach to vibro-acoustic design. It enables you to quantify the various sources and their paths, figure out which are important, which contribute to the noise issues and which ones cancel each other out.

 

The source-transfer-receiver concept nor TPA approach are new. All over the world, automotive engineers apply it to investigate and understand a product’s noise, vibration & harshness (NVH) performance. Different TPA methods are available: test-based and/or simulation-based. The preferred methodology depends on the structure, single or multi-reference sources, and the stage of the development.

 

Although, traditional approaches to transfer path analysis such as: airborne loads estimation, acoustic source quantification, structure-borne loads estimation, multi-reference TPA and energetic power-based ASQ are still relevant and widely employed, new methods are being developed.

Main-visual-TPA-webinar.jpgLatest technologies to quantify the various sources and their contributions to noise and vibrations.At Simcenter, you’ll find engineers with unparalleled NVH experience. And they don’t sit still. New methodologies are being tried out and, if successful, integrated in the daily work and projects. If our customers agree? Absolutely!

 

Customers on top of their game!

Faster results, more accurate, better product refinement, and as a consequence faster troubleshooting at reduced cost, our customers are on top of their game. They apply TPA to benchmarking and target setting, vehicle development and pass-by noise engineering. Additionally, these new TPA methods empower suppliers to predict how their system will perform not just in one vehicle, but in a whole series of different variants. Component-based TPA using blocked forces is a prime example of how new TPA methodologies put the relationship between OEMs and suppliers in a completely new perspective.

 

On November 20, Automotive Solution Manager and NVH expert, Steven Dom, presents a live webinar: Better & faster vehicle NVH insights using the latest transfer path analysis methods. He will explain the range of methods from traditional mount stiffness and matrix inversion approaches over OPAX, strain-based TPA and time-domain TPA to model-based TPA and component-based TPA, illustrated with application examples.

STeven-Dom-quote-blocked-forces.jpg

 

Register here for the webinar and learn how to:

  • Obtain an overview of the different TPA methodologies and their applications
  • Improve road noise and comfort using strain sensors
  • Investigate transient effects applying time-domain and model-based TPA
  • Predict NVH behavior of source-components before integration using component-based TPA
     

Live webinar: Better & faster vehicle NVH insights using the latest transfer path analysis methods

https://www.plm.automation.siemens.com/global/en/webinar/transfer-path-analysis-tpa/44276

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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