# Fluid Thinking

Fluid Thinking is a shared blog that will discuss aspects of thermo-fluid simulation at the system level, with a specific focus on the application of Flowmaster in the aerospace, automotive, defense, energy, and plant & process industries. Ultimately the purpose is to share ideas, pose questions, provide insight, and facilitate discussions that lead to a greater understanding of the 1D computational fluid dynamics arena for all.

5 December, 2016

# Understanding System Interactions with FloMASTER

Have you every had the question when you meet new people, “So what do you do?”

If I am in a group I always hope that I get this last, because there is no better way to end a conversation than to try and explain to non-engineers what system level computational fluid dynamics does for them. Usually I get a, “Oh, that’s cool,” and then they turn away.  The best way I have found to explain it is to drop a few big company names that everyone recognizes, and then tell them it helps in the design of Company A’s fuel system, or Company B’s cooling system.

This keeps everyone in the conversation, but I always feel it greatly undersells how amazing it is that we can predict the behavior of systems using mathematical models.  What surprises me though is when I speak with an engineer, especially one who has done some CFD, and he or she doesn’t know anything about system simulation.  Generally speaking the most common use for CFD that I see is sizing of equipment and this is the case for both 1D and 3D CFD.  There is no question that this is an essential use of software in the design process, but there is another area where system level thermo-fluid CFD like FloMASTER can really shine.

As you get further in your design process and the systems have become defined, it is critical to understand how they will behave under real world scenarios.  This often lends it self to using transient simulation instead of steady state which is often used in the sizing part of the design.  In addition to the transient nature, there is an ever increasing push to understand system interactions in a design. For example, when flying an aircraft the captain decides to increase the temperature by two degrees.  Making this change requires several systems to react together to deliver the warm air to the cabin while still maintaining safe operation of every other pneumatic system on the plane.  This is an area where a tool like FloMASTER can greatly improve the design process, because these scenarios can be tested before any virtual prototypes and help to focus the critical physical tests that do need to be done.

To see more about this topic,  join me for a free webinar Wednesday, December 7th, where we will look multiple sub-systems of an aircraft air management system interacting as a result of user interaction.

Click Below To Register:

Entire Aircraft Air Management System Simulation to Analyze Interactions using 1D CFD

17 November, 2016

# Predicting Electric Vehicle Drive Range Early in the Design Phase Using System Simulation

As we continue to move towards electrification of vehicles, there is a need for software solutions to keep pace.  This was an area of focus at this year’s SAE Thermal Management Systems Symposium or TMSS 2016.

I was lucky enough to have the opportunity to present work that I did recently with one of our marketing partners, EC Power.

The goal of our investigation was to see if we could evaluate the expected drive range of an electric vehicle early in the design phase, using a combination of 1D tools.  In particular, we used Flowmaster from Mentor Graphics to simulate the HVAC and battery cooling air system, SIMULINK from MathWorks® to evaluate the combined systems at the vehicle level, and AutoLION-ST™ from EC Power to model the battery performance and state of charge.  We were able to connect all three of these software packages to run simultaneously in a co-simulation with each evaluating their respective aspects of the vehicle.

With the combined model, several factors that could potentially effect the drive range were chosen, and a design of experiment was created to evaluate the design at three different driver aggressiveness levels, three different cabin set point temperatures, and eight different ambient temperatures.  Overall the results correlated well with data collected by Charged magazine.

For more information on the work done, please take a look at the article in our most recent issue of Engineering Edge, here.

27 October, 2016

# Designing Aircraft Environmental Control Systems with System Level CFD

It’s been a while since I was read, “The Story of Goldilocks and the Three Bears,” but I think like most, the general idea has stayed with me.  In particular the start of the story where Goldilocks finds the three bowls of porridge.  When she tastes the porridge from each bowl she finds one is too hot, one is too cold, and one is just right.

This is often how I feel when I get on an airplane and usually it is all of these feelings on the same flight! Despite this occasional mild discomfort, the systems designed to provide us passengers with air that keeps us even remotely comfortable are impressive engineering accomplishments.  The ability to do this over such varying temperature and pressure conditions both on the ground and 35,000 feet in the air, takes a lot of time and effort.  One of the key tools to designing these systems as quickly and efficiently as possible is CFD, both 1D and 3D.

To discuss some of the important points of designing these system with CFD, I will be hosting a free webinar on November 2nd.  This webinar is the second part of a three part series and will focus on the simulation of the air cycle machines and the bleed air system using Flowmaster.

Click below to register:

Aerospace ECS – Thermo-fluid System Simulation of Air Cycle Machines and Bleed Air Systems

Also if you didn’t get a chance to attend the first webinar where we look at modeling the cabin distribution system, please feel free to view the webinar on-demand, here.

19 June, 2015

# 1D System Simulation – What it Takes to Understand Your Fluid System (Part 1)

Fluid systems have been in existence in the engineering world; from ancient Roman public water systems to modern planes, trains and automobiles. Indeed, it is more correct to say that most modern consumer products are complex systems-of-systems that are a mixture of fluid, mechanical, electrical and control systems with varying degrees of interactions. When considering fluids, the term “Computational Fluid Dynamics” (CFD) has been around for over 40 years and it encompasses a wide range of commercial and in-house 1D, 2D & 3D computer-aided engineering (CAE) simulation software available to engineers today. In an earlier White Paper (1) we dealt with “What is System Level Thermo-Fluid Analysis?” This paper will focus on the 12 “pillars” of thermo-fluid system simulation, or 1D CFD, that are important or critical to good application of these tools.

In the last 15 years there has been huge productivity gains from the use of CFD and Computer-Aided Engineering (CAE) tools and 1D systems simulation software in particular as they have matured. Enabling frameworks such as PLM, Product Lifecycle Management, Mechanical Computer-Aided Design (CAD), and allied simulation tools such as Structural Analysis (or Finite Element Analysis, FEA) have allowed engineers to reach new levels of design and understanding, enabling much better manufactured end products particularly at component and sub-assembly level. A global challenge still exists to extend this knowledge and engineering knowhow to simulate the performance of complete systems and even systems-of-systems at every stage of the design cycle from Upfront Engineering through to Decommissioning.

Engineering thermo-fluid systems simulation products, such as Flowmaster® from Mentor Graphics, take into account the complex combinations of internal flows, thermal and mass transfer effects within a system’s component through 1D empirical or mathematical relationships of pressure drop, flow rate and temperature difference across the component, often based on specific component parameters (e.g. valve position or internal friction).  Consequently, such tools are excellent at gaining an understanding of the effect of a single component on a wider system and how it contributes to the performance of the complete system. They will also predict how the complete system will perform under almost any condition, thus reducing down-stream errors, costly retrofits and rework.

We will now look at the first 4 of the pillars.  These are the “Foundation” or core that all the other pillars are built around.

1  The New Age of Design Exploration

One of the most powerful aspects of using a 1D simulation tool is the versatility of the tools and their adaptability for use at any stage of the design process to explore options for improving the final design and reduce the design cycle. There are three distinct stages of design exploration where these tools can be utilized.

1. Conceptual or Upfront Phase – Exploring Differing Scenarios & Innovating

Once a conceptual thermo-fluid system simulation model is available it can be used to explore a huge range of different scenarios involving pump sizing, pump trip evaluation, surge prediction, flow balancing, component sizing, priming, temperature distribution, flow distribution and pressure drops. Significant system changes may be proposed during the design optimization in order to eliminate potential problems or to optimize performance. In either instance, the system simulation tool enables an engineer to validate his or her proposals and to quantify the potential benefits before making a recommendation to adopt a new design.

Let’s take a typical safety critical 1D thermo-fluid system simulation scenario. Many aircraft fuel systems engineers want to explore the varying pumping options available to transfer fuel between various wing and main body tanks in order to maintain the correct trimming characteristics. Additionally, the ability to examine the capacity of the system to function in an emergency scenario, such as pump failure, needs to be evaluated to allow them to produce designs improved for weight, cost and safety. Ultimately, through 1D CFD, the engineer needs to complete this work before the main aircraft optimization phase where any changes or mistakes are more costly to correct.

1. 2. Interaction Phase – Exploring Interactions between Differing Systems

As components interact within a single system, so too can many different types of systems interact within a complex product. Traditionally the effects of these interactions have only been investigated through physical prototype testing later in the design cycle.  However, with 1D thermo-fluid system simulation tools that can model the various systems concurrently, it is possible to produce a full digital prototype to understand the effects of these interactions at an early stage. You may see many influences between systems, for example some aircraft manufacturers cool hydraulic fluid by passing the pipes through the fuel tanks. With a 1D CFD tool you can examine these influences between your systems very early on to highlight problems in the design process that might only be found at the test stage.

1. 3. Optimization Phase – Design of Components that Meet System Requirements

Understanding the desired performance of the aircraft’s fuel system defines the needs for acceptable component performance; and components can then be selected or designed to meet those needs. There will then be a desire to feed back the performance of the actual components into the 1D system simulation for further verification.  This can be done by inputting more detailed parameters and performance curves into the model.

As the design moves through these distinct phases, the 1D thermo-fluid model becomes more refined and provides more complete answers and allows the engineers to make informed decisions earlier in the process resulting in a better, safer, more complete end product.

2.  Efficient Workflow Processes

Systems Simulation engineers want to ensure that their chosen 1D CFD simulation product can be used efficiently throughout their complete design process from concept to product operation, and it will integrate with all other aspects of their business, right through to their customers and suppliers on a day-to-day basis.

Having a data management structure within a 1D CFD tool that can support a company’s workflow is critical. The system must be flexible enough to provide the different consumers of the data access to the information they need, when they need it, without the chance of it being inadvertently changed or deleted.  It must give the right people the right permissions at the right time.

Tools like Flowmaster bridge the experience gap between “Analysts” and “Designers” by allowing fluid networks to be “locked down” by Analysts and then passed to less specialized Design Engineers who only have access to certain aspects of the design. Parametric and View Only capabilities are available allowing non-analysts users to examine “what-if” scenarios in a secure and controlled environment.

This data management structure gives companies the confidence to allow designers to use analysis tools to make decisions earlier in the process through parametric studies and what-if scenarios on secure models.  This frees up the analysts to concentrate on critical scenarios only, and reduces the bottleneck that can occur in simulation departments.

3.  Leveraging Upfront Analysis

At the early conceptual phase of designing a system, product or process, you will typically have very little geometric data available.  The detail of a given component is likely unavailable and probably unnecessary. Your major requirement is to have some measure (i.e. prediction) of how one or more systems will perform, thereby indicating the performance of the proposed product. Ideally you will want libraries of components populated with pressure loss data, allowing you to build a model of the complete system, which means that you can begin to simulate likely operating conditions with respect to pressure, flow and temperature. This system model actually requires very little geometric data and will, over time, gradually be refined as the design process develops. This is System Simulation with Minimal Data. The cost savings involved with upfront engineering simulation can be three orders of magnitude higher than those seen at the manufacturing stage as witnessed by this graph below from Ricoh:

The Cost of Reliability – fixing mistakes in product design at the early design stage is preferable

The benefits of understanding system requirements early, and upfront, are many and manifest. For instance, process industry companies and ship building organizations usually want to model their piping systems as best they can early in the design process; this will allow them to size specialist pumps and valves etc. enabling the purchasing department to order long lead-time components quickly and accurately.

This is where utilizing 1D CFD can lead to significant savings.  These tools use predefined components that allow the user to construct the fluid systems being designed long before CAD geometry is available.   With 1D CFD you can also be in a position to run powerful sensitivity studies at this early design stage to determine the effects of proposed design possibilities if you have a good system model. For example, tools like

Similarly, in the automotive industry, 1D CFD models of existing automotive cooling systems and those for proposed concept cars are typically created and run in 1D CFD Software toolsin order to troubleshoot problems and learn more about how the systems perform upfront of committing to the design. Such simulations can show that a chosen cooling strategy would not perform acceptably in all operating conditions thus allowing for changes before the first component is tooled.  Without thermo-fluid system simulation these problems may not have been identified until late in the vehicle’s design, prototype testing, or even in operation – meaning an expensive recall with all its attendant costs and adverse publicity. This validation of concepts quickly and upfront with Flowmaster networks for instance that are not CAD geometry dependent is very valuable. 1D CFD simulation will reduce the number of physical prototypes and minimize costly test scenarios

4.  ROI is King!

Justifying expenditure to purchase engineering simulation tools is sometimes a challenge; and producing a detailed Return on Investment (ROI) can be challenging at times. The preference being not to change processes that have worked in the past, processes such as overdesigning pipe systems by 20% for example. Of course, systems designers can do this, but there’s always a cost associated with doing nothing or overdesigning equipment. As manufacturing costs escalate, energy use comes under increased scrutiny, and safety needs to be taken into account more, this is no longer a viable way of working.

Typically thermo-fluid system simulation is one area of a company’s business where detailed knowledge has been difficult to assess in the past, yet it can be critical to improving the design, specification, performance, and cost control of products.  This means a simulation tool that enables engineers to broaden and deepen their understanding of their system or process in order to act upon the information delivered, thereby creating increased business benefits, competitive advantage, and thus helping to maximize potential.

• A thermo-fluid simulation tool should aim to
• Improve time-to-market and design time;
• Enhance quality;
• Reduce product or plant’s risk of malfunction or failure;
• Increase product performance;
• Accelerate innovation;
• Lower design, production, and operational costs;
• Cut the need for physical testing; and
• Realizing productivity gains.

There are numerous case studies that demonstrate the cost savings of effective CFD design processes.  In a paper co-authored by Wayne State University and Ford Motor Company, it is stated that the cost of a single prototype vehicle can cost in excess of \$250,000 and a complex vehicle development program can require over 100 prototypes.   If through use of a 1D thermo-fluid system simulation tool, a single prototype iteration (a 1% reduction) can be eliminated, the company can realize 2 to 5 times return on the investment in the simulation software. In another study by the University of Birmingham, researchers showed that Boeing reduced physical testing costs of the 787 by 30% as compared to the 777 development program through the use of simulation tools.

Using the example of a marine diesel engine lubrication system, one problem facing design engineers would be to understand the oil pump capacity required to supply specific components under differing loads and different temperatures as the viscosity of the oil changes.  1D thermo-fluid system simulation can be used to establish critical information, in particular what will the performance be like under known extremes of manufacturing tolerances or states of wear. Other factors can be dealt with such as, variations in oil flow the bearings will experience as the oil filter becomes blocked, and whether this acceptable for the chosen bearing. Consequently it will aid in determining how frequently the filter have to be changed or if an alternative filter will extend the service interval. The value of the knowledge gained from answers to such questions can be high for these everyday problems for shipbuilders and designers.

10 October, 2014

# What Does a Fluid Systems Engineer do?

Hi I’m Chris and I’m a Fluid Systems Engineer.  I didn’t plan on becoming one on graduating from University and didn’t really know what one did but bluffed my way through an interview and got offered a job working for Flowmaster as a support engineer.  It can be difficult to explain to friends, family and customers exactly what I do and where a tool such as Flowmaster is used beyond ‘Virtual Plumbing’.  I thought my first post on the Fluid Thinking Blog might be a place to start.

When people hear the phrase CFD they immediate think of 3D CFD tools such as FloTherm and FloEFD that are used to model problems in a three dimensional space, this can be either external flow (over and around the object being modelled) or internal flow (confined within the model).  A 1D system tool such as Flowmaster is different, to build a model the user builds a system from a selection of components each modelling the internal flow within a component.  The components are connected together to form a network and the network is then run through a series of scenarios and the results analysed.  The systems modelled are more often than not those you don’t see or think about but don’t want to fail such as the fuel system on an aircraft, the lubrication system in the engine of your car or the cooling system of a power station.  It’s the unglamorous downstairs to 3D CFDs glamorous manor house, alot of work happens but it’s largely unseen.

When someone passes me a picture or diagram and asks ‘How can you model that in Flowmaster?’ the first question I’ll ask is what do you want to use the model for?  Is it for an initial sizing study to specify a pump or heat exchanger, is it looking at how a model reacts with time to external event or what happens if we run the system with a different fluid?  Once I know this I’ll start mentally breaking it down into smaller sections, pipes and valves can be pulled from a catalogue directly but some things may need to be built from a combination of components.  The example below shows how the muffler (silencer) in the exhaust of a car modelling the expansions, baffle plates and contractions into the chambers within it.

This breaking things down into elements from lumping everything into a single loss to breaking it down into smaller elements as was done in this example where more detail is required, this often happens as the project progresses.  An example here would be modelling an aircraft fuel system where you start with a single tank to represent a wing tank in an initial model then breaking it down into individual tanks to represent cells within the wing and looking at the flow between them through a flight cycle. Talking to colleagues who’ve moved from 3D CFD to system simulation this breaking it down into components is stage that takes longest to get a grasp of.

The second question I’ll ask is where I can get the data to characterise the components.  Flowmaster components are pre-loaded with data from Internal Flow Systems that provides a good starting point, however for the best results data for the actual components is needed.  This data might come from the manufacturer, test data or more recently CFD with automated tools built into Flowmaster for the import of data.

As a person with little patience and a short attention span one of the attractions of working with a 1D model is the speed at which you can access results. For a steady state simulation the time from pressing run to get a result is usually measured in seconds, for a transient it’s usually minutes rather than hours.  This speed of results is one advantage over 3D CFD meaning it’s possible to run through many potential configurations in a short period of time quickly to optimise a model.

5 September, 2014

# System Simulation in the Cloud

Do you have an upcoming project and don’t have a tool that can handle system level thermo-fluid analysis? Are you evaluating your current simulation options to make sure they meet the needs of your business for years to come? Are you curious about new ways of solving problems of the world today in particular with the use of CFD?

If you are like most engineers I speak with, the process for getting access to high quality software can be tedious. Even if you are able to get access to a demo version of a tool, the overhead of going through IT to get software installed on your machine or to have the licenses available on the server can easily reduce that precious evaluation time you set aside from a matter of weeks to a matter days. This is hardly enough time to get a good understanding how well a tool can meet your needs.

That’s why Mentor Graphics has launched the Flowmaster Cloud-Based Free Virtual Lab which you can access here.

As part of the Virtual Lab you will have immediate access to all the files and licenses necessary to run Flowmaster from any current PC web browser. It also includes guides and example models to help you construct your first system simulation in Flowmaster while you are at work, home, or even while traveling. With Virtual Lab you now have the ability to evaluate the future benefit you can get from system simulation at your own pace.

Also, if you require access to a 3D CFD solver try out the Virtual Lab for FloEFD, the fastest CFD solution from MCAD model to manufactured product.

14 February, 2014

# What is Fluid Thinking?

Do you know someone who had issues with an automobile overheating or an issue with a sump pump?  What about someone who has flown on an aircraft or even used electricity?

If I had to take a not so wild guess, I would bet that most people out there with the ability to read a blog post would answer yes to at least one of these questions.  This is good because it means you have at least indirectly experienced the potential benefit of using system level thermo-fluid simulation.

Also referred to as 1D computational fluid dynamics (CFD), tools like Flowmaster help engineers in a wide range of industries to better understand how their systems will behave.  If we look at the example above of an automobile overheating, this is a perfect area for thermo-fluid simulation.  From the beginning engineers can start to size the system, selecting the optimal radiator, oil cooler, fan, and other heat exchangers to work with the engine under normal operating conditions.

Once a preferred initial design is selected, the system can be exposed to what-if scenarios beyond its normal operation.  How does the system behave if the fan relay stops working?  What happens if the thermostat gets stuck open?  Exploring critical scenarios such as these earlier in the design process with Flowmaster means companies can get more robust designs put together before building expensive physical prototypes often referred to as system driven design.    Over the design process, this potential means a better final design in a shorter design window with less upfront cost; certainly a win-win for all involved.

This is just one example of where Flowmaster (and system simulation as a whole) has made a difference in the lives of engineers across a wide range of industries.  As the blog continues we will be focusing on different areas where the use of thermo-fluid software in the design process improves the way systems behave and the effect that has on the world as a whole.  We will of course discuss other interesting aspects of engineering and CFD as a whole and I would like to invite you all to be a part of the discussion not only on simulation driven design but on system simulation in general.

### Mentor CFD

Mentor CFD delivers fluid flow and heat transfer simulation solutions that are used to optimize a design created with CAD.

Mentor’s extensive portfolio of CFD software delivers fast, accurate and design centric simulation to global players in many industries, including automotive, electronics, power, process and manufacturing.