Hey everyone,

I’m working on a harmonic analysis simulation and have a question about splitting the frequency range.

Let’s say the frequency range I’m analyzing is from 10 Hz to 100 Hz. Instead of running the harmonic simulation for the entire range in one go, is it feasible to split the range into smaller intervals, for example:

• One simulation for 10-50 Hz, and

• Another for 50-100 Hz?

I’m trying to understand if this approach would still provide accurate results or if there are any drawbacks, particularly at the boundaries where the ranges are split. Has anyone used this method in their analysis, and if so, were there any issues with accuracy or continuity?

From my understanding, harmonic analysis calculates the steady-state response at a specific frequency. For example, consider the system at 10 Hz, assuming no damping. We know the equation is:

M(x′′)+k(x)=Fsin⁡(ωt)M(x'') + k(x) = F \sin(\omega t)M(x′′)+k(x)=Fsin(ωt)

Since 10 Hz is the starting frequency, the initial displacement at all nodes would be zero, x(t)=0x(t) = 0x(t)=0. By solving this, we get the response for this frequency.

Now, when the solver moves to 11 Hz, will it assume the initial displacement is zero again, or will it consider the solution from the previous frequency?

I’d appreciate any insights or suggestions regarding the feasibility of splitting the frequency range and how solvers handle initial conditions between different frequencies.

This is more like an open question than a fully formed topic with both question and answer.

I am running an incompressible laminar flow simulation with the pimpleFoam solver. It has two openings on one side (n1 and n2) and one on the other (n3). I have set up the pressure boundary conditions so that the flow is driven primarily by the pressure applied at n3. The flow should be changing direction halfway. Realistically, the total volume passing through an opening should be the same for the two flow direction. Yet, when I sum over the patch flow rates (postProcessing function) of the two flow directions and compare them, they are different. What could be the potential reason(s) for this phenomenon?

Following is the pressure boundary condition I set up:

/*--------------------------------*- C++ -*----------------------------------*\
  =========                 |
  \\      /  F ield         | OpenFOAM: The Open Source CFD Toolbox
   \\    /   O peration     | Website:  https://openfoam.org
    \\  /    A nd           | Version:  10
     \\/     M anipulation  |
\*---------------------------------------------------------------------------*/

FoamFile
{
    version     2.0;
    format      ascii;
    class       volScalarField;
    object      p;
}
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //

dimensions      [0 2 -2 0 0 0 0];

internalField   uniform 0;

boundaryField
{
    n1
	{
		type            totalPressure;
		p0              uniform 0;  // Reference total pressure (e.g., atmospheric pressure in Pascals)
		U               U;               // Velocity field name
		phi             phi;             // Flux field name
		rho             none;            // Density, use 'none' for incompressible flow
		psi             none;            // Compressibility, use 'none' for incompressible flow
		gamma           1;               // For incompressible flow, use 1
	}

	n2
	{
		type            totalPressure;
		p0              uniform 0;  // Reference total pressure
		U               U;
		phi             phi;
		rho             none;
		psi             none;
		gamma           1;
	}


    n3
    {
		type		uniformTotalPressure;
	p0
	{
		type		sine;
		frequency	0.3333333333333333;
		amplitude	-50.0;
		level		0;
	}


    }
    walls
    {
        type            zeroGradient;
    }

    defaultFaces
    {
        type            empty;
    }

}

// ************************************************************************* //



New TCAE 24.03 Release

We're happy to announce the release of the latest version of TCAE simulation software - Version 24.03! 

TCAE continues to be the go-to solution for engineers seeking powerful, user-friendly, and cost-efficient simulation software that can tackle complex engineering challenges with ease.

To introduce you to the exciting features of the new TCAE 24.03, we invite you to join our upcoming webinar. Here are the details:

Title: TCAE 24.03 Introduction

Date: Thu, Apr 11, 2024 

Time: 3:00 PM CEST

Duration: Approximately 1 hour

Agenda:

Overview of TCAE Version 24.03. Live demonstration showcasing the user-friendly interface, advanced features, and fast solvers 

Q&A Session: 

Ask your questions, and our experts will provide answers. Feel free to send your questions in advance to info@cfdsupport.com.

Speakers:

🎤 Lubos Pirkl, Co-Founder at CFD Support 

🛠️ Radek Máca, Head Engineer at CFD Support

Registration: 

Secure your spot now by registering at https://attendee.gotowebinar.com/register/6791084528975214686

Even if you can't attend the live event, register anyway to receive the recording for future viewing at your convenience.

More Information: 

Visit our website to learn more about TCAE and its capabilities: https://www.cfdsupport.com/tcae.html. Explore our publishable benchmarks and real project-based case studies, all of which are transparent and freely downloadable.

With TCAE, you not only gain access to cutting-edge simulation technology but also become a valued member of our community. Benefit from our ongoing support, training resources, and valuable insights to elevate your engineering projects.

Don't miss this opportunity to discover how TCAE Version 24.03 can empower you to overcome your engineering challenges and achieve your design goals.

We look forward to welcoming you to the webinar!

As always. We're one email away!

Best Regards, 

CFD SUPPORT Team

Airfoil Acoustic Benchmark NACA 0012

We are thrilled to announce the launch of our newest engineering simulation benchmark Airfoil Acoustic Benchmark NACA 0012, showcasing the capabilities of our cutting-edge simulation software, TCAE. This benchmark, centered around the NACA 0012 airfoil, delves into the realm of Computational Aero-Acoustics (CAA) and highlights the smooth usability and advanced features of TCAE software.

Access the Airfoil Acoustic Benchmark NACA 0012 case study: To learn more about this benchmark and dive into the details of our study, please visit our website. You'll find comprehensive documentation, detailed results, and insights into the fascinating world of CAA.

Experience the flowing air and vortices around the NACA0012 airfoil firsthand by watching our accompanying YouTube video: https://youtu.be/6mKSCT1-wK4

This video offers a glimpse into the intricate dynamics captured in our simulations including the sound reconstruction!

Join Our Webinar on March 5, 2024: We invite you to join our upcoming webinar where we'll delve deeper into the methodology, results, and implications of this benchmark study. Register now to secure your spot and engage with our team of experts:  https://attendee.gotowebinar.com/register/6369598840280329815

Download the project and run it for yourself: For those eager to explore the project firsthand, the entire benchmark project is available for download on our website. Simply visit our website to access the files and replicate the study in your own environment. 

https://www.cfdsupport.com/naca-0012-acoustic-benchmark.html​​

Thank you for your continued support and interest in our engineering simulation endeavors. We are excited to share this milestone with you and look forward to your participation in our upcoming webinar.

Stay tuned for more exciting updates on the horizon. Together, we'll shape the future of simulation.

As always. We're one email away!

Best Regards, 

CFD SUPPORT Team

Hi everyone

I´m trying to create another equation of state model based on Bussinesq, but when i write "wmake" the next set of errors and warnings are printed in the terminal of OF4Win 20.09:

Can you please give me some help with this problem? Thanks in advance

I am using OpenFoam 20.9 for Windows 10.When i run the motorBike tutorial - no problem .If i use my own stl file which i have used many times on all OpenFoam platforms i get the error u will see in attached file. Once decomposePar has run going to snappyHexMesh those errors show. Also when simulation run the stl file lOpenFOAM for Windows 20.09 (v2)

Hardware for CFD reviewed for 2024! 🚀 Since 2009, we've been on a mission to deliver countless successful CFD projects. Over the years, we've become your trusted go-to source for hardware recommendations that can supercharge your CFD (and FEA) simulations. 🖥️🔥

Our commitment? We keep publishing state-of-the-art hardware configurations on the renowned "Hardware for CFD" platform. To make the cut, two factors are non-negotiable: a) our own rave reviews, and b) an unbeatable performance-to-cost ratio. 💪💰

Ready to turbocharge your simulations? Dive into our latest hardware recommendations at the link below:

🔗 Particular Hardware Recommendations:

https://www.cfdsupport.com/hardware-for-cfd.html 

But wait, there's more! We've got practical insights and comments straight from the experts on LinkedIn. Discover the hardware gems that can take your CFD game to the next level:

💼 Practical Comments

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Don't miss out on this opportunity to optimize your CFD setup for success in 2024 and beyond! 🌐💡

#CFDHardware #Simulation #CFDPerformance #HardwareForCFD

🌀💻 Centrifugal Pump simulation with Cutting-Edge CFD & FEA + FSI Simulations by TCAE! 🚀

In numerous industries, centrifugal pumps are the heartbeat 💓, and enhancing their efficiency leads to major cost savings 💸. Dive into the world of Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), and Fluid-Structure Interaction (FSI) simulations to elevate your pump's performance. 🌊🔧

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🌟 TCAE's all-encompassing CFD, FEA, and FSI services are your key to a more efficient, energy-saving centrifugal pump design. These simulations are not just about performance enhancement; they're about smart savings and extending your pump's lifespan! 💡💚

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#Pump #CFDSimulation #FEAAnalysis #FSISimulation #EnergySavings #TCAE #IndustrialInnovation #EngineeringExcellence #Optimization 🌍🔧📈

AI for CAE

The question isn’t “if” but “how soon”

CAE, or Computer-Aided Engineering (CFD, FEA, FSI, and optimization), is a field that utilizes computer software and tools to deliver the design, analysis, and optimization of engineering systems and components. This field plays a crucial role in industries such as automotive, aerospace, manufacturing, and civil engineering, enabling engineers to make informed decisions and improve the efficiency and reliability of their designs.

With recent developments, seeing how AI (Artificial Intelligence – here I mean rather Machine Learning but only calling it AI to make things easier) is disrupting field by field, everything seems that AI will disrupt the CAE field too. In my humble opinion, it’s just a matter of time and the only question is when (and how exactly) it happens rather than if it happens.

We’re just somewhere at the beginning and it’s even very difficult to say what is going on at the moment – not a mention that it’s impossible to predict what will happen in the future. However, there are a couple of things that we CAN say. 

The thing is, the usual CAE workflow involves a bunch of easy manual tasks and decisions based on data. And AI seems to be perfect for lending a hand with all of that.

https://www.cfdsupport.com/ai-for-cae.html

🔁 Centrifugal Pump CFD & FEA + FSI simulation: 💦🔄🚀

Centrifugal pumps play a critical role in many industries, and optimizing their efficiency can result in significant cost savings. 💰💡

Computational fluid dynamics (CFD), finite element analysis (FEA), and fluid-structure interaction (FSI) simulations can be utilized to simulate the performance of a centrifugal pump and optimize its design. 🖥️📈

CFD simulations help understand the fluid flow inside the pump, identify areas of recirculation, and predict important performance metrics such as head, flow rate, and efficiency. 🌪️💧

FEA simulations analyze the structural integrity of the pump, ensuring it can withstand the stresses and strains of operation. 💪🧪

FSI simulations combine the results of CFD and FEA simulations to provide a more accurate representation of the pump's performance, accounting for the interaction between the fluid and the structure. 🔄🔬

At TCAE, we offer comprehensive CFD, FEA, and FSI simulation services for centrifugal pumps. Our simulations help optimize pump design, reduce energy consumption, and improve overall performance. 💻🚀

By using simulations to optimize the design of a centrifugal pump, companies can save money on energy costs and increase the pump's lifespan. 💰💡

In conclusion, CFD, FEA, and FSI simulations are powerful tools for optimizing the design and performance of centrifugal pumps. TCAE provides comprehensive simulation services to help companies save money, reduce energy consumption, and improve operational efficiency. 💦💪💻

📚 Check out our full case study for more details and download: 

https://www.cfdsupport.com/centrifugal-pump-cfd-fea-fsi-simulation.html

🎥 Watch our YouTube video to see our simulations in action: 

https://youtu.be/MiigTcBQa8Y

🌪️ Centrifugal pump CFD, FEA & FSI Simulation 🌪️

Centrifugal Pump is the hidden workhorse of mankind 🚀. Pumps transport water everywhere where it is needed 💧, and water distribution networks represent one of the largest infrastructure assets of industrial society 🏗️.

The global pump market is expected to grow significantly in the coming years 📈, due to the increasing demand from various end-user sectors, especially the agriculture sector 🌾. According to a report by Fortune Business Insights, the global centrifugal pump market size was USD 29.24 billion in 2020 💰 and is projected to grow from USD 30.56 billion in 2021 to USD 45.56 billion by 2028 📊, exhibiting a CAGR of 5.9% during the forecast period from 2021–2028 📆. Another report by MarketsandMarkets estimates that the global centrifugal pump market will grow from USD 39.7 billion in 2023 to USD 51.5 billion by 2028 🌍, recording a CAGR of 5.4% during the forecast period.

The big issue is that most of the pumps are used in regimes that are far away from their best efficiency points 🤷‍♂️. In total, that leads to wasting huge amounts of electrical energy 💡 which is more than 90% of the total costs of pump ownership 💸. Take a look at how to make a comprehensive CFD, FEA & FSI Simulation of a centrifugal pump by TCAE, to optimize the centrifugal pump efficiency 🚀.

Full Case Study (download available):  🔗📚📥

https://www.cfdsupport.com/centrifugal-pump-cfd-fea-fsi-simulation.html

Ever wanted to be a tiny sand grain zooming through a hydro turbine? 

Buckle up, because the Francis Turbine CFD & FEA + FSI simulation by TCAE is the wildest ride in the hydropower park! Our video straps you onto a sand grain and sends you spiraling through the turbine - it's like a rollercoaster for sediment! Get ready to experience the twists, turns, and, oh yes, the dramatic final splash. It's a unique view of hydropower that's both hilarious and educational. 

Spoiler alert: things get pretty intense for our grainy hero! 

Fasten your seatbelts, it's going to be a bumpy ride!

Check out the full case study (download if you dare):

https://www.cfdsupport.com/francis-turbine-cfd-fea-fsi-simulation.html

And don’t miss the action-packed YouTube video:

https://youtu.be/9ao25PqihzI

Francis Turbine CFD & FEA + FSI benchmark 

TCAE  – the ultimate simulation software for engineers and researchers! A comprehensive simulation environment, based on open source, offers a wide range of analysis capabilities, including CFD, FEA, FSI, and modal analysis.

The following study focuses on the analysis of a Francis turbine, one of the most widely used hydro turbines in the world. This complex analysis takes you step-by-step through the entire simulation process, from preprocessing to advanced CFD & FEA simulations. The study also includes FSI and modal analysis, providing a complete understanding of the turbine's behavior under various operating conditions.

TCAE was used for this analysis, offering users a robust simulation environment with a user-friendly interface. With TCAE, engineers and researchers can easily simulate complex systems and processes, gaining valuable insights into their behavior.

The Francis turbine CFD & FEA + FSI benchmark presented in this study is a validation of a real existing turbine, providing accurate results that can be used for further optimization and improvement. Whether you're working in the energy industry or researching new technologies, TCAE is the perfect simulation software for your needs.

Full Case Study (download available):

https://www.cfdsupport.com/francis-turbine-cfd-fea-fsi-simulation.html

PDF report:

https://www.cfdsupport.com/download/TCFD-CFDSUPPORT-Francis-Turbine-Benchmark.pdf

Kaplan Turbine CFD, FEA, FSI, and Optimization

CFD (Computational Fluid Dynamics), FEA (Finite Element Analysis), and FSI (Fluid-Structure Interaction) simulations are powerful tools for analyzing the performance of hydro turbines.

CFD simulations can be used to predict the fluid flow and pressure patterns in and around a hydro turbine, including the water flows through the turbine blades, the pressure drop across the turbine, and the efficiency of the turbine under different operating conditions.

FEA simulations can be used to analyze the structural integrity of the hydro turbine and its components, including the blades, shafts, and bearings. These simulations can help to identify potential stress and fatigue issues in the turbine and to optimize the design of the turbine for better performance and durability.

FSI simulations can be used to simulate the interaction between the fluid flow and the turbine's structure, which is especially important in hydro turbines because of the large loads and pressures that are generated by the water flow. FSI simulations can help to understand how the turbine's structure deforms and how it affects the fluid flow, as well as how the fluid flow affects the turbine's structure.

Altogether, CFD, FEA, and FSI simulations can provide a comprehensive analysis of a hydro turbine's performance, including its efficiency, structural integrity, and durability, which can be used to optimize its design and improve its performance.

Full Case Study (download available):

https://www.cfdsupport.com/kaplan-turbine-cfd-study.html