STATISTICAL QUALITY ASSURANCE

STATISTICAL QUALITY ASSURANCE

Meancalc: Cost Optimisation & Quality Assurance for Precision CFD

Meancalc's intelligent run-time control optimises your simulations - eliminating wasted computing costs, ensuring accurate results, and streamlining simulation workflows. Automatically detect and remove initial transients, set statistical accuracy targets.

Let Meancalc handle the rest.

THE STATUS QUO

THE STATUS QUO

Are Your Simulations Costing You Too Much Time and Money?

To stay competitive, engineers are increasingly relying on CFD simulations. However, this raises two critical questions:

  1. How long must the initial simulation phase be ignored before data becomes reliable?

  2. Once steady-state is achieved, how much more data is needed for robust statistics?

Currently, many simulations are run for pre-determined durations based on user estimates, balancing computational costs against accuracy. This approach often leads to inefficiencies, wasted resources, or uncertainties.

Without intelligent runtime control, companies face delays, higher costs, and risks to project outcomes. Here’s a closer look at the challenges teams face daily:

High Costs from Long Runtimes

Fixed simulation times often result in unnecessary HPC usage, driving up costs and straining budgets without guaranteeing accurate results.

Results Skewed by
Initial Transient

Including too much early-stage data in final results distorts statistics (e.g. mean values), and creates unreliable data points that often require rework.

Excessive Energy Consumption

Overextended simulation times waste energy, raising operational costs and increasing environmental impact.

Unknown Statistical Accuracy

Fixed run-time approaches lack real-time statistical control, causing inconsistent accuracy & unreliable results that hinder design decisions.

Inefficient Workflow Management

Without automated run-time adjustments, teams often manually monitor simulations, slowing project timelines and reducing efficiency.

Unknown Statistical Accuracy

Fixed run-time approaches lack real-time statistical control, causing inconsistent accuracy & unreliable results that hinder design decisions.

Inefficient Workflow Management

Without automated run-time adjustments, teams often manually monitor simulations, slowing project timelines and reducing efficiency.

THE SOLUTION - MEANCALC

THE SOLUTION - MEANCALC

THE SOLUTION - MEANCALC

Meancalc. Smart Run-Time Control for Reliable, Cost-Efficient Simulations

Meancalc enhances simulation efficiency using statistical analysis detecting and removing initial transients during post-processing. By adding error bars to mean values, Meancalc ensures valid conclusions are drawn when comparing simulation results.

Meancalc can be embedded into automated workflows to adjust run-time dynamically based on specific accuracy targets. This ensures reliable, high-quality results while eliminating wasted HPC costs and energy.

INSIGHTS

INSIGHTS

INSIGHTS

Automated Transient Detection.

Automated Transient Detection.

Meancalc delivers precise, unbiased results by eliminating early signal transients. Meancalc highlights statistical convergence, estimated errors with confidence intervals, and optional statistical analyses.

PRODUCTIVITY

PRODUCTIVITY

PRODUCTIVITY

Workflow for Dynamic
Run-Time Adjustment

Workflow for Dynamic
Run-Time Adjustment

Efficiency gains by stopping simulations precisely when needed, avoiding unnecessary resource wastage.

Efficiency gains by stopping simulations precisely when needed, avoiding unnecessary resource wastage.

COMPUTATIONAL COSTS

COMPUTATIONAL COSTS

COMPUTATIONAL COSTS

HPC Cost &
Energy Savings.

HPC Cost &
Energy Savings.

Automatically optimise simulation run-time, minimizing HPC costs.

Automatically optimise simulation run-time, minimizing HPC costs.

FEATURES

FEATURES

FEATURES

Features at a Glance

No more costly overruns, distorted data, or endless manual monitoring - Meancalc gives you accurate results, faster, with less stress and HPC wastage.

Automated Transient Detection

Eliminates initial transients automatically, ensuring only relevant data is used for analysis.

Dynamic Run-Time Adjustment

Adapts simulation duration in real time to meet specific statistical accuracy targets, optimising resource use.

Statistical Error Quantification

Quantifies confidence intervals for results, distinguishing real differences from statistical noise.

Cost and Energy Efficiency

Reduces unnecessary simulation time, minimizing HPC costs and energy consumption.

Seamless Integration

Offers a user-friendly API, making it easy to implement with OpenFOAM and other simulation tools.

Flexible Deployment Options

Tailored to fit your unique infrastructure requirements, our solution is available for on-premises deployment. Prefer a SaaS solution? Reach out to explore this option.

INTEGRATIONS

INTEGRATIONS

INTEGRATIONS

Smart integrations at your fingertips!

Smart integrations at your fingertips!

Smart integrations at your fingertips!

Effortless integration with major CAx software tools.

Ready to use Meancalc with your software?

Effortless integration with major CAx software tools.

Ready to use Meancalc with your software?

Effortless integration with major CAx software tools.

Ready to use Meancalc with your software?

OpenFOAM

Available!

Bramble

Coming Soon.

We’ve Got the Answers You’re Looking For

Find clear answers on how Meancalc enhances accuracy, reduces HPC costs, and integrates seamlessly with your CFD workflow.

How does Meancalc work?

Meancalc employs advanced statistical algorithms to analyze simulation time signals, automatically removing transients to focus on steady-state data. It quantifies statistical errors in the mean and standard deviation. When integrated with a running simulation, it periodically checks accuracy, allowing automatic termination once targets are met, ensuring reliable, high-confidence results.

Is Meancalc compatible with my existing software?

Yes, Meancalc is an independent module that analyses time series data output by any simulation software. It integrates seamlessly with OpenFOAM and can be configured to work with other major CFD solvers through a flexible control script, making it an adaptable solution for any workflow.

How does Meancalc improve simulation accuracy?

Meancalc uses statistical analysis to detect and remove initial transients automatically, ensuring that only reliable & valid data is included in the signal analysis. This reduces errors and guarantees high-confidence results with each simulation.

What kind of support do you provide during setup?

Our team offers comprehensive onboarding support, including integration assistance, application-specific best practice guidelines, and access to our customer success team to help you get the most out of Meancalc.

Can Meancalc handle large, complex simulations?

Yes, Meancalc is optimised for high-fidelity CFD simulations, even those requiring extensive computational resources. Meancalc is deployed in production environments by automotive OEMs, in complex research projects involving massive datasets, and for quality assurance in international CFD workshops, and it shows reliability and efficiency in managing complex, unsteady simulations.

What applications can Meancalc be used for?

Meancalc applies to any statistically steady-state problem, regardless of the application or data source. In CFD, it supports methods like DES, LES, RANS, and URANS. While focused on CFD, it’s also useful across scientific and engineering fields, whether data comes from simulations or physical tests, offering significant value when data is costly to produce or highly unsteady.

Do I need coding knowledge to use Meancalc?

No coding knowledge is required as a Meancalc user, once it has been integrated with your simulation workflow. We provide example Python scripts demonstrating how Meancalc integrates with OpenFOAM simulations, which can be adapted to the software you use. We offer integration services to support this.

How does Meancalc work?

Meancalc employs advanced statistical algorithms to analyze simulation time signals, automatically removing transients to focus on steady-state data. It quantifies statistical errors in the mean and standard deviation. When integrated with a running simulation, it periodically checks accuracy, allowing automatic termination once targets are met, ensuring reliable, high-confidence results.

Is Meancalc compatible with my existing software?

Yes, Meancalc is an independent module that analyses time series data output by any simulation software. It integrates seamlessly with OpenFOAM and can be configured to work with other major CFD solvers through a flexible control script, making it an adaptable solution for any workflow.

How does Meancalc improve simulation accuracy?

Meancalc uses statistical analysis to detect and remove initial transients automatically, ensuring that only reliable & valid data is included in the signal analysis. This reduces errors and guarantees high-confidence results with each simulation.

What kind of support do you provide during setup?

Our team offers comprehensive onboarding support, including integration assistance, application-specific best practice guidelines, and access to our customer success team to help you get the most out of Meancalc.

Can Meancalc handle large, complex simulations?

Yes, Meancalc is optimised for high-fidelity CFD simulations, even those requiring extensive computational resources. Meancalc is deployed in production environments by automotive OEMs, in complex research projects involving massive datasets, and for quality assurance in international CFD workshops, and it shows reliability and efficiency in managing complex, unsteady simulations.

What applications can Meancalc be used for?

Meancalc applies to any statistically steady-state problem, regardless of the application or data source. In CFD, it supports methods like DES, LES, RANS, and URANS. While focused on CFD, it’s also useful across scientific and engineering fields, whether data comes from simulations or physical tests, offering significant value when data is costly to produce or highly unsteady.

Do I need coding knowledge to use Meancalc?

No coding knowledge is required as a Meancalc user, once it has been integrated with your simulation workflow. We provide example Python scripts demonstrating how Meancalc integrates with OpenFOAM simulations, which can be adapted to the software you use. We offer integration services to support this.

How does Meancalc work?

Meancalc employs advanced statistical algorithms to analyze simulation time signals, automatically removing transients to focus on steady-state data. It quantifies statistical errors in the mean and standard deviation. When integrated with a running simulation, it periodically checks accuracy, allowing automatic termination once targets are met, ensuring reliable, high-confidence results.

Is Meancalc compatible with my existing software?

Yes, Meancalc is an independent module that analyses time series data output by any simulation software. It integrates seamlessly with OpenFOAM and can be configured to work with other major CFD solvers through a flexible control script, making it an adaptable solution for any workflow.

How does Meancalc improve simulation accuracy?

Meancalc uses statistical analysis to detect and remove initial transients automatically, ensuring that only reliable & valid data is included in the signal analysis. This reduces errors and guarantees high-confidence results with each simulation.

What kind of support do you provide during setup?

Our team offers comprehensive onboarding support, including integration assistance, application-specific best practice guidelines, and access to our customer success team to help you get the most out of Meancalc.

Can Meancalc handle large, complex simulations?

Yes, Meancalc is optimised for high-fidelity CFD simulations, even those requiring extensive computational resources. Meancalc is deployed in production environments by automotive OEMs, in complex research projects involving massive datasets, and for quality assurance in international CFD workshops, and it shows reliability and efficiency in managing complex, unsteady simulations.

What applications can Meancalc be used for?

Meancalc applies to any statistically steady-state problem, regardless of the application or data source. In CFD, it supports methods like DES, LES, RANS, and URANS. While focused on CFD, it’s also useful across scientific and engineering fields, whether data comes from simulations or physical tests, offering significant value when data is costly to produce or highly unsteady.

Do I need coding knowledge to use Meancalc?

No coding knowledge is required as a Meancalc user, once it has been integrated with your simulation workflow. We provide example Python scripts demonstrating how Meancalc integrates with OpenFOAM simulations, which can be adapted to the software you use. We offer integration services to support this.

Ready to Optimise
Your Simulations?

Start your free trial of Meancalc today and experience accurate, cost-effective simulation control firsthand.

Upstream CFD – Proudly built by APEX.

OPENFOAM® is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM software via www.openfoam.com.
See OpenFOAM trademark guidelines for details: https://www.openfoam.com/opencfd-limited-trade-mark-policy

Upstream CFD – Proudly built by APEX.

OPENFOAM® is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM software via www.openfoam.com. See OpenFOAM trademark guidelines for details: https://www.openfoam.com/opencfd-limited-trade-mark-policy

Upstream CFD – Proudly built by APEX.

OPENFOAM® is a registered trade mark of OpenCFD Limited, producer and distributor of the OpenFOAM software via www.openfoam.com.
See OpenFOAM trademark guidelines for details: https://www.openfoam.com/opencfd-limited-trade-mark-policy