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Run end-to-end CFD Mixing Simulations from your Web Browser, mitigating Risk of Batch Failures and costly Project Delays.

CliqScale.R helps you scale your Process right the first Time.

With its lean and intuitive web interface, the native OpenFOAM format, the structured machine learning data, and the visual representations, CliqScale.R is designed to be used by CFD experts, scientists, engineers and lab technicians.

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What is CliqScale.R and how is it different from other solutions?

It enables you to scale up reactors using CFD more easily than ever.

Bringing the most widely used CFD-methodology to the cloud and making it applicable in an easy-to-use way helps to address a very specific and common reactor scaling problem in the pharma and chemical industries.

CliqScale.R provides an instantly accessible alternative to general purpose CFD and CAD packages that run on expensive local workstations, taking days to build reactor geometries and execute repetitive CFD tasks for every scale-up project. With CliqScale.R’s browser-based modeling, you can simply log in and run CFD simulations from anywhere — no need for new software installations, added infrastructure, or extra investment.

This completely transforms the modeling and scaling process. It includes a reactor design suite that allows you to build individual reactors online – in less than one hour. Putting powerful, automated, and industry-approved CFD methodology at your fingertips, you can launch multiple simulations on click and get scale-up-relevant CFD results that help you successfully master your reactor scaling with ease.

As an example, one scale-up iteration with 12 simulations takes no longer than 4 to 12 hours, depending on the selected mesh resolution. It’s like having a CFD expert right by your side.

Easily interpret, process, and share Results

Critical scale-up parameters such as turbulence and shear rates are delivered interpretation-ready and in an open format, fulfilling the prerequisites for data FAIRification, where data must be Findable, Accessible, Iterpoperable and Reusable. 

This allows for straightforward programmatic further processing and sharing amongst project participants and other stakeholders at scale. Visual comparisons between operating conditions make results also easy to interpret for anyone with a scientific or technical background.

Direct comparison to a common on-premises solution

The comparative table is a general comparison and captures various aspects that need to be considered when introducing reactor modeling and evaluating an on-premise or cloud solution. It is intended to help you better assess the associated cost, team performance and strategy implications. 

Workload and time to result
Data & Tech Management
User Qualification requirement

* Representative experience-based procedure with commercial CFD software and appropriate simulation workstation, and in-house coding for scale-up specific post-processing.
** Representative experienced value with commercial software on local machine with 28 cores in a large Pharma company.


What it is: CliqScale.R follows the reduce-to-the-max principle, where simplicity comes first, with respect to scale-up definition, simulation, results sharing and machine learning enablement. It is an industry approved and field tested scale-up CFD automation, made available in the cloud.

What it is not: CliqScale.R is not a general purpose CFD-software package, where arbitrary settings can be made online. However, through the freely downloadable OpenFOAM data, the cases can be further used as a starting point for any local simulation like multiphase or particle laden simulations using the corresponding OpenFOAM solvers.

No. CliqScale.R scales the fluid dynamics and mixing conditions to show and equalize differences between two reactors.

For any fluid dynamics and mixing sensitive process. E.g., in our own and our customers’ experience, 80-90% of the crystallizations can be scaled with the CliqScale.R methodology straightaway. For any additional calculation like sedimentation and homogeneity analysis or detailed mixing times we can support you in an individual project.

OpenFOAM 9, simpleFoam, k-epsilon, snappyHexMesh (hexa-dominant unstructured)

A comprehensive impeller library is available. The enterprise plan allows for impeller library customization.
Yes. The structure and formats support the embedding of the data into an existing filing system according to the FAIR principle.

.json, .stl and OpenFOAM.

Full statistical distributions (histograms) of all flow quantities and percentiles (5,50,95)

Yes, percentiles and distributions can be associated with the reactor configuration, including impeller geometries, operating conditions, and material properties.

Due to the open format, pharmaceutical companies and CDMOs can share the fluid dynamic statistical distributions in advance, streamlining the process transfer.

The definition of the reactor geometries and operating conditions in CliqScale.R is in .json and .stl format. This provides the basis for reactor mapping and retrieving.

The methodology is based on the hypothesis that for similar mixing conditions, similar product outcomes can be expected – independent of reactor type and scale.

A methodology cannot be generically validated but only case by case. However, the methodology is widely accepted and industry-approved.

Many scale-up tools are either based on simple correlations, or on precalculated CFD cases of specific reactors. In the latter case they work within a predefined parameter range using a response surface approach for the output calculation. An indication for this approach is an instant result generation. We consider this first level scale-up support and these tools have their value. However, they also have a big limitation and don’t allow for the simulation of specific reactors. In CliqScale.R, individual models can be built up and simulated with higher degree of detail. This can be considered as second level scale-up support. Also, in CliqScale.R you obtain the full CFD results for more advanced, higher fidelity CFD modeling with OpenFOAM. This enables expert third level scale-up support by default.

Yes, the pharma case study is based on CliqScale.R’s methodology

Yes, you can submit a simple case and we will build it up for you. Additionally, you can try it out for yourself with 5 free trial runs. (no obligation)

Still have questions?


Try CliqScale.R for free

Sign up and get your free trial with 5 runs, including sample data and a tutorial to help you get started.

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