Oct 25, 2016, Sebastian Desand

Automated Simulations reduce time to market

The ground breaking algorithms in our model are adaptive and parameter free which enables an automated simulation process as well as reliable estimation of error margin. Our innovation is the result of a spin-off from world leading research conducted over the last decade by a team of researchers at KTH Royal Institute of Technology in Stockholm.

McKinsey has identified rapid experimentation and simulation as one important industry 4.0-lever to shorten time to market in their article Digital in industry: From buzzword to value creation.

The logic is that by introducing simulations earlier in the product design process, bad product design can be eliminated at an earlier stage and the development and design iterations become faster. Thus can time to market be reduced. Flow simulations are complex but extremely valuable. Predicting flow can give an aerospace engineer valuable knowledge on which design minimize the fuel consumption and noise generated from a landing gear, or where an architect should place the ventilation in an office building to achieve the best level of comfort.

But today there is a significant competence threshold to performing simulations. With few exceptions, only experienced CFD-engineers are today able to perform accurate flow simulations for example. And even if design engineers had the competence to conduct a CFD-simulation, the time they would have to invest in this is considerable. It is not unheard of that an experienced CFD-engineer can spend one or several weeks preparing a mesh, refining it after iterations and post-processing the result before even starting to analyze the result of the simulation.

In order to introduce simulations earlier in the design process the cost and competence threshold need to be reduced significantly. This can only be achieved by introducing fully automated flow simulation capability which preferably is integrated into the existing PLM-software (Product Lifecycle Management software) or product design software.

We are currently on the homestretch of developing such capability to the industry. Our solution Automated Flow Prediction enables engineers, product designers and innovators to simulate and compare different designs (and optimize design) early in the design process, without any prior knowledge or experience from CFD. And by eliminating almost all manual steps, the CFD-engineers can use our tool to liberate time from tedious tasks to value creating analysis of the simulation results.

Our user interface is intuitive and extremely easy to use. The simulations are accurate and poweful, with computations performed on a supercomputer. We offer this capability as a flexible SaaS-solution without any need for IT, or educational investments. Simply put: we make simulations easy.

The ground breaking algorithms in our model are adaptive and parameter free which enables an automated simulation process as well as reliable estimation of error margin. Our innovation is the result of a spin-off from world leading research conducted over the last decade by a team of researchers at KTH Royal Institute of Technology in Stockholm.

The method is based on quantitative a posteriori error estimation, which means that the user prescribe what you want to compute and then the mesh is automatically optimized to compute that quantity to a prescribed tolerance with minimal computational cost. This is achieved by solving a so called adjoint problem that connects local errors to the error in this quantity of interest.

If you would like to help us improve our service by providing feedback on functionalities and user interface, then please join our upcoming beta phase (free of charge during the beta). And please do send me an email if you would like to have a chat. We also welcome pilot customers who wish to customize an app in our solution or who need our help solving a specific problem.