Dapta

Engineering

Learn about engineering and simulation workflows.

Dynamic aeroelastic flutter and divergence analysis with Python and Calculix

We add a dynamic aeroelastic stability analysis to our parametric wing analysis, so that we can calculate critical flutter and divergence flight velocities. We extract mass and stiffness information from our CalculiX model and then solve a complex eigenvalue problem with the help of the Scipy sparse matrix library.

dapta brandmark

Fresh look for Dapta(Blade)

Over the last 18 months the company’s focus has changed but the name and logo stayed the same…until now! DaptaBlade was founded 2 years ago to commercialise the Z-beam novel aerodynamic tailoring technology that Olivia developed during her PhD. Olivia was looking to apply that technology to wind turbines, UAV wings and propellers, making “DaptaBlade” …

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Highway 212, Lithonia, United States

On the road to design optimisation

In our first blog post we want to demystify the topic of optimisation in engineering.What is it? Why would we want to use it? What are the challenges for practicing engineers today? If you wanted to implement design optimisation, where should you start? What are the mistakes to avoid? Read on for answers to these …

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lego pilot in plane

3… 2… 1… ignition.

Welcome to the daptablog!  A series on engineering simulation, automation, and collaboration. Boldly going where no engineers have gone before! At Dapta our goal is to help engineers achieve their imagination and build a sustainable world. We’re looking for the tools and methods that enable you to integrate your simulation tools and collaborate with your …

3… 2… 1… ignition. Read More »