Computational Engineering: how a new paradigm will soon change everything - Deepstash
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Computational Engineering:

Everyone knows that the industry is set for something big, and computational engineering design will be the spark that sets it all off.

Computational Engineering (CE) is a new approach to engineering design that massively increases the scale and complexity of designs that engineers are able to invent. Computational Engineering gives a single engineer the power to operate with the resource of a whole team, and gives teams the ability to invent things that we’ve never seen before. Computational Engineering will change the landscape of the industry, in ways we can’t begin to imagine, and it’s going to be very different from what anyone is currently imagining.


29 reads

The rise of the open-source engineering design:

There’s one final piece to every successful transition — the open-source community.

The open-source community helps proliferate innovation, invention and education throughout an industry. Without open-source, we would not have Linux, Android, most cloud technologies, and hundreds of thousands of games. Without video tutorials and content, there would be a fraction of the number of self-taught engineers. In these industries, most new projects today (both hobbyist and enterprise) are built using open-source technologies and Engineering Design will be no different.

The industry is always responsible for products and services, but often the open-source community invents, shares and standardises the core infrastructure we all build on.


26 reads

So what is Computational Engineering?

The transition from Digital Engineering to Computational Engineering will affect all three pillars of engineering: design, validation and manufacture.

We will move from manually drawing pictures of our ideas in CAD, to defining what we want: the computer will do all of the manual execution work in generating the CAD for us.

We will move from setting up and running simulations manually to telling the computer what we want to verify: the computer will set up, run, interpret the simulation results, and suggest changes to improve the design.

We will move from manually programming CNC toolpaths, creating set-up sheets and work instructions, to automated machining and 3D printing.


22 reads



#engineering, #machinelearning and #crypto


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