LEAP 71 RP/CEM
A Computational Engineering Model
for Space Propulsion

RP/CEM is a robust Computational Engineering Model for rocket propulsion systems under active development by LEAP 71.

The Computational Engineering Model (CEM) produces a variety of spacecraft components and integrated systems, including injector heads, traditional bell-nozzle type combustion chambers, as well as advanced engines such as aerospike.

RP/CEM uses analytical formulae, heuristics, and condensed aerospace engineering knowledge, all encoded in a coherent algorithmic framework.

RP/CEM allows engineers to go from abstract input specifications such as propellant types, desired thrust, chamber pressure, to a manufacturable engine geometry in minutes. Through a wide set of parameters, designs can be iterated on, physical simulation results fed back, as well as actual testing data, to quickly converge on a validated engine prototype.

LEAP 71 is working with partners on theoretical and physical validation of the designs that are generated by our algorithms. We work with the world’s leading Additive Manufacturing companies to ensure manufacturability.

More:
What is Computational Engineering?
Advantages of Computational Engineering
How we collaborate

Explore

Happy #52 birthday #UAE - let’s build an inspiring and #sustainable future - #madeindubai @miiteuae @dubai #nationalday @cop28uaeofficial

Coaxial swirl injector head created by RP/CEM, our #ComputationalEngineering Model for space propulsion systems.

CT scan of a #heatexchanger designed through #ComputationalEngineering #3dprinted by @aconity3d and scanned by @visiconsult

An impeller created through one of our #ComputationalEngineering models in @picogk

We just released PicoGK v1.1 our open-source framework for #ComputationalEngineering - it includes installers for macOS and Windows.

#copper #heatexchanger #3dprinted by our partner @aconity3d #ComputationalEngineering

Advanced spline-based #lattices created in @picogk

Behind the scenes: the copper and steel part of the #multimaterial metal #aerospike we #3dprinted with the @fraunhofer.igcv

#mutimaterial #metal #3dprinted #aerospike #rocket engine designed through our #ComputationalEngineering Model for space propulsion RP/CEM.

#3dprinted #multimaterial #metal #electricmotor demonstrator created by our #ComputationalEngineering Model for e machines. Thank you @fraunhofer.igcv and @dubaifuture Labs for the fantastic collaboration.

#wip visuals from our #ComputationalEngineering model for #heatexchangers - directly from the @picogk open-source viewer.

#electricmotors are great application for #ComputationalEngineering @picogk

With #cop28 coming up in @dubai - who wants to advance the engineering of cooling systems with us using #ComputationalEngineering?

Great to see all the large format metal 3D Printers coming to the market right now. We have a few interesting use cases. #ComputationalEngineering @picogk #additivemanufacturing

Parameter sweeping a #ComputationalEngineering Model for impellers

Built on #PicoGK

We released our entire foundational technology stack as open source today. PicoGK is a compact and robust geometry kernel for #ConputationalEngineering released under true permissive Apache 2.0 open-source license. Check out the LEAP 71 GitHub to download.

Made with #PicoGK.

Multi-axis robotic metal extrusion systems are an interesting option for producing large metal parts for aerospace.

Pumping #copper - impellers designed through our #ComputationalEngineering Models

Working on #cooling the planet? 🌎 let’s talk #ComputationalEngineering Models for #heatexchangers

Let’s generate some rockets using RP/CEM our #ComputationalEngineering Model for space propulsion

Congratulations to @tiiuae for releasing #AMALLOY the first metal 3D Printing alloy developed in the #uae. Here is one of our rocket injector heads, printed from the material. Designed using our #ComputationalEngineering model for space propulsion systems, RP/CEM. #adastra #3dprinting

How long does it take you to design an #impeller manually? It takes a few seconds using a #ComputationalEngineering model.