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LEAP71 launches Noyron large computational engineering model

Like a human engineer, the software aims to build an object that closely matches the desired functionality, based on distilled expert knowledge

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Dubai-based company LEAP71 is introducing Noyron, its large computational engineering model, which coherently encodes the engineering knowledge that the team gained since the start of the company. Noyron integrates logic, physics, and manufacturing experience into one consistent computational model.

Noyron encodes expert domain knowledge and logic, physics, such as thermal models, rules about manufacturing processes, and related data in one coherent framework for general engineering. It is a proprietary software that constantly grows in capability with every insight gained from designing and manufacturing highly elaborate machinery.

LEAP71 launches Noyron large computational engineering model to build an object based on distilled expert knowledgeNoyron relies on PicoGK, LEAP71’s open-source kernel for the robust creation of complex geometry. It forms the basis of several more specialized Computational Engineering Models (CEM) created by LEAP 71, among them, Noyron RP for rocket motors, Noyron EA for electromagnetic actuation and locomotion, and Noyron HX for heat exchanger design.

One of the key outputs of a Computational Engineering Model (CEM), is the geometry of the generated object. Noyron, however, also attempts to comprehensively predict the performance of the result.

Given a set of input parameters, Noyron will build a design expected to perform correctly. To achieve this, the Computational Engineering Model attempts to accurately infer physical interactions, including mechanical movements, thermal behavior, and other performance parameters.

Like a human engineer, Noyron aims to build an object that closely matches the desired functionality, based on distilled expert knowledge. The observed behavior, whether from real-world tests or simulations, is then fed back into Noyron to continuously improve the system for future iterations, thus aligning the Computational Engineering Model more closely with reality.

Noyron generates output geometry, manufacturing process parameters and files (such as post-processing paths and guide geometry), a summary of predicted performance parameters, numerical fields and physical data for direct transfer to simulation systems.

“But Noyron is a work in progress,” the company said in a statement. “We have built bespoke computational models for our customers on Noyron. We have designed specialized Computational Engineering Models for fields like space propulsion, which are rooted in the base engineering knowledge of Noyron, but also implement very specialized rules for their field.

“Noyron uses PicoGK, our award-winning hashtag#opensource geometry kernel to build the complex shapes that make up our objects. But with Noyron, we are moving beyond geometry, towards a logic- and physics-driven approach to engineering.”

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Davide Sher

Since 2002, Davide has built up extensive experience as a technology journalist, market analyst and consultant for the additive manufacturing industry. Born in Milan, Italy, he spent 12 years in the United States, where he completed his studies at SUNY USB. As a journalist covering the tech and videogame industry for over 10 years, he began covering the AM industry in 2013, first as an international journalist and subsequently as a market analyst, focusing on the additive manufacturing industry and relative vertical markets. In 2016 he co-founded London-based VoxelMatters. Today the company publishes the leading news and insights websites VoxelMatters.com and Replicatore.it, as well as VoxelMatters Directory, the largest global directory of companies in the additive manufacturing industry.

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