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Alloys Intelligence - virtual material development for 3D printing

To design a component optimally, additive manufacturing and the perfect material are required. With BlueSc.AI the era of compromises forced by suboptimal standard materials finally ends. Tell us your requirements and at BlueSc.AI we will calculate the best possible material for your individual purposes using data-driven algorithms and simulations. Fast and cost-efficient. Our sister company Fehrmann ALLOYS, an expert in high-performance and standard alloys for 3D printing, will then produce the finished metal powder for you on the basis of the data.

 

 

 

 

 

 

fehrmann Individuelle Zusammensetzung

Individual composition

Each component is unique in terms of geometry and force flows. Alloys Intelligence from BlueSc.AI makes it possible for the first time to develop a precisely fitting material, i.e. a material matched to the component - individually and optimally for the respective application.

Fehrmann KI Berechnung

Digital twin, calculated by our AI

BlueSc.AI relies on Artificial Intelligence and takes into account the effect and interactions of alloying elements and concentrations, the influences during melting and atomisation, the 3D printing parameters and optional subsequent heat treatments, i.e. the entire 3D printing value chain.

Fehrmann 3D Druck

Simulation - the foundation of 3D printing

With our simulation algorithms, we use the data to calculate the perfect composition of component-specific metal alloys in a cost-saving way and at high speed. In the next step, Fehrmann ALLOYS realises this for the customer.

Data Science

Data Science is the intersection of programming, statistics, and expertise. The aim is to extract new knowledge from large amounts of data using automated computer algorithms ("machine learning"), which then provides measurable economic added value in industrial practice. We support our customers in all aspects, from data generation and analysis to economic application.

Grafik zum Thema Data Science

Grafik zeigt 3D Druck Verfahren

The variety and complexity of the relevant influencing parameters is so great that only BlueSc.AI machine learning supported tools allow for a fast and cost-efficient material development for 3D printing. Thus, the alloying elements and concentrations partly influence each other, powder qualities and thus the performance in the component depend on the melting process and the atomisation process, and last, but not least, the printing parameters such as speed, laser power and the hetch distance play an essential role for a functional component that fulfils the required properties.