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New AI Software Drives Multi-material 3D Printing for Quantica

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AMR Military

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At Formnext 2023, Quantica, the Berlin-based original equipment manufacturer (OEM) of multi-material inkjet 3D printing platforms, unveiled the commercial version of its foundational printer, the NovoJet OPEN. Now, Quantica has announced MultiSlice, an AI-driven simulation software that enables users to predict the appearance and function of end-use parts before they’re printed.

Quantica collaborated with Additive Appearance, a spin-off of Prague’s Charles University, to develop MultiSlice. The experience of Additive Appearance’s team is based on years of R&D into the algorithms underlying the monumental advances in computer graphics over the last couple of decades.

When the first NovoJet OPEN systems are released in Q1 2024, they will come equipped with MultiSlice. NovoJet OPEN users will be able to see in advance not only the shape of the printed parts they’re designing, but also the appearance and functionality of those parts, as well.

In a press release about Quantica’s development of MultiSlice software with Additive Appearance, Quantica’s Head of Product Management, Grace Chang, said, “Both our companies, embodying the agility of startups, are uniting to redefine the potential of 3D material jetting. In a landscape where functional, multi-material 3D printing lacks adequate software, we are excited to collaborate with a team that is leveraging modern approaches to developing complex software. Our collaborative goal is to leverage these advancements, making functional, multi-material 3D printing more accessible, efficient, and adaptable.”

Tobias Rittig, Ph.D., the chief technology officer at Additive Appearance, said, “With the trend in 3D printing going to more and more printheads, existing software is starting to limit the hardware’s potential. The problem of which material to put in which voxel is getting increasingly difficult. This is why a radically new approach based on cutting-edge research and modern software technologies, such as differentiable computation and machine learning, is required to drive the printers of the future. We both share this realization and are looking to create a synergy of software and hardware that unlocks many new possibilities in the material-jetting domain.”

In April 2023, Quantica landed a €14 million (a little over $15 million) Series A round, which the company used to launch the prototype for the NovoJet OPEN (the C-7), as well as to commercialize the platform. The fact that Quantica is on schedule with both objectives and isn’t taking its foot off the gas pedal hints that it could see an additional, larger funding round in 2024.

Beyond the operational excellence displayed by its ability to execute on time, Quantica deserves serious kudos for such a bold embrace of AI. So, kudos, Quantica! These are the sorts of moves that 3D printing companies need to be making in order for the industry as a whole to stay at the forefront of industrial digitalization.

Above all, the inherent potential of combining AI and materials science should compel everyone in the advanced manufacturing world to make the constant effort to be up-to-date on what’s happening with machine learning, even if it’s not yet a direct component of one’s day-to-day activities. Because if it isn’t yet, it seems inevitable that it will be, very soon.

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