3D Printing ProcessesAM ResearchMulti-material 3D printingResearch & Education

Inkbit, MIT and ETH collaborate on multi-material VCJ printing

A more advanced version of the company's AI-driven inkjet printing technology can produce complex functional structures in a single run

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Researchers from MIT, the MIT spinout Inkbit, and ETH Zurich have developed a new 3D inkjet printing system that works with a much wider range of materials. Their printer utilizes Inkbit’s vision-controlled jetting (VJC) technology which leverages computer vision to automatically scan the 3D printing surface and adjust the amount of resin each nozzle deposits in real-time to ensure no areas have too much or too little material.

Since it does not require mechanical parts to smooth the resin, this contactless system works with materials that cure more slowly than the acrylates which are traditionally used in 3D printing. Some slower-curing material chemistries can offer improved performance over acrylates, such as greater elasticity, durability, or longevity.

In addition, the automatic system makes adjustments without stopping or slowing the printing process, making this production-grade printer about 660 times faster than a comparable 3D inkjet printing system.

The researchers used this printer to create complex, robotic devices that combine soft and rigid materials. For example, they made a completely 3D printed robotic gripper shaped like a human hand and controlled by a set of reinforced, yet flexible, tendons.

“Our key insight here was to develop a machine-vision system and completely active feedback loop. This is almost like endowing a printer with a set of eyes and a brain, where the eyes observe what is being printed, and then the brain of the machine directs it as to what should be printed next,” said co-corresponding author Wojciech Matusik, a professor of electrical engineering and computer science at MIT who leads the Computational Design and Fabrication Group within the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

He is joined on the paper by lead author Thomas Buchner, a doctoral student at ETH Zurich, co-corresponding author Robert Katzschmann PhD ’18, assistant professor of robotics who leads the Soft Robotics Laboratory at ETH Zurich; as well as others at ETH Zurich and Inkbit. The research appeared in Nature.

A more advanced version of AI-driven inkjet VCJ technology from Inkbit and MIT can produce complex functional structures in a single run
The researchers used their printing system to create complex, robotic devices that combine soft and rigid materials. Since the printer has 16,000 nozzles, the system can control fine details of the device being fabricated. This rendering shows objects that have been halfway built by the printer. Credit: courtesy of the researchers

Intelligent Inkjet

With 3D inkjet printing systems, engineers can fabricate hybrid structures that have soft and rigid components, like robotic grippers that are strong enough to grasp heavy objects but soft enough to interact safely with humans.

The conceptualization and design of the CAD model for the 3D printed robotic hand was created by Moon Rabbit Adaptive Lab. “The model went through several design iterations to optimize the 3D printing process. To facilitate this, a grasshopper workflow was developed, which allowed it to iterate swiftly and fine-tune various aspects of the hand, including tendon guides, joint capsules, and inner material interfaces,” said Jesus Marini Parissi, Computational Design Engineer at Moon Rabbit Adaptive Lab, whose main goal was the inclusion of as many realistic human hand elements as possible.

These multi-material 3D printing systems utilize thousands of nozzles to deposit tiny droplets of resin, which are smoothed with a scraper or roller and cured with UV light. But the smoothing process could squish or smear resins that cure slowly, limiting the types of materials that can be used.

This paper from ETH, Inkbit and MIT builds off a low-cost, multimaterial 3D printer known as MultiFab that the researchers introduced in 2015 (which eventually led to Inkbit’s current systems). By utilizing thousands of nozzles to deposit tiny droplets of resin that are UV-cured, MultiFab enabled high-resolution 3D printing with up to 10 materials at once.

A more advanced version of AI-driven inkjet VCJ technology from Inkbit and MIT can produce complex functional structures in a single run
Researchers produced a functional, tendon-driven robotic hand that has 19 independently actuatable tendons, soft fingers with sensor pads, and rigid, load-bearing bones. Credit: courtesy of the researchers.

With this new project, the researchers sought a contactless process that would expand the range of materials they could use to fabricate more complex devices.

They developed a technique, known as vision-controlled jetting (VJC), which utilizes four high-frame-rate cameras and two lasers that rapidly and continuously scan the print surface. The cameras capture images as thousands of nozzles deposit tiny droplets of resin.

How Inkbit’s VCJ is changing AM to the core

Inkbit, a pioneer in advanced additive manufacturing solutions, has been leveraging VJC technology commercially in the InkbitVista system to produce parts using state-of-the-art, durable materials. However, these are still single material parts. The study from ETH, Inkbit and MIT on “Vision-Controlled Jetting for Composite Systems and Robots,” demonstrates how VCJ opens a new frontier in manufacturing, by expanding Inkbit’s capabilities to recreate synthetically the intricate structure and functionality of natural organisms.

Thus VCJ offers, for the first time, the ability to accurately fabricate complex, multi-functional systems in a single print, without the need to assemble subcomponents. “Our VCJ technology is a qualitative change in the field of additive manufacturing,” said Davide Marini, CEO, of Inkbit. “We are closing the gap between the elegantly sophisticated structures we admire in nature and our ability to replicate them synthetically. This isn’t just a step forward; it’s a leap into a new era of manufacturing.”

A more advanced version of AI-driven inkjet VCJ technology from Inkbit and MIT can produce complex functional structures in a single run
A rendering shows the printing process of the robotic hand, with white spheres representing the material used by the printer. Image credits: Moritz Hocher

Inkbit’s VCJ technology originated from traditional inkjet 3D printing, and now takes it to a whole new level by integrating an AI-enabled 3D computer vision scanning system that captures the print geometry of each layer in real-time. This digital closed-loop feedback control operation eliminates the need for mechanical planarizers and enables printing with slow-cure chemistries that build the polymer chain more precisely. As a result, VCJ can directly print intricate, multi-material parts in a wide range of mechanical properties with accuracy and precision.

The practical applications of this technology are vast. VCJ not only enhances the resolution and functional capabilities of printed components; it also enables the fabrication of intricate internal networks of channels and cavities to carry signals, power or fluids through the structure. With VCJ, it is now possible to directly fabricate sophisticated, multi-functional systems capable of performing complex physical tasks at scale. To demonstrate VCJ’s capabilities, the authors of the Nature article printed a variety of complex systems, such as: a tendon-driven hand modeled from MRI data, a pneumatically actuated walking manipulator, a pump mimicking a heart, and novel metamaterial structures.

“With Inkbit’s VJC technology and materials, for the first time, we were able to print something as complex as a robotic hand with bones, ligaments and tendons, mirroring a fully functioning human hand, and do so in one go,” said ETH Zurich’s Thomas Buchner. “Inkbit’s TEPU material has very good elastic properties and bounces back to their original state much faster after bending than polyacrylates, making it ideal for producing the robotic hand’s elastic ligaments.”

The computer vision system converts the image into a high-resolution depth map, a computation that takes less than a second to perform. It compares the depth map to the CAD (computer-aided design) model of the part being fabricated and adjusts the amount of resin being deposited to keep the object on target with the final structure.

The automated system can make adjustments to any individual nozzle. Since the printer has 16,000 nozzles, the system can control fine details of the device being fabricated.

“Geometrically, it can print almost anything you want made of multiple materials. There are almost no limitations in terms of what you can send to the printer, and what you get is truly functional and long-lasting,” said Katzschmann.

The level of control afforded by the system enables it to print very precisely with wax, which is used as a support material to create cavities or intricate networks of channels inside an object. The wax is printed below the structure as the device is fabricated. After it is complete, the object is heated so the wax melts and drains out, leaving open channels throughout the object.

Because it can automatically and rapidly adjust the amount of material being deposited by each of the nozzles in real time, the system doesn’t need to drag a mechanical part across the print surface to keep it level. This enables the printer to use materials that cure more gradually, and would be smeared by a scraper.

Superior materials

The ETH, Inkbit and MIT researchers used the system to print with thiol-based materials, which are slower-curing than the traditional acrylic materials used in 3D printing. However, thiol-based materials are more elastic and don’t break as easily as acrylates. They also tend to be more stable over a wider range of temperatures and don’t degrade as quickly when exposed to sunlight.

“These are very important properties when you want to fabricate robots or systems that need to interact with a real-world environment,” said Katzschmann.

The researchers used thiol-based materials and wax to fabricate several complex devices that would otherwise be nearly impossible to make with existing 3D printing systems. For one, they produced a functional, tendon-driven robotic hand that has 19 independently actuatable tendons, soft fingers with sensor pads, and rigid, load-bearing bones.

A more advanced version of AI-driven inkjet VCJ technology from Inkbit and MIT can produce complex functional structures in a single run
A photograph shows a variety of 3D-printed objects in white, displayed on a tray. The objects are: a robotic hand, cubes made of lattice structures, a biological heart, and a walking robot. Credit: courtesy of the researchers

“We also produced a six-legged walking robot that can sense objects and grasp them, which was possible due to the system’s ability to create airtight interfaces of soft and rigid materials, as well as complex channels inside the structure,” said Buchner.

The team also showcased the technology through a heart-like pump with integrated ventricles and artificial heart valves, as well as metamaterials that can be programmed to have non-linear material properties.

“This is just the start. There is an amazing number of new types of materials you can add to this technology. This allows us to bring in whole new material families that couldn’t be used in 3D printing before,” Matusik said.

The researchers are now looking at using the system to print with hydrogels, which are used in tissue-engineering applications, as well as silicon materials, epoxies, and special types of durable polymers. They also want to explore new application areas, such as printing customizable medical devices, semiconductor polishing pads, and even more complex robots.

This research was funded, in part, by Credit Suisse, the Swiss National Science Foundation, the U.S. Defense Advanced Research Projects Agency, and the U.S. National Science Foundation.

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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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