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'MultiFab' machine 3D prints a record 10 materials at once, no assembly required

By Adam Conner-Simons, CSAIL, MIT Computer Science & Artificial Intelligence Lab

MultiFab (shown here) can print an unprecedented 10 different materials at once, far more inexpensively than traditional models, by using machine-vision and 3-D-scanning techniques that save time, energy, and money. [Photo: Tom Buehler/CSAIL]

 

 

 

 

3D printing is great, assuming you're printing one material for one purpose, and that you're fine with a few do-overs. But the technology is still far behind in reliably producing a variety of useful objects, with no assembly required, at a moderate cost.

In recent years, companies have been working to tackle some of these challenges with "multi-material" 3D printers that can fabricate many different functional items. Such printers, however, have traditionally been limited to three materials at a time, can cost as much as $250,000 each, and still require a fair amount of human intervention.

But researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) say that they've found a way to make a better, cheaper, more user-friendly printer. In a paper accepted at the SIGGRAPH computer-graphics conference at the end of August, a CSAIL team presented a 3D printer that can print an unprecedented 10 different materials at once by using 3D-scanning techniques that save time, energy, and money.

Delivering resolution at 40 microns -- or less than half the width of a human hair -- the "MultiFab" system is the first 3D printer to use 3D-scanning techniques from machine vision, which offers two key advantages in accuracy and convenience over traditional 3D printing.

First, MultiFab can self-calibrate and self-correct, freeing users from having to do the fine tuning themselves. For each layer of the design, the system's feedback loop 3D scans and detects errors and then generates so-called "correction masks." This approach allows the use of inexpensive hardware while ensuring print accuracy.

Secondly, MultiFab gives users the ability to embed complex components, such as circuits and sensors, directly onto the body of an object, meaning that it can produce a finished product, moving parts and all, in one fell swoop.

"The platform opens up new possibilities for manufacturing, giving researchers and hobbyists alike the power to create objects that have previously been difficult or even impossible to print," says Javier Ramos, a research engineer at CSAIL who co-authored the paper with members of professor Wojciech Matusik's Computational Fabrication Group.

MultiFab has been used to print smartphone cases, light-emitting diode lenses, fiberoptic cables, and other items. The printer has a range of applications in consumer electronics, microsensing, medical imaging, and other fields. [Photo: Tom Buehler/CSAIL]

 

 

 

 

The researchers have used MultiFab to print everything from smartphone cases to light-emitting diode lenses -- and they envision an array of applications in consumer electronics, microsensing, medical imaging, and telecommunications, among other things. They plan to also experiment with embedding motors and actuators that would make it possible to 3D print more advanced electronics, including robots.

MultiFab was built using low-cost, off-the-shelf components that cost around $7,000 total. Besides Ramos and Matusik, the team includes lead author and former CSAIL postdoc Pitchaya Sitthi-Amorn, former graduate students Joyce Kwan and Justin Lan, research scientist Wenshou Wang, and graduate student Yu Wang of Tsinghua University.

Why multi-material printing is hard
There are many technical challenges to creating a printer like MultiFab: Different materials require different pressures and temperatures, so printing something complex usually involves printing all individual pieces separately and then assembling them by hand.

But with MultiFab, you simply put the components into the platform and the printer does the rest. Cameras automatically scan the components' three-dimensional geometries and uses that information to print other objects around them. For example, you can put an iPhone into the printer and program the system to print a case that is directly affixed onto the phone.

Other multi-material printers work via "extrusion" technologies, using nozzles that squirt out melted material, that then hardens, to build an object layer by layer. Such techniques, while sufficient for certain uses, often lead to low-resolution finished items.

MultiFab, on the other hand, mixes microscopic droplets of photopolymers together that are then sent through inkjet printheads similar to those in office printers. The computationally intensive process, which involves crunching dozens of gigabytes of visual data, can be much more easily scaled to larger objects and multiple materials.

The researchers note in their paper ("MultiFab: A Machine Vision Assisted Platform for Multi-material 3D Printing"): "All materials presented in this paper are UV-curable photopolymers. Additional materials such as co-polymers, hydrogels, and solvent-based materials can be adapted to be used within our platform. While we have performed initial experiments with many of these materials, this research is beyond the scope of this paper. Currently, our material library includes a rigid material (RIG), elastic material (ELA), high refractive index material (HR), low refractive index material (LR), and a support material (SPT)."

What's next?
Ramos says that he could imagine printers like MultiFab being used by researchers, manufacturers, and consumers.

Companies could edit and finalize designs faster, allowing them to bring products to market sooner. Big-box stores that have already installed single-material 3D printers could graduate to multi-material ones, for use by casual hobbyists and small business owners alike.

"Picture someone who sells electric wine openers but doesn't have $7,000 to buy a printer like this. In the future, they could walk into a FedEx with a design and print out batches of their finished product at a reasonable price," Ramos says. "For me, a practical use like that would be the ultimate dream."

The work was supported in part by a grant from MIT's Deshpande Center for Technological Innovation.

Published November 2015

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