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Dynamic 3D printing platform concept dramatically reduces supports in FFF » 3D Printing Media Network


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With a story published on April 1st (but we performed all the necessary anti-April Fools checks and can now confirm it), researchers in USC Viterbi’s Daniel J. Epstein Department of Industrial and Systems Engineering have revealed a low-cost reusable support method based on a dynamic 3D printing platform which reduces the need for wasteful supports in material extrusion/deposition, vastly improving cost-effectiveness and sustainability for 3D printing.

The work, led by Yong Chen, professor of industrial and systems engineering and PhD student Yang Xu, has been published in the Additive Manufacturing journal.

Whereas traditional extrusion 3D printing prints layer-by-layer, directly onto a static metal surface, the new prototype instead uses a programmable, dynamically-controlled surface made of moveable metal pins to replace the printed supports. The pins rise up as the printer progressively builds the product. Chen said that testing of the new prototype has shown it saves around 35% in materials used to print objects.

“I work with biomedical doctors who 3D print using biomaterials to build tissue or organs,” Chen said. “Many of the materials they use are very expensive­–we’re talking small bottles that cost between $500 to $1000 each.”

“For standard extrusion printers, the materials cost is around $50 per kilogram, but for bioprinting, it’s more like $50 per gram. So if we can save 30% on material that would have gone into printing these supports, that is a huge cost saving for 3-D printing for biomedical purposes,” Chen said.

Dynamic 3D printing platform concept dramatically reduces supports in FFF
A new, dynamically controlled base for 3D printing will reduce the need for printed supports, cutting waste and saving time. Image: Yong Chen

In addition to the environmental and cost impacts of material wastage, traditional 3D printing processes using supports is also time-consuming, Chen said.

“When you’re 3D printing complex shapes, half of the time you are building the parts that you need, the other half of the time you’re building the supports. So with this system, we’re not building the supports. Therefore, in terms of printing time, we have a savings of about 40%.”

Chen said that similar prototypes developed in the past relied on individual motors to raise each of the mechanical supports, resulting in highly energy-intensive products that were also much more expensive to purchase, and thus not cost-effective for 3D printers.

“So if you had 100 moving pins and the cost of every motor is around $10, the whole thing is $1,000, in addition to 25 control boards to control 100 different motors. The whole thing would cost well over $10,000.”

The research team’s new prototype works by running each of its individual supports from a single motor that moves a platform. The platform raises groups of metal pins at the same time, making it a cost-effective solution. Based on the product design, the program’s software would tell the user where they need to add a series of metal tubes into the base of the platform. The position of these tubes would then determine which pins would raise to defined heights to best support the 3D printed product, while also creating the least amount of wastage from printed supports. At the end of the process, the pins can be easily removed without damaging the product.

Chen said the system could also be easily adapted for large-scale manufacturing, such as in the automotive, aerospace, and yacht industries.

“People are already building material extrusion/deposition printers for large size car and ship bodies, as well as for consumer products such as furniture. As you can imagine, their building times are really long—we’re talking about a whole day,” Chen said. “So if you can save half of that, your manufacturing time could be reduced to half a day. Using our approach could bring a lot of benefits for this type of 3D printing.”

Chen’s team recently applied for a patent for the new technology. The research was co-authored by Ziqi Wang, previously a visiting student at USC, from the School of Computer and Communication Sciences, EPFL Switzerland, and Siyu Gong from USC Viterbi.

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