media release

New algorithm a Christmas gift to 3D printing – and the environment

December 12, 2014
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Contact:
Richard Zhang, 778.782.6843; haoz@sfu.ca
Carol Thorbes, University Communications, 778.782.3035, cthorbes@sfu.ca

Photos: http://at.sfu.ca/iMDjDh

Just in time for Christmas, Simon Fraser University computing science professor Richard Zhang reveals how to print a 3D Christmas tree efficiently and with zero material waste, using the world’s first algorithm for automatically decomposing a 3D object into what are called pyramidal parts.

A pyramidal part has a flat base with the remainder of the shape forming upwards over the base with no overhangs, much like a pyramid. A pyramidal shape is optimal for 3D printing because it incurs no material waste and saves print time.

The algorithm promises to become a big deal in the world of 3D printing, and also has applications for designing molds and for casting.

Zhang, a computer graphics expert specializing in geometric modeling and processing, developed the algorithm with PhD candidate Ruizhen Hu, an international student from Zhejiang University in China.

Their research paper, Approximate Pyramidal Shape Decomposition, was published this month in ACM Transaction on Graphics, the world’s leading graphics journal. As well, Hu presented their research at a major graphics conference, SIGGRAPH Asia, this month in Shenzhen, China.

In 3D printing, the printer deposits melted plastic layer by layer in a bottom-up fashion. If the shape has an overhang, such as a tree branch, extra material has to be printed beneath it as support. This extra plastic is waste material and must be removed, which can be time consuming and difficult. And removing waste material that supports an object’s hollow interior or tiny fragile parts, like the star atop a Christmas tree, can be almost impossible without causing breakage.

"Coming up with a practical algorithm to decompose 3D objects into the smallest possible number of pyramidal parts was quite a challenge,” says Zhang.

“Importantly, it is impractical for most real-world objects to be broken into exactly pyramidal parts since this would result in too many parts,” he says.

“Ruizhen came up with a really clever way of transforming the problem to obtain an effective solution.”

The new algorithm partitions the object into a small number of nearly pyramidal parts that can be 3D-printed with little or no material waste.

These printed parts can then be glued together to form the finished object. The Christmas tree, for example, is divided in half for fabrication, and then glued together.

In molding and casting, the ideas are similar, says Zhang. “If the molded or cast parts are pyramidal, then removing the mold or cast after fabrication would not result in any breakage,” he says.

In keeping with the Christmas theme, he suggests chocolatiers could use the algorithm to design chocolate molds for Christmas trees or reindeer.

The research is supported by NSERC and GRAND NCE funding. The first year of Ruizhen Hu's SFU visit was supported by the China Scholarship Council. The 3D printer was purchased for the GrUVi lab, through an NSERC Research, Tools and Instruments (RTI) grant.

As Canada's engaged university, SFU is defined by its dynamic integration of innovative education, cutting-edge research and far-reaching community engagement.  SFU was founded almost 50 years ago with a mission to be a different kind of university—to bring an interdisciplinary approach to learning, embrace bold initiatives, and engage with communities near and far. Today, SFU is a leader amongst Canada's comprehensive research universities and is ranked one of the top universities in the world under 50 years of age. With campuses in British Columbia's three largest cities—Vancouver, Surrey and Burnaby—SFU has eight faculties, delivers almost 150 programs to over 30,000 students, and boasts more than 130,000 alumni in 130 countries around the world.

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