Although in the past 10 years, 3D printing has made great progress, such as multi-material printing, manufacturing of powerful functional objects, etc., but because there is no user-friendly interface, for many non-programmers, Creating an object made up of multiple materials (or a mixture of materials) is still a challenging task.
Today, this obstacle is expected to be resolved. This week, the MIT Computer Science and Artificial Intelligence Lab will launch "Foundry," a software that can custom design a variety of multi-material based 3D printed objects.
Researchers use Foundry software to design, 3D printed multi-material table tennis bats
“In traditional manufacturing, objects containing different materials are usually manufactured separately, then assembled/welded/bonded together,†said Kiril Vidim?e , the lead author and doctoral student of the paper. “Even the current Multi-material 3D printers have similar workflows—components are designed once in a traditional CAD system, and then the printing software allows the user to assign individual materials to each component.â€
In contrast, Foundry allows users to change attributes with unprecedented fine resolution.
Researchers use Foundry software to design, 3D printed bones
“It's like Photoshop for 3D materials, you can use it to design objects made from new composite materials that have optimal mechanical, thermal and electrical properties.†Vidim?e says: “Your only limit It is your own creativity."
To demonstrate the functionality of the software, the R&D team designed and produced a table tennis bat, snowboard with reflective surfaces, tricycle wheels, helmets, and even bones for surgical planning.
Researchers use Foundry software to design, 3D printed multi-material skis
According to Xiaobian, using existing design tools to redesign multi-material objects often requires an experienced engineer to spend many days—and some designs may not be possible at all. But Foundry software allows you to complete these designs in minutes.
Co-authors of the research paper include Professor MIT Wojciech Matusik and his students in the computational manufacturing group: PhD student Alexandre Kaspar and former graduate student YeWang. The paper will be presented at the Computing Equipment User Interface Software and Technology Symposium (UIST) in Tokyo later this week.
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