Understanding the physical properties of 3D printing is very useful for designers and manufacturers. They can accurately know which materials can be used to optimize 3D prints. A team of researchers at the Massachusetts Institute of Technology (MIT) has recently developed an ingenious software system that can use advanced physical models to calculate this data in a very short time.
The system was designed by BoZhu, a postdoctoral fellow at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL), and Wojciech Matusik, an associate professor of electrical engineering and computer science. Their work was supported by the SIMPLEX project of the US Defense Advanced Research Projects Agency.
“All along, people are doing manual 3D printing design,†BoZhu said. “But when you want some higher-level goals, for example, if you want to design a chair with maximum stiffness, or design some soft (robot) clips, then intuition or experience may not be enough. Topology optimization is our research focus, we add the physical models and simulation in the design of the circuit. the current topology optimization problem is there is a gap between hardware and software functionality, and our algorithms to make up the gap.
The average resolution of a 3D printer is around 600 dots per inch, which means that the volume of 1.67 cubic inches can accommodate one billion small cubes of material. Calculating the effect of each material combination will be very time consuming. Therefore, the innovation of the MIT team is to simulate these effects by simulating a cluster of cubes.
For a given set of materials, the software randomly generates clusters of different sizes - 16, 32 or 64 voxels (3D pixels). By evaluating the physical properties of each cluster, it gradually builds a database that can contain thousands of structures. The software then accesses this database to select the best 3D printed material for the 3D print . The software has broad application prospects.
“Material structure and performance are important, such as the automotive or aerospace industry. Producing materials and objects with specified functional properties is at the heart of these applications,†said a computer science assistant professor. “Proposed by the MIT team. The solution allows for practical optimization of 3D designs, enabling them to generate high-resolution 3D prints very efficiently, even on a regular computer.
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