Researchers combined physics and machine learning to develop a new 3D-printing technique that can quickly create complex physical patterns -- including replicating a segment of a Pollock painting -- by leveraging the same natural fluid instability that Pollock used in his work.
Can a machine be trained to paint like Jackson Pollock? More specifically, can 3D-printing harness the Pollock's distinctive techniques to quickly and accurately print complex shapes?
More than two decades ago, Mahadevan provided a simple physical explanation of this process, and later suggested how Pollock could have intuitively used these ideas to paint from a distance.Today, most 3D and 4D printing techniques place the print nozzle millimeters from the surface, all but eliminating the dynamic instability of the liquid stream.
"If you look at traditional 3D printers, you supply them a path from point A to point B and the nozzle deposits ink along that specified path," said Chaudhary."But Pollock's approach of throwing paint from a height meant that even if his hand was moving in a specific trajectory, the paint didn't follow that trajectory because of the acceleration gained from gravity. A small motion could result in a large splatter of paint.
The researchers used simple fluids for this research, but the approach could be expanded to include more complex fluids, such as liquid polymers, pastes and various types of foods.
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