Ricerc@Sapienza

As 3D printing technology advances and becomes cheaper, homemade fabrication of digital objects becomes more and more common.
On the other hand, this approach does not fit well industrial production's requirement. Printing speed and resin's cost simply make the technique unscalable to large volumes of product.

Thus, despite being not so innovative, casting molds are still the preferred technology for assembly line production: their production is cheap, and they support a large variety of materials and ensure a virtually unlimited geometric precision.

However, designing castin molds turns out to be a large hidden cost. This process is difficult and really time consuming. Also, a good design that allows for clean casting and material saving requires the work of very specialized people, hence definitely introducing other costs.

While a variety of softwares are available that provide help in mold design, they still require human supervision and manual interaction to produce acceptable results. Instead, we want to find algorithms based on differential geometry and shape analysis that provide a fully automated pipeline for designing casting mold.