Autodesk, Inc.

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Morgan Fabian

Lee Morris Taylor

Ran Zhang

Jesus Alejandro Rodriguez

Adrian Adam Thomas Butscher

Nigel Jed Wesley Morris

Benjamin McKittrick Weiss

Benjamin Mckittrick Weiss

Adrian Adam Butscher

Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using techniques that facilitate manufacturing, include: modifying a three dimensional shape, for which a corresponding physical structure is to be created using a manufacturing process, to produce a modified three dimensional shape; and providing the modified shape of the modeled object for use in manufacturing the physical structure using one or more computer-controlled manufacturing systems that employ the manufacturing process. The modifications can include, for each of two or more discrete layers of the three dimensional shape along a direction associated with the manufacturing process, extracting a two dimensional profile representation of the three dimensional shape in a current discrete layer, offsetting the two dimensional profile representation by an amount associated with the manufacturing process, and changing a next discrete layer using an offset two dimensional profile representation of the current discrete layer.

Computer aided design with geometry filtering to facilitate manufacturing

In various embodiments, a training application trains a machine learning model to modify portions of shapes when designing 3D objects. The training application converts first structural analysis data having a first resolution to first coarse structural analysis data having a second resolution that is lower than the first resolution. Subsequently, the training application generates one or more training sets based on a first shape, the first coarse structural analysis data, and a second shape that is derived from the first shape. Each training set is associated with a different portion of the first shape. The training application then performs one or more machine learning operations on the machine learning model using the training set(s) to generate a trained machine learning model. The trained machine learning model modifies at least a portion of a shape having the first resolution based on coarse structural analysis data having the second resolution.

Techniques for training a machine learning model to modify portions of shapes when generating designs for three-dimensional objects

In various embodiments, a topology optimization application solves a topology optimization problem associated with designing a three-dimensional ('3D') object. The topology optimization application coverts a first shape having a first resolution and representing the 3D object to a coarse shape having a second resolution that is lower than the first resolution. Subsequently, the topology optimization application computes coarse structural analysis data based on the coarse shape. The topology optimization application then uses a trained machine learning model to generate a second shape having the first resolution and representing the 3D object based on the first shape and the coarse structural analysis data. The trained machine learning model modifies a portion of a shape having the first resolution based on structural analysis data having the second resolution. Advantageously, generating the second shape based on structural analysis data having a lower resolution reduces computational complexity relative to prior art techniques.

Machine learning techniques for generating designs for three-dimensional objects

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