公开(公告)号：US20200151286A1

公开(公告)日：2020-05-14

申请号：US16679065

申请日：2019-11-08

Applicant: Autodesk, Inc.

Inventor： Karl Darcy Daniel Willis ,  Nigel Jed Wesley Morris ,  Andreas Linas Bastian ,  Adrian Adam Thomas Butscher ,  Daniele Grandi ,  Suguru Furuta ,  Joseph George Lambourne ,  Tristan Ward Barback ,  Martin Cvetanov Marinov ,  Marco Amagliani ,  Jingyang John Chen ,  Michael Andrew Smell ,  Brian M. Frank ,  Hooman Shayani ,  Christopher Michael Wade ,  Nandakumar Santhanam

IPC: G06F17/50 ,  G06T17/20

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using data format conversion (e.g., of output(s) from generative design processes) and user interface techniques that facilitate the production of 3D models of physical structures that are readily usable with 2.5-axis subtractive manufacturing, include: modifying smooth curves, which have been fit to contours representing discrete height layers of an object, to facilitate the 2.5-axis subtractive manufacturing; preparing an editable model of the object using a parametric feature history, which includes a sketch feature, to combine extruded versions of the smooth curves to form a 3D model of the object in a boundary representation format; reshaping a subset of the smooth curves responsive to user input with respect to the sketch feature; and replaying the parametric feature history to reconstruct the 3D model of the object, as changed by the user input.

公开(公告)号：US12288013B2

公开(公告)日：2025-04-29

申请号：US17348295

申请日：2021-06-15

Applicant: AUTODESK, INC.

Inventor： Pradeep Kumar Jayaraman ,  Thomas Ryan Davies ,  Joseph George Lambourne ,  Nigel Jed Wesley Morris ,  Aditya Sanghi ,  Hooman Shayani

IPC: G06F30/27 ,  G06F30/23 ,  G06N20/00 ,  G06T17/10

Abstract: In various embodiments, a parameter domain graph application generates UV-net representations of 3D CAD objects for machine learning models. In operation, the parameter domain graph application generates a graph based on a B-rep of a 3D CAD object. The parameter domain graph application discretizes a parameter domain of a parametric surface associated with the B-rep into a 2D grid. The parameter domain graph application computes at least one feature at a grid point included in the 2D grid based on the parametric surface to generate a 2D UV-grid. Based on the graph and the 2D UV-grid, the parameter domain graph application generates a UV-net representation of the 3D CAD object. Advantageously, generating UV-net representations of 3D CAD objects that are represented using B-reps enables the 3D CAD objects to be processed efficiently using neural networks.

公开(公告)号：US10452052B2

公开(公告)日：2019-10-22

申请号：US15649530

申请日：2017-07-13

Applicant: Autodesk, Inc.

Inventor： Nathan David Rogers ,  Paul Wilkinson ,  Joseph George Lambourne

IPC: G05B19/4097

Abstract: Systems and method relating to machining parts include a CNC system, and a computer including a processor and a computer-readable medium, wherein the computer-readable medium encodes instructions including receiving, at the computer program, output data from a CNC machine that receives instructions of a Numerical Control (NC) program at a computer of the CNC machine, the instructions causing the CNC machine to i) manufacture a part, and ii) output the output data, parsing, by the computer program, the output data before completion of the manufacturing of the part by the CNC machine in accordance with the instructions of the NC program, selecting, by the computer program and based on one or more predetermined parameters, a set of data from the parsed output data; and providing, by the computer program to a remote system, the set of data for processing to facilitate machining using the CNC machine.

公开(公告)号：US20230376639A1

公开(公告)日：2023-11-23

申请号：US17747953

申请日：2022-05-18

Applicant: Autodesk, Inc.

Inventor： Joseph George Lambourne

IPC: G06F30/10 ,  G06V10/82 ,  G06V10/764

CPC classification number: G06F30/10 ,  G06V10/82 ,  G06V10/765

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design and manufacture of physical structures by generating prismatic CAD models using machine learning, include: obtaining an input embedding that encodes a representation of a target two-dimensional (2D) shape; processing the input embedding using a 2D decoder of a 2D autoencoder to obtain a decoded representation of the target 2D shape; determining a fitted 2D parametric sketch model for the input embedding, including: finding a 2D parametric sketch model for the input embedding using a search in an embedding space of the 2D autoencoder and a database of sketch models associated with the 2D autoencoder, and fitting the 2D parametric sketch model to the decoded representation of the target 2D shape; and using the fitted 2D parametric sketch model in a computer modeling program.

公开(公告)号：US20230056614A1

公开(公告)日：2023-02-23

申请号：US17945008

申请日：2022-09-14

Applicant: Autodesk, Inc.

Inventor： Karl Darcy Daniel Willis ,  Nigel Jed Wesley Morris ,  Andreas Linas Bastian ,  Adrian Adam Thomas Butscher ,  Daniele Grandi ,  Suguru Furuta ,  Joseph George Lambourne ,  Tristan Ward Barback ,  Martin Cvetanov Marinov ,  Marco Amagliani ,  Jingyang John Chen ,  Michael Andrew Smell ,  Brian M. Frank ,  Hooman Shayani ,  Christopher Michael Wade ,  Nandakumar Santhanam

IPC: G06F30/00 ,  G06T17/20

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using data format conversion (e.g., of output(s) from generative design processes) and user interface techniques that facilitate the production of 3D models of physical structures that are readily usable with 2.5-axis subtractive manufacturing, include: modifying smooth curves, which have been fit to contours representing discrete height layers of an object, to facilitate the 2.5-axis subtractive manufacturing; preparing an editable model of the object using a parametric feature history, which includes a sketch feature, to combine extruded versions of the smooth curves to form a 3D model of the object in a boundary representation format; reshaping a subset of the smooth curves responsive to user input with respect to the sketch feature; and replaying the parametric feature history to reconstruct the 3D model of the object, as changed by the user input.

公开(公告)号：US11455435B2

公开(公告)日：2022-09-27

申请号：US16679065

申请日：2019-11-08

Applicant: Autodesk, Inc.

Inventor： Karl Darcy Daniel Willis ,  Nigel Jed Wesley Morris ,  Andreas Linas Bastian ,  Adrian Adam Thomas Butscher ,  Daniele Grandi ,  Suguru Furuta ,  Joseph George Lambourne ,  Tristan Ward Barback ,  Martin Cvetanov Marinov ,  Marco Amagliani ,  Jingyang John Chen ,  Michael Andrew Smell ,  Brian M. Frank ,  Hooman Shayani ,  Christopher Michael Wade ,  Nandakumar Santhanam

IPC: G06F30/00 ,  G06T17/20 ,  G06F119/18

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures using data format conversion (e.g., of output(s) from generative design processes) and user interface techniques that facilitate the production of 3D models of physical structures that are readily usable with 2.5-axis subtractive manufacturing, include: modifying smooth curves, which have been fit to contours representing discrete height layers of an object, to facilitate the 2.5-axis subtractive manufacturing; preparing an editable model of the object using a parametric feature history, which includes a sketch feature, to combine extruded versions of the smooth curves to form a 3D model of the object in a boundary representation format; reshaping a subset of the smooth curves responsive to user input with respect to the sketch feature; and replaying the parametric feature history to reconstruct the 3D model of the object, as changed by the user input.

公开(公告)号：US20220156430A1

公开(公告)日：2022-05-19

申请号：US17519264

申请日：2021-11-04

Applicant: Autodesk, Inc.

Inventor： Joseph George Lambourne

IPC: G06F30/17 ,  G06F30/27 ,  G06F30/23

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided design of physical structures include: obtaining a B-Rep model including parametric surfaces and associated coedges; generating feature matrices from the coedges associated with the parametric surfaces; using the feature matrices in a convolution layer of a convolutional neural network of a machine learning algorithm to recognize a collection of faces or edges in the B-Rep model, including concatenating results of transforming the feature matrices using a topological walk matrix that represents topological information for the parametric surfaces based on adjacency relationships among the coedges (e.g., including ordering information); and preparing, based on the at least one collection of faces or edges recognized by the machine learning algorithm, (i) a display of the B-Rep model to facilitate user changes or (ii) a design of the B-Rep model to facilitate manufacturing a physical structure using the B-Rep model.

公开(公告)号：US20190018391A1

公开(公告)日：2019-01-17

申请号：US15649530

申请日：2017-07-13

Applicant: Autodesk, Inc.

Inventor： Nathan David Rogers ,  Paul Wilkinson ,  Joseph George Lambourne

IPC: G05B19/4097

CPC classification number: G05B19/4097 ,  G05B2219/33141 ,  G05B2219/35012

Abstract: Systems and method relating to machining parts include a CNC system, and a computer including a processor and a computer-readable medium, wherein the computer-readable medium encodes instructions including receiving, at the computer program, output data from a CNC machine that receives instructions of a Numerical Control (NC) program at a computer of the CNC machine, the instructions causing the CNC machine to i) manufacture a part, and ii) output the output data, parsing, by the computer program, the output data before completion of the manufacturing of the part by the CNC machine in accordance with the instructions of the NC program, selecting, by the computer program and based on one or more predetermined parameters, a set of data from the parsed output data; and providing, by the computer program to a remote system, the set of data for processing to facilitate machining using the CNC machine.