公开(公告)号：US11321605B2

公开(公告)日：2022-05-03

申请号：US15810840

申请日：2017-11-13

Applicant: Dassault Systemes SolidWorks Corporation

Inventor： Ameya Divekar ,  Makarand Apte ,  Shrikant Savant

IPC: G06F30/00 ,  G06N3/04 ,  G06N3/08 ,  G06T19/00 ,  G06F30/17 ,  G06F30/27 ,  G06N3/02 ,  G06F111/04 ,  G06F111/20

Abstract: Methods and systems identify frequently-used CAD components and apply machine learning techniques to predict mateable entities and corresponding mate types for those components to automatically add components to a CAD model. An example method includes accessing information regarding CAD model parts and related mate information stored in a computer database, and dividing parts into a plurality of clusters having parts with similar global shape signatures. In response to a new part being added, contextual signatures of entities of the new part are input into a mateability predictor neural network to determine a mateable entity of the new part. Input into a mate-type predictor neural network is (i) a contextual signature of the mateable entity and (ii) a contextual signature of an entity of another part of the CAD model to determine a mate type between the entities. A mate between the new part and the other part is automatically added based on the determined mate type.

公开(公告)号：US11163915B2

公开(公告)日：2021-11-02

申请号：US14577056

申请日：2014-12-19

Applicant: Dassault Systemes

Inventor： Ameya Divekar

IPC: G06F30/00 ,  G06T17/10 ,  G06F30/17 ,  G06F111/02 ,  G06F111/20

Abstract: The invention notably relates to a computer-implemented method for designing a 3D modeled object. The 3D modeled object is stored in a database. The method provides the 3D modeled object having a plurality of features; selects, upon user action, a first geometry of a first feature; queries and retrieves from the database at least one specification according to the selected first geometry. The method selects at least one second feature; and applies, on the selected at least one second feature, the specification retrieved from the database.

公开(公告)号：US20150186555A1

公开(公告)日：2015-07-02

申请号：US14577056

申请日：2014-12-19

Applicant: Dassault Systemes

Inventor： Ameya Divekar

IPC: G06F17/50 ,  G06T17/10

Abstract: The invention notably relates to a computer-implemented method for designing a 3D modeled object. The 3D modeled object is stored in a database. The method provides the 3D modeled object having a plurality of features; selects, upon user action, a first geometry of a first feature; queries and retrieves from the database at least one specification according to the selected first geometry. The method selects at least one second feature; and applies, on the selected at least one second feature, the specification retrieved from the database.

Abstract translation: 本发明特别涉及一种用于设计3D建模对象的计算机实现的方法。 3D建模对象存储在数据库中。 该方法提供具有多个特征的3D建模对象; 在用户操作时选择第一特征的第一几何形状; 根据所选择的第一几何，从数据库中查询和检索至少一个规范。 该方法选择至少一个第二特征; 并且在所选择的至少一个第二特征上应用从数据库检索的规范。

公开(公告)号：US20190147317A1

公开(公告)日：2019-05-16

申请号：US15810840

申请日：2017-11-13

Applicant: Dassault Systemes SolidWorks Corporation

Inventor： Ameya Divekar ,  Makarand Apte ,  Shrikant Savant

IPC: G06N3/04 ,  G06N3/08 ,  G06F17/50

Abstract: Methods and systems identify frequently-used CAD components and apply machine learning techniques to predict mateable entities and corresponding mate types for those components to automatically add components to a CAD model. An example method includes accessing information regarding CAD model parts and related mate information stored in a computer database, and dividing parts into a plurality of clusters having parts with similar global shape signatures. In response to a new part being added, contextual signatures of entities of the new part are input into a mateability predictor neural network to determine a mateable entity of the new part. Input into a mate-type predictor neural network is (i) a contextual signature of the mateable entity and (ii) a contextual signature of an entity of another part of the CAD model to determine a mate type between the entities. A mate between the new part and the other part is automatically added based on the determined mate type.

公开(公告)号：US20140136156A1

公开(公告)日：2014-05-15

申请号：US14081844

申请日：2013-11-15

Applicant: Dassault Systemes

Inventor： Ameya Divekar ,  Sameer Kulkarni ,  Jean-Louis Delvordre

IPC: G06F17/50

CPC classification number: G06F17/50 ,  G06T19/20 ,  G06T2219/2004 ,  G06T2219/2021

Abstract: The invention is directed to computer-implemented method for designing a staggered pattern of objects in a computer-aided design system. The method comprises providing a rotation axis that is the origin of two or more concentric circles, providing a reference object to be multi-instantiated, defining the number of objects to be instantiated from the reference object on each concentric circle, defining an angular shift, instantiating the number of objects from the reference object on each concentric circle, the instantiated objects being spaced according to an angular deviation between two consecutive instantiated objects on a given concentric circle, in one of every two concentric circle, shifting the instantiated objects in accordance with the angular shift.

Abstract translation: 本发明涉及用于在计算机辅助设计系统中设计对象的交错图案的计算机实现的方法。 该方法包括提供作为两个或多个同心圆的原点的旋转轴，提供要被多实例化的参考对象，从而定义在每个同心圆上从参考对象被实例化的对象的数量，限定角位移， 在每个同心圆上实例化参考对象的对象数量，实例化对象根据给定同心圆中的两个连续的实例化对象之间的角度偏差在每两个同心圆之一间隔开，根据 角位移。