Siemens Aktiengesellschaft

Siemens Product Lifecycle Management Software Inc.

Siemens Product Lifestyle Management Inc.

Siemens Industry Software Gmbh

Edward Slavin, Iii

Suraj Ravi Musuvathy

Erhan Arisoy

Arquimedes Martinez Canedo

Yakup Genc

Jan Ernst

Sanjeev Srivastava

Livio Dalloro

Lucia Mirabella

Ulrich Münz

David Madeley

Hasan Sinan Bank

Mark R Burhop

Hasan Bank

A system for autonomous generative design in a system having a digital twin graph a requirements distillation tool for receiving requirements documents of a system in human-readable format and importing useful information contained in the requirements documents into the digital twin graph, and a synthesis and analysis tool in communication with the digital twin graph, wherein the synthesis and analysis tool generates a set of design alternatives based on the captured interactions of the user with the design tool and the imported useful information from the requirements documents. The system may include includes a design tool with an observer for capturing interactions of a user with the design tool, In addition to the observer, an insighter in communication with the design tool and with the digital twin graph receives design alternatives from the digital twin graph and present the receive design alternatives to a user via design tool.

System for automated generative design synthesis using data from design tools and knowledge from a digital twin

A method for designing a product comprising physical hardware and a controller for controlling the physical hardware includes generating a detailed hardware model describing the physical hardware and a controller model corresponding to the controller based on a set of user requirements. An optimal design of the physical hardware and the controller is determined by solving a multi-objective optimization problem comprising a first objective function defining hardware design objectives, and a second objective function defining objectives for the controller model for the physical hardware.

Joint hardware and controller design

Systems and methods for support structures for additive manufacturing of solid models. A method includes receiving a solid model, for a physical object to be manufactured, that includes a plurality of boundary representation surfaces. The method includes analyzing the b-rep surfaces to generate point samples for potential support locations. The method includes clustering points on the solid model, corresponding to at least some of the point samples, to create support locations. The method includes generating column supports in the solid model that connect to the original solid model at the support locations. The method includes storing the solid model, including the column supports.

Support structures for additive manufacturing of solid models

Computer assisted design data is rendered in the cloud. A client-server relationship is provided for 3D rendering. To reduce the burden on the server, the 3D rendering adapts based on the client capabilities. Where possible, some of the 3D rendering is performed by the server and some by the client machine. The 3D rendering by the client machine may be limited to avoid transfer of geometrical data of the CAD data. Different textures or shaders are used for rendering images associated with motion. Dictionary information is accumulated by the client machine to reduce the number of coefficients later transferred to the client machine for 3D rendering. The model represented by the CAD data is used to predict rendered images so that video compression may be performed. The server sparsely renders an image and compressive sensing is used by the client machine to generate the complete image.

Rendering of design data

Growing community of inventors

Robbinsville, NJ, United States of America

Edward Slavin, Iii