Siemens Industry Software Gmbh

Siemens Product Lifecycle Management Software Inc.

Siemens Aktiengesellschaft

Georgia Tech Research Corporation

Siemens Corporation

Siemens Product Lifestyle Management Inc.

Suraj Ravi Musuvathy

Erhan Arisoy

Lucia Mirabella

Livio Dalloro

David Madeley

Sanjeev Srivastava

George Allen

Tong Fang

Sergei Azernikov

Nurcan Gecer Ulu

Edward Slavin, Iii

Guannan Ren

Arquimedes Martinez Canedo

Sajjad Hussain Baloch

Dirk Hartmann

Jaroslaw Rossignac

Prakhar Jaiswal

Ashish Gupta

Erva Ulu

Hasan Sinan Bank

Gang Li

Elena Arvanitis

Ulrich Raschke

Omar Fergani

Tsz Ling Elaine Tang

Tom Van 't Erve

Louis Komzsik

James B Thompson

Rafael Blumenfeld

Ayse Parlak

Sudipta Pathak

Gil Chen

Richard Charles Collins

Guanglei Xiong

Lawrence Spivey

Ruirui Jiang

Eduard Finaro

Stefan Gavranovic

Gaurav Ameta

Wesley Reinhart

Yu-Chin Chan

Hiren Dedhia

Bharat Sanjay Prabhu

Kelsey Kurzeja

Mark R Burhop

Edward Iii Slavin

Tom Van 'T Erve

Peter Philip Lonsdale Nanson

Hasan Bank

A computing system may include an access engine and a defect detection engine. The access engine may be configured to access a slice contour of a given layer of a 3-dimensional (3D) object designed for manufacture through an additive manufacturing process and obtain hatch tracking for the slice contour, the hatch tracking representative of an energy path to melt metal powder for constructing the given layer through the additive manufacturing process. The defect detection engine may be configured to construct, from the slice contour, an as-built image for the given layer by rendering the hatch tracking in the slice contour; construct, from the slice contour, an idealized image for the given layer; and identify defects in the given layer via image analysis between the as-built image and the idealized image.

Image-based defect detections in additive manufacturing

Methods and systems are disclosed for generation of cellular lattice kernels optimized by multiple objectives for highly specific targeted properties of geometry and topology rather than state of the art methods that rely on a predefined kernel library. Using a characterization of virtual kernel features, bulk material properties can be predicted using approximations from the virtual kernel rather than having to rely solely on experimental finite element simulations of lattice structures.

Computer aided design of custom cellular lattice kernels according to material properties

A computing system may include an initial design space engine and an active region adaptation engine. The initial design space engine may be configured to identify a design domain for which to optimize a topology based on an objective function and determine an active region. The active region adaptation engine may be configured to iteratively adapt the active region until an optimization ending criterion is satisfied. Iterative adaptation of the active region may include expanding the design domain to include branch design elements, performing finite element analysis (FEA) on the expanded design domain, and determining an adapted active region by activating some of the branch design elements based on an active sensitivity threshold and deactivating some of the active design element based on design variable value changes.

Active region adaptations for design domains in topology optimizations

Systems and methods may support build direction-based partitioning for construction of a physical object through additive manufacturing. In some implementations, a system may access a surface mesh representative of a 3D object and an initial build direction for construction of the object using additive manufacturing. The system may partition the surface mesh into an initial buildable segment and a non-buildable segment based on the initial build direction. The system may iteratively determine subsequent build directions and partition off subsequent buildable segments from the unbuildable segment until no portion of the non-buildable segment remains. The determined buildable segments and correlated build directions may be provided to a multi-axis 3D printer for construction of the represented 3D object through additive manufacturing.

Build direction-based partitioning for construction of a physical object through additive manufacturing

Methods for modeling of parts with lattice structures and corresponding systems and computer-readable mediums. A method includes receiving a model of an object to be manufactured. The method includes receiving a user specification of a void region within the model to create a lattice. The method includes performing a trimming operation to create a trimmed lattice by tessellating void surfaces and grouping together at least one row of connected rods to be treated as a single entity.

System and method for modeling of parts with lattice structures

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 computer-implemented method for constructing structures using beams bounded by quadric surfaces of revolution includes generating a quador beam within a computer-aided design (CAD) tool. The quador beam comprises two spheres at opposing endpoints, and the beam is bounded by a quadric surface of revolution around an axis of symmetry joining the center of the two spheres. The quadric surface of revolution abuts with tangent continuity with the surface of each of the spheres. Once generated, the quador beam can be visualized in the CAD tool or another display medium.

Quador: quadric-of-revolution beams for lattices

A method, and corresponding systems and computer-readable mediums, for designing and manufacturing a part. A method includes receiving part data for a part to be manufactured. The method includes creating a set of balls and beams in a computer-aided design (CAD) model, in a patterning structure and based on the part data. The method includes constructing a steady lattice structure in the CAD model. The method includes displaying the CAD model including the steady lattice structure.

System and method for design and manufacture of steady lattice structures

A system and method is provided for determining grasping positions for two-handed grasps of industrial objects. The system may include a processor configured to determine a three dimensional (3D) voxel grid for a 3D model of a target object. In addition, the processor may be configured to determine at least one pair of spaced apart grasping positions on the target object at which the target object is capable of being grasped with two hands at the same time based on processing the 3D voxel grid for the target object with a neural network trained to determine grasping positions for two-handed grasps of target objects using training data. Such training data may include 3D voxel grids of a plurality of 3D models of training objects and grasping data including corresponding pairs of spaced-apart grasping positions for two-handed grasps of the training objects. Also, the processor may be configured to provide output data that specifies the determined grasping positions on the target object for two-handed grasps.

System and method for determining grasping positions for two-handed grasps of industrial objects

A computing system may include a data access engine and a toolpath adjustment engine. The data access engine may be configured to access a computer-aided design (CAD) model of a part design and a computer-aided manufacturing (CAM) setup for the part design. The CAM setup may include a nominal toolpath specified through the CAD model for performing a finishing operation for the part design. The data access engine may also be configured to obtain 3-dimensional (3D) scan data for a physical part manufactured from the part design. The toolpath adjustment engine may be configured to extract, from the 3D scan data, a manufactured geometry of the physical part manufactured from the part design and generate an adjusted toolpath for the physical part to account for the manufactured geometry extracted from the 3D scan data.

Toolpath adjustments based on 3-dimensional scan data of physically manufactured parts

A system may include a processor configured to receive toolpaths along which a 3D printer deposits beads of material in a plurality of layers in order to additively build up a product. Based on the toolpaths, the processor may determine an image for each layer and may process the images based on a default bead size to determine a bead size image for each layer comprised of pixels having values that specify bead size for locations along the toolpaths. The image processing produces pixel values for the bead size images that vary in magnitude at different locations along the toolpaths in order to represent smaller and larger bead sizes relative to the default bead size, which smaller and larger bead sizes respectively minimize over-depositing and under-depositing of material by the 3D printer that would otherwise occur with the default bead size.

System and method for providing variation in bead size to improve geometrical accuracy of deposited layers in an additive manufacturing process

Systems and methods may support identification and redesign of critical thin segments in a 3D model that are below 3D printer resolution. Identification of critical thin segments may include segmenting cross-sectional slices of the 3D model into printable segments and non-printable segments and using a machine learning model trained using geometrical features computed on thin regions to classify the non-printable segments as critical or non-critical. Redesign of critical thin segments may include thickening the critical thin segments such that the segment size of the critical thin segments satisfy a thickening criterion with respect to the printer resolution and smoothing sharp corners added to the cross-sectional slice at an intersection between the critical thin segment and a neighboring printable segment. Redesign of the critical thin segments may account for tolerable overhang.

Identification and redesign of critical thin segments below 3D printer resolution

Methods for product design and corresponding systems and computer-readable mediums. A method includes receiving a modeled object having a surface and a non-homogeneous density distribution. The method includes tessellating the surface of the object into a set of triangles defined by triangle vertices. The method includes selecting a reference point for the object. The method includes, for each triangle in the tessellation, constructing a tetrahedron, the tetrahedron defined by tetrahedron vertices that include the vertices of the corresponding triangle and the reference point, determining a material density at each of the tetrahedron vertices, and computing mass properties for the tetrahedron using the material density at each of the tetrahedron vertices. The method includes aggregating the mass properties of the tetrahedrons. The method includes storing the aggregated mass properties of the tetrahedrons as the mass properties of the object.

Systems and methods for determining mass properties of a modeled object

A method of partitioning a model to facilitate printing of the model on a 3D printer includes identifying partition sensitive locations on the model and creating a binary tree with a root note representative of the model. An iterative partitioning process is applied to divide the model into objects by selecting a node of the binary tree without any children nodes, identifying a portion of the model corresponding to the node, and determining candidate cutting planes on the portion of the model based on the partition sensitive locations. During the process, analytic hierarchical processing (AHP) is applied to select an optimal cutting plane from the candidate cutting planes based on partitioning criteria. The optimal cutting plane is used to segment the portion of the model into sub-portions, and two children nodes representative of these sub-portions are created on the node of the binary tree.

Optimized partitioning of solid 3D models for additive manufacturing

A method and system is provided for computer-aided simulation of multi-layer selective laser sintering and melting in an additive manufacturing processes. The method may include receiving a solid model. The method may also include slicing the solid model geometry along a build direction and creating 3D meshes that represent manufacturing layers. In addition, the method may include simulating manufacture of each of the 3D meshes to produce corresponding deformed 3D meshes. Further, the method may include building a 3D mesh model from the deformed 3D meshes and displaying the 3D mesh model.

Computer-aided simulation of multi-layer selective laser sintering and melting additive manufacturing processes

Growing community of inventors

Princeton, NJ, United States of America

Suraj Ravi Musuvathy