Siemens Industry Software Gmbh

Siemens Aktiengesellschaft

Siemens Product Lifecycle Management Software Inc.

Siemens Product Lifestyle Management Inc.

Erhan Arisoy

Suraj Ravi Musuvathy

David Madeley

Sanjeev Srivastava

Livio Dalloro

Lucia Mirabella

Edward Slavin, Iii

Guannan Ren

Prakhar Jaiswal

Arquimedes Martinez Canedo

Nurcan Gecer Ulu

Erva Ulu

Hasan Sinan Bank

Ulrich Raschke

Tsz Ling Elaine Tang

Rafael Blumenfeld

Ayse Parlak

Gil Chen

Sudipta Pathak

Eduard Finaro

Mark R Burhop

Edward Iii Slavin

Hasan Bank

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

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 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

Additive manufacturing methods and corresponding systems and computer-readable mediums. A method includes receiving, by a data processing system, a three-dimensional (3D) model of a product to be manufactured by additive manufacturing. The method includes generating, by the data processing system, a time-based heat map of temperatures of the product during manufacture. The method includes identifying, by the data processing system, hot spots in the heat map where the temperature exceeds a first predetermined threshold. The method includes adding, by the data processing system, heatsink support structures to the 3D model at locations corresponding to the hot spots to produce a modified 3D model. The method includes storing, by the data processing system, the modified 3D model.

Heat sink support structures in additive manufacturing

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

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 computer-implemented method of optimized lattice partitioning of solid 3-D models for additive manufacturing includes a computer receiving a 3-D model of an object to be printed and functional specifications indicating desired mechanical properties for portions of the object. The computer generates a plurality of lattice template structures based on the 3-D model and a uniform grid structure of an internal surface of the object. The computer determines material behaviors for each of the plurality of lattice template structures using the functional specifications and assigns the lattice template structures to locations in the uniform grid structure based on the material behaviors of the lattice template structures, thereby yielding a printable lattice.

Functional 3-D: optimized lattice partitioning of solid 3-D models to control mechanical properties for additive manufacturing

A computer-implemented method for ranking design parameter significance includes a computer receiving an input dataset representative of a physical object. This input dataset includes a baseline parameters and associated probabilities. The computer also receives performance requirements. For each respective baseline parameter, the computer performs an analysis process. During this analysis process, a range of parameter values are selected for the respective baseline parameter based on its corresponding probability distribution. The range of parameter values are segmented into parameter subsets and multiple instances of a simulation are executed using the performance requirements to yield snapshots. A Proper Orthogonal Decomposition (POD) basis is derived using the snapshots. A sensitivity analysis is performed based on the POD basis to yield a sensitivity measurement representative of an effect of variation of the respective parameter on the performance requirements. The computer may then generate a ranking of the baseline parameters according to their corresponding sensitivity measurements.

Automatic ranking of design parameter significance for fast and accurate CAE-based design space exploration using parameter sensitivity feedback

A method for processing a three-dimensional (3D) mesh model includes receiving a 3D mesh model. One or more regions including a potential sharp cusp are automatically detected. The automatically detected one or more regions are displayed to a user and an active region of the 3D mesh model is defined by the user. Sphere fitting and Laplacian smoothing are applied to the designated active region to remove a sharp cusp therefrom and to obtain a modified 3D mesh model.

Removing sharp cusps from 3D shapes for additive manufacturing

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

Methods for structure preserving topology optimization of lattice structures for additive manufacturing. A method includes receiving an initial lattice model, a physical objective of the initial lattice model to be optimized, forces to be applied to the initial lattice model and their respective locations, and an optimal volume ratio for an optimized lattice model, computing a bounding box of the initial lattice model and an axis-aligned voxel grid, computing an implicit scalar field representation of an initial volume ratio of the initial lattice model, mapping the loads to their respective locations in the axis-aligned voxel grid, performing an additive topology optimization on the initial lattice model to create the optimized lattice model until the initial volume ratio satisfies the optimal volume ratio, and storing the optimized lattice model.

Method for structure preserving topology optimization of lattice structures for additive manufacturing

A method for designing a personalized medical device includes receiving a template design of a medical device. An image including a patient anatomical geometry is acquired. The template design is combined with the image including the patient anatomical geometry to create a custom medical device design. A region of interest encompassing the sharp concave edge is automatically identified within the custom medical device design using one or more seed points received from a user. Surface smoothing of the custom medical device design is performed within the region of interest to bolster a thickness of the custom medical device design. A 3D-printable model is obtained from the surface smoothed custom medical device design.

Growing community of inventors

Princeton, NJ, United States of America

Erhan Arisoy