General Electric Company

Ananda Barua

Changjie Sun

Sathyanarayanan Raghavan

Daniel Jason Erno

Arunkumar Natarajan

Arun Karthi Subramaniyan

Ken Ivcar Salas Nobrega

Neelesh Nandkumar Sarawate

Vadim Bromberg

Darren Lee Hallman

Arvind Rangarajan

Kenneth Martin Lewis

Prabhjot Singh

Larry Steven Rosenzweig

Dean Michael Robinson

Raymond Floyd Martell

Yu Mukherjee

Joshua Tyler Mook

Kwok Pong Chan

Xi Yang

Mary Kathryn Thompson

Brendon James Leary

Aigbedion Akwara

Jinjie Shi

Shenyan Huang

Wenfeng Lu

Anthony Joseph Vinciquerra

Min Zou

Vandana Prabhakar Rallabandi

William Christopher Alberts

Wanming Zhang

Evan John Dozier

Uttara Vijay Kumar

Jordan Tesorero

Joseph Block

Gautam Suresh Naik

Yongxiang Wang

Meghan J Borz

John Francis Morrison

An article of manufacture includes a part structure formed via a first additive manufacturing process and a floating structure within the part structure which is mechanically decoupled from the part structure. The floating structure is formed concurrently with the part structure via the first additive manufacturing process.

Powder removal floating structures

Methods for manufacturing dual phase soft magnetic components include combining a plurality of soft ferromagnetic particles with a plurality of paramagnetic particles to form a component structure, wherein the plurality of soft ferromagnetic particles each comprise an electrically insulative coating, and, heat treating the component structure to consolidate the plurality of soft ferromagnetic particles with the plurality of paramagnetic particles.

Dual phase soft magnetic particle combinations, components and manufacturing methods

Various embodiments provide a method of additively manufacturing a part including depositing a layer of a powder on a working surface, depositing a binder solution on the layer of the powder at first locations, and depositing a sintering aid solution on the layer of the powder at second locations. The sintering aid solution comprises a sintering aid in a solvent. In various embodiments, the sintering aid enables an increased brown strength as compared to parts containing unbound powder. The method enables binders that provide high green strength to be used at the edges of the part, while also balancing a shortened debind time with an increased brown strength. Embodiments in which binder solution is deposited according to a predetermined pattern at second locations are also described.

Method of edge printing for use in additive manufacturing processes

A method of predicting a post-sintering geometry of a green body part includes determining stress differentiating material properties of a material configuration of the green body part by physically measuring the stress differentiating material properties of the material configuration and identifying a plurality of stress regions in the green body part via a first sintering analysis of the green body part. Each stress region is associated with a portion of the green body part subjected to a particular stress state during sintering. The method also includes assigning different sets of stress differentiating material properties to each of the plurality of stress regions to form a stress-simulated green body part and predicting the post-sintering geometry via a second sintering analysis of the stress-simulated green body part.

Systems and method for predicting distortion of green body parts during sintering

A method of generating a distortion-compensated geometry for a workpiece includes generating a green body part geometry for the workpiece, discretizing the green body part geometry into a green body part mesh and performing a first sintering analysis on the green body part mesh to generate a post-sintering mesh based on the green body part mesh, the post-sintering mesh including a plurality of post-sintering mesh nodes. The method also includes co-registering the post-sintering mesh and a model mesh having a geometry corresponding to the three-dimensional model, the model mesh including a plurality of model mesh nodes. For each of the plurality of post-sintering mesh nodes, a displacement between a post-sintering mesh node and a corresponding model mesh nodes is determined, and the green body mesh may be adjusted based on the displacement to generate the distortion-compensated geometry.

Systems and methods for compensating a geometry of a green body part based on sintering-induced distortion

According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a distortion and correction module comprising a processor, a defined geometry for one or more parts, wherein the parts are manufactured with an additive manufacturing machine; discretizing the defined geometry into a mesh including a plurality of nodes; predicting a distortion of a position of each node of the plurality of nodes; determining whether the predicted distortion position exceeds a pre-set tolerance; determining an adjusted pre-distortion position for each node of the plurality of nodes when the predicted distortion position exceeds the pre-set tolerance; predicting a distortion of the adjusted determined pre-distortion position for each node of the plurality of nodes; determining whether the distortion of the determined adjusted pre-distortion position exceeds the pre-set tolerance; and printing the part when one of the predicted distortion position and the predicted adjusted pre-distortion position is below the pre-set tolerance. Numerous other aspects are provided.

Method for distortion prediction and compensation for sintering of binder jet printed parts

A system includes a memory module configured to store a computer model of a part for manufacturing with an additive manufacturing machine, and a processor communicatively coupled to the memory module. The processor is configured to receive the computer model, discretize the computer model into a mesh, predict a deformation behavior the plurality of nodes of the mesh under a simulated sintering process, determine a buckling factor for the part based on the predicted deformation behavior of the mesh, determine whether the buckling factor exceeds a threshold, in response to determining that the buckling factor exceeds the threshold, export the computer model to the additive manufacturing machine for pre-build processing, and in response to determining that the buckling factor does not exceeds the threshold, output, to a display of the system, at least one of an alert that the part is unstable or the buckling factor.

System and method for identifying distortion-compensation threshold for sintering parts with complex features

An industrial asset item definition data store may contain at least one electronic record defining the industrial asset item. An automated support structure creation platform may include a support structure optimization computer processor. The automated support structure optimization computer processor may be adapted to automatically create support structure geometry data associated with an additive printing process for the industrial asset item. The creation may be performed via an iterative loop between a build process simulation engine and a topology optimization engine.

Optimizing support structures for additive manufacturing

A method, medium, and system to receive a specification defining a model of a part to be produced by an additive manufacturing (AM) process; execute an AM simulation on the model of the part to determine a prediction of thermal distortions to the part; execute a topology optimization (TO) to create TO supports that counteract the predicted thermal distortions; generate at least one rule-based support based on a geometry of the part to interface with the part at one or more regions other than the TO supports; combining the TO supports and the at least one rule-based support to generate a set of hybrid supports; save a record of the set of hybrid supports; and transmit the record of the set of hybrid supports to an AM controller to control an AM system to generate a support structure for an AM production of the part.

Hybrid support structures for additively printed parts

A method and system to receive a specification defining a model of a part to be produced by an additive manufacturing (AM) process; define a design space to enclose the part and a support structure for the part, the support structure to support the part and printed with the part during the AM process; execute an iterative topology optimization(TO) based at least in part on the specification for the part and the defined design space, to generate a TO support structure that counteracts predicted gravity-based distortions during the AM process; save a record of the generated TO support structure; and transmit the record of the TO support structure to an AM controller, the AM controller to control an AM system to generate an instance of the part and the TO support structure based on the record.

Optimized support design for sintering parts with complex features

A method, medium, and system to execute an additive manufacturing (AM) simulation on a model of a part; determine, based on the AM simulation, a prediction of a temperature and displacement distribution in the part at a particular time in the AM process; apply the predicted temperature and displacement distributions in the part as a boundary conditions on a support design space to determine a temperature distribution throughout the support design space; and execute a thermal-structural topology optimization based on the determined temperature and displacement distributions throughout the support design space to determine a distribution of material in the design space for a thermal support structure to interface with the part that optimally reduces a thermal gradient in the part with a minimum of material and results in the generation of an optimized AM support structure.

Multiphysics automated support generation for additively manufactured components

According to some embodiments, a system may include a design experience data store containing electronic records associated with prior industrial asset item designs. A deep learning model platform, coupled to the design experience data store, may include a communication port to receive constraint and load information from a designer device. The deep learning platform may further include a computer processor adapted to automatically and generatively create boundaries and geometries, using a deep learning model associated with an additive manufacturing process, for an industrial asset item based on the prior industrial asset item designs and the received constraint and load information. According to some embodiments, the deep learning model computer processor is further to receive design adjustments from the designer device. The received design adjustments might be for example, used to execute an optimization process and/or be fed back to continually re-train the deep learning model.

Framework for rapid additive design with generative techniques

A method includes assembling a setter assembly onto a binder-jet printed part, wherein the setter assembly includes a base, a top setter, a bottom setter positioned between the base and the top setter, and a support pin extending between the base and the top setter having a terminus that abuts an inward facing surface of the top setter, such that at least portion of the binder-jet printed part is nested between the top setter and the bottom setter. The method includes heating the binder-jet printed part and the setter assembly to debind or sinter the binder-jet printed part, wherein a length of the support pin decreases in response to the heating to move the top setter toward the base.

Setter assembly for additive manufacturing

A binder jet printed article includes a part having a top portion, a bottom portion, and an overhang extending from the top portion and a support structure formed around the part that may block deformation of the part during post-printing thermal processing. The support structure includes a skid positioned adjacent to the bottom portion that may support the part, a first plurality of support features disposed along an outer perimeter of the skid, and a second plurality of support features disposed on the top portion of the printed part. The first and second plurality of support features form a lattice around the printed part such that the printed part is nested within the support structure.

Growing community of inventors

Schenectady, NY, United States of America

Ananda Barua