General Electric Company

Justin John Gambone, Jr

William Thomas Carter

Subhrajit Roychowdhury

Marshall Gordon Jones

David Charles Bogdan, Jr

Lang Yuan

Vipul Kumar Gupta

Kevin George Harding

Michael Evans Graham

Jason Harris Karp

Harry Kirk Mathews, Jr

Victor Petrovich Ostroverkhov

Xiaohu Ping

Lembit Salasoo

Naresh Sundaram Iyer

Jinjie Shi

Laura Cerully Dial

Thomas Charles Adcock

Timothy Hanlon

James William Sears

John Joseph Madelone, Jr

Natarajan Chennimalai Kumar

Randal T Rausch

John Erik Hershey

James Anthony Ruud

Trevor Howard Wood

Lawrence Bernard Kool

Kishore Ramakrishnan

Daniel Jason Erno

Xiaolei Shi

Darren Lee Hallman

Thomas Graham Spears

Jixian Yao

Anthony Joseph Vinciquerra

Scott Michael Miller

Brian Scott McCarthy

Scott Michael Oppenheimer

Thomas Malkus

Rachel Wyn Levine

Ruijie Shi

Voramon Supatarawanich Dheeradhada

Andrew David Deal

Keith Edward James Blodgett

Erica Elizabeth Sampson

Mengli Wang

Alexander T Chen

John Madelone

Anthony J Vinciquerra, Iii

Christine Mary Furstoss

Victor Petrovish Ostroverkhov

An additive manufacturing system including a housing configured to contain a powder bed of material, and an array of laser emitters having a field of view. The array is configured to melt at least a portion of the powder bed within the field of view as the array translates relative to the powder bed. The system further includes a spatter collection device including a diffuser configured to discharge a stream of gas across the powder bed, and a collector configured to receive the stream of gas and contaminants entrained in the stream of gas. The collector is spaced from the diffuser such that a collection zone is defined therebetween, and the spatter collection device is configured to translate relative to the powder bed such that the collection zone overlaps with the field of view of the array.

Additive manufacturing system and method of forming an object in a powder bed

A cascade thrust reverser assembly for a gas turbine engine includes a nacelle assembly defining a bypass passage. The cascade thrust reverser assembly includes a cascade assembly configured to be at least partially enclosed by the nacelle assembly, the cascade assembly comprising one or more cascade members, the one or more cascade members movable between a stowed configuration wherein the one or more cascade members define a first radial extent and a deployed configuration wherein the one or more cascade members define a second radial extent, wherein the one or more cascade members form a cascade segment in the deployed configuration, and wherein the second radial extent is greater than the first radial extent.

Cascade thrust reverser assembly for a gas turbine engine

Determining a quality score for a part manufactured by an additive manufacturing machine based on build parameters and sensor data without the need for extensive physical testing of the part. Sensor data is received from the additive manufacturing machine during manufacture of the part using a first set of build parameters. The first set of build parameters is received. A first algorithm is applied to the first set of build parameters and the received sensor data to generate a quality score. The first algorithm is trained by receiving a reference derived from physical measurements performed on at least one reference part built using a reference set of build parameters. The quality score is output via the communication interface of the device.

System and methods for determining a quality score for a part manufactured by an additive manufacturing machine

According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a parameter development module comprising a processor, a defined geometry for one or more parts, wherein the parts are manufactured with an additive manufacturing machine, and wherein a stack is formed from one or more parts; fabricating the one or more parts with the additive manufacturing machine based on a first parameter set; collecting in-situ monitoring data from one or more in-situ monitoring systems of the additive manufacturing machine for one or more parts; determining whether each stack should receive an additional part based on an analysis of the collected in-situ monitoring data; and fabricating each additional part based on the determination the stack should receive the additional part. Numerous other aspects are provided.

In-situ monitoring system assisted material and parameter development for additive manufacturing

An additive manufacturing system includes a first laser device configured to generate a first laser beam and a second laser device configured to generate a second laser beam. The laser scanning devices include a first laser scanning device and a second laser scanning device. The first laser scanning device is configured to selectively direct the first laser beam from the first laser devices across a powder bed along a plurality of first hatching paths and a first contour path along a contour of the solid component. The second laser scanning device is configured to selectively direct the second laser beam from the second laser devices across the powder bed along a plurality of second hatching paths and a second contour path along the contour of the solid component. The first contour path includes a first hook extending into the plurality of second hatching paths.

System and methods for contour stitching in additive manufacturing systems

A method of additive manufacturing machine (AMM) build process control includes obtaining AMM machine and process parameter settings, accessing sensor data for monitored physical conditions in the AMM, calculating a difference between expected AMM physical conditions and elements of the monitored conditions, providing the machine and process parameter settings, monitored conditions, and differences to one or more material property prediction models, computing a predicted value or range for the monitored conditions, comparing the predicted value or range to a predetermined target range, based on a determination that predicted value(s) are within the predetermined range, maintaining the machine and process parameter settings, or based on a determination that one or more of the predicted value(s) is outside the predetermined range, generating commands to compensate the machine and process parameter settings, and repeating the closed feedback loop at intervals of time during the build process. A system and a non-transitory medium are also disclosed.

Quality assessment feedback control loop for additive manufacturing

An additive manufacturing system configured to manufacture a component including scan strategies for efficient utilization of one or more laser arrays. The additive manufacturing system includes at least one laser device, each configured as a laser array, and a build platform. Each laser device is configured to generate a plurality of laser beams. The component is disposed on the build platform. The at least one laser device is configured to sweep across the component and the build platform in at least one of a radial direction, a circumferential direction or a modified zig-zag pattern and simultaneously operate the one or more of the plurality of individually operable laser beams corresponding to a pattern of the layer of a build to generate successive layers of a melted powdered material on the component and the build platform corresponding to the pattern of the layer of the build. A method of manufacturing a component with the additive manufacturing system is also disclosed.

Scan strategies for efficient utilization of laser arrays in direct metal laser melting (DMLM)

A method of calibrating an additive manufacturing machine includes obtaining a model for the additive manufacturing machine, obtaining a baseline sensor data set for a particular additive manufacturing machine, creating a machine-specific nominal fingerprint for the particular additive manufacturing machine with controllable variation for one or more process inputs, producing on the particular additive manufacturing machine a test-page based object, obtaining a current sensor data set of the test-page based object on the particular additive manufacturing machine, estimating a scaling factor or a bias for each of the one or more process inputs from the current data set, and updating a calibration file for the particular additive machine if the estimated scaling error or bias are greater than a respective predetermined tolerance. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.

Additive manufacturing machine calibration based on a test-page based object

According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a platform comprising a segmentation module and a processor, a defined geometry for one or more geometric structures forming one or more parts, wherein the parts are manufactured with an additive manufacturing machine; generating a build file including an initial parameter set to fabricate each part; fabricating the part based on the build file; receiving sensor data for the fabricated part; generating a parameter set for each layer that forms the part, via execution of an iterative learning control process for each layer; generating raw power data for each layer that forms the part, using the processor, based on the generated parameter set; applying a noise reduction process to the raw power data; and generating a segmented build file, using the segmentation module, via application of the noise reduction process on the raw power data. Numerous other aspects are provided.

Sensor based smart segmentation

An additive manufacturing system includes a laser device, a build plate, a first scanning device, and an alignment system. The laser device is configured to generate a laser beam. The build plate has a position relative to the laser device. The first scanning device is configured to selectively direct the laser beam across the build plate. The laser beam generates a melt pool on the build plate. The alignment system includes a fiducial marks projector configured to project a plurality of fiducial marks across the build plate. Each fiducial mark has a location on the build plate. The alignment system also includes an optical detector configured to detect the location of each of the fiducial marks on the build plate. The alignment system is configured to detect the position of the build plate relative to the laser device.

Systems and methods for additive manufacturing in-build assessment and correction of laser pointing accuracy

A component is fabricated in a powder bed by moving a laser array across the powder bed. The laser array includes a plurality of laser devices. The power output of each laser device of the plurality of laser devices is independently controlled. The laser array emits a plurality of energy beams from a plurality of selected laser devices of the plurality of laser devices to generate a melt pool in the powder bed. A non-uniform energy intensity profile is generated by the plurality of selected laser devices. The non-uniform energy intensity profile facilitates generating a melt pool that has a predetermined characteristic.

System and methods for fabricating a component with laser array

A method includes applying thermal and/or strain modeling to the CAD representation of an object. In addition, scan path data is generated based at least in part on a result of the thermal and/or strain modeling. A build file comprising the scan path data is generated. The build file comprises instructions that configure an additive manufacturing tool to generate the object according to the scan path data.

Methods and apparatus for generating additive manufacturing scan paths using thermal and strain modeling

A method of manufacturing a component using an additive manufacturing system is provided. The method includes providing a build file on a controller of the additive manufacturing system. The build file includes at least one generating function, at least one seed value, and at least one function parameter. The method also includes generating a curve that corresponds to the component based on the at least one generating function, the at least one seed value, and the at least one function parameter. The method further includes positioning a material on a surface. The method further includes determining, using the controller, a plurality of set points for a consolidation device. The plurality of set points are located along the curve. The method also includes operating the consolidation device of the additive manufacturing system to consolidate the material.

System and method for controlling an additive manufacturing system

An additive manufacturing system is configured to manufacture a component. The additive manufacturing system includes a laser device, a build platform, a first scanning device, and an air knife. The laser device is configured to generate a laser beam. The component is disposed on the build platform. The air knife is configured to channel an inert gas across the build platform. The first scanning device is configured to selectively direct the laser beam across the build platform. The laser beam is configured to generate successive layers of a melted powdered build material on the component and the build platform. The build platform is configured to rotate the component relative to the air knife.

Systems and methods for additive manufacturing rotating build platforms

Growing community of inventors

Watervliet, NY, United States of America

Justin John Gambone, Jr