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公开(公告)号：US11359273B2
公开(公告)日：2022-06-14
申请号：US15749720
申请日：2016-07-26
Applicant: Honeywell International Inc.
Inventor： Stephane Ferrasse , Suresh Sundarraj , Frank C. Alford , Jeffrey J. Schaefer , Susan D. Strothers
Abstract: A sputtering target comprising a forged aluminum material having an average grain size between about 15 and 55 microns. The aluminum material has at least one of the following: a homogeneous texture with minimal texture banding as measured by banding factor B below about 0.01; a texture gradient H of less than 0.2; or either weak (200) texture or near random texture characterized by maximum intensity of inverse pole figure less than 3 times random in multiple directions.
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公开(公告)号：US20210354396A1
公开(公告)日：2021-11-18
申请号：US16872618
申请日：2020-05-12
Applicant: HONEYWELL INTERNATIONAL INC.
Inventor： John Bowler , Gregory Colvin , Suresh Sundarraj
IPC: B29C64/393 , B29C64/273 , B29C64/245
Abstract: Systems and methods resolve stresses in additive manufacturing. A stress resolution profile including frequency and amplitude parameters of an ultrasonic input are determined based on physical properties of the product. Successive layers of a material are added and energy is applied to incorporate the material of each layer into the product. An ultrasonic input is applied with the determined parameters to resolve stress as the product is built up. The ultrasonic input is varied as a depth of the material incorporated into the product increases.
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公开(公告)号：US20230391015A1
公开(公告)日：2023-12-07
申请号：US18449027
申请日：2023-08-14
Applicant: HONEYWELL INTERNATIONAL INC.
Inventor： John Bowler , Gregory Colvin , Suresh Sundarraj
IPC: B29C64/393 , B29C64/245 , B29C64/273
CPC classification number: B29C64/393 , B29C64/245 , B29C64/273
Abstract: Systems and methods resolve stresses in additive manufacturing. A stress resolution profile including frequency and amplitude parameters of an ultrasonic input are determined based on physical properties of the product. Successive layers of a material are added and energy is applied to incorporate the material of each layer into the product. An ultrasonic input is applied with the determined parameters to resolve stress as the product is built up. The ultrasonic input is varied as a depth of the material incorporated into the product increases.
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公开(公告)号：US11009863B2
公开(公告)日：2021-05-18
申请号：US16008621
申请日：2018-06-14
Applicant: HONEYWELL INTERNATIONAL INC.
Inventor： Raj Mohan Bharadwaj , Andrew Peter Vechart , Suresh Sundarraj , Piyush Ranade
Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.
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Patent Agency Ranking
公开(公告)号：US20180223420A1
公开(公告)日：2018-08-09
申请号：US15749720
申请日：2016-07-26
Applicant: Honeywell International Inc.
Inventor： Stephane Ferrasse , Suresh Sundarraj , Frank C. Alford , Jeffrey J. Schaefer , Susan D. Strothers
CPC classification number: C23C14/3414 , B21J5/02 , C22C21/00 , C22C21/12 , C22F1/057
Abstract: A sputtering target comprising a forged aluminum material having an average grain size between about 15 and 55 microns. The aluminum material has at least one of the following: a homogeneous texture with minimal texture banding as measured by banding factor B below about 0.01; a texture gradient H of less than 0.2; or either weak (200) texture or near random texture characterized by maximum intensity of inverse pole figure less than 3 times random in multiple directions.
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公开(公告)号：US20180044761A1
公开(公告)日：2018-02-15
申请号：US15556564
申请日：2016-02-25
Applicant: Honeywell International Inc.
Inventor： Glenn M. Mitchell , Suresh Sundarraj , Wayne D. Meyer , Jianxing Li , David E. Steele , Marc D. Ruggiero
CPC classification number: C22B9/05 , B22D1/002 , B22D21/027
Abstract: A method of purifying and casting a material comprising placing a material to be purified within a crucible, the crucible located within a purification chamber; providing thermal energy to the material to maintain the material in a molten state; providing a purification gas into the molten material to purify the material until a first measured condition is attained; passing the material in a fluid state from the purification chamber having a first atmosphere to a casting chamber having a second atmosphere, the purification chamber in fluid communication with the casting chamber such that the material passes from the purification chamber to the casting chamber without exposure to a third atmosphere; placing the material into a mold within the casting chamber; cooling the material within the mold to form a cast material.
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公开(公告)号：US11772330B2
公开(公告)日：2023-10-03
申请号：US16872618
申请日：2020-05-12
Applicant: HONEYWELL INTERNATIONAL INC.
Inventor： John Bowler , Gregory Colvin , Suresh Sundarraj
IPC: B29C64/393 , B29C64/245 , B29C64/273
CPC classification number: B29C64/393 , B29C64/245 , B29C64/273
Abstract: Prior to manufacturing a product by additive manufacturing, a stress relief profile including frequency and amplitude parameters of an ultrasonic input is determined based on physical properties of the product, including resonant frequencies of the product and a material from which the product is manufactured. Successive layers of a material are added and energy is applied to incorporate the material of each layer into the product. A processor accesses stress relief profile parameters for each layer, determines whether a layer requires stress relief and determines a frequency and a power level for the stress relief at the layer. An ultrasonic input is applied with the determined parameters to relieve stress as the product is built up.
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公开(公告)号：US20210191381A1
公开(公告)日：2021-06-24
申请号：US17190988
申请日：2021-03-03
Applicant: HONEYWELL INTERNATIONAL INC.
Inventor： Raj Mohan Bharadwaj , Andrew Peter Vechart , Suresh Sundarraj , Piyush Ranade
Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.
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公开(公告)号：US20190384274A1
公开(公告)日：2019-12-19
申请号：US16008621
申请日：2018-06-14
Applicant: HONEYWELL INTERNATIONAL INC.
Inventor： Raj Mohan Bharadwaj , Andrew Peter Vechart , Suresh Sundarraj , Piyush Ranade
Abstract: A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.
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