Honeywell International Inc.

Suresh Sundarraj

John Bowler

Gregory Colvin

Stephane Ferrasse

Susan D Strothers

Frank C Alford

Raj Mohan Bharadwaj

Andrew Peter Vechart

Piyush Ranade

Jeffrey J Schaefer

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.

Tunable system and method for stress resolution in additive manufacturing

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.

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.

Frictionless forged aluminum alloy sputtering target with improved properties

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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West Richland, WA, United States of America

Suresh Sundarraj