Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials

Amir Ziabari; Luke Scime; Zackary Snow; John Coleman; Amra Peles; Gerry Knapp; Chase Joslin; Sarah Graham; Andres Marquez Rossy; Ryan Dehoff

doi:10.2172/1997704

Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials

Amir Ziabari
, Luke Scime
, Zackary Snow
, John Coleman
, Amra Peles
, Gerry Knapp
, Chase Joslin
, Sarah Graham
, Andres Marquez Rossy
, Ryan Dehoff

Research output: Other contribution › Technical Report

Abstract

This report is part of work package CR-22OR0406012, Automated, High-Throughput Materials Characterization Techniques, under the Advanced Materials and Manufacturing Technologies program (AMMT). The project’s primary objective is to leverage our AI-based rapid and high-throughput automated characterization framework to qualify additively manufactured 316 materials comprehensively, focusing on optimizing the additive manufacturing process and evaluating the performance of 3D-printed stainless steel components. This report outlines our strategy for leveraging the automated characterization process for qualifying 316H materials.

Original language	English
Place of Publication	United States
DOIs	https://doi.org/10.2172/1997704
State	Published - 2023

Keywords

36 MATERIALS SCIENCE

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10.2172/1997704

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title = "Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials",

abstract = "This report is part of work package CR-22OR0406012, Automated, High-Throughput Materials Characterization Techniques, under the Advanced Materials and Manufacturing Technologies program (AMMT). The project{\textquoteright}s primary objective is to leverage our AI-based rapid and high-throughput automated characterization framework to qualify additively manufactured 316 materials comprehensively, focusing on optimizing the additive manufacturing process and evaluating the performance of 3D-printed stainless steel components. This report outlines our strategy for leveraging the automated characterization process for qualifying 316H materials.",

keywords = "36 MATERIALS SCIENCE",

author = "Amir Ziabari and Luke Scime and Zackary Snow and John Coleman and Amra Peles and Gerry Knapp and Chase Joslin and Sarah Graham and \{Marquez Rossy\}, Andres and Ryan Dehoff",

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doi = "10.2172/1997704",

language = "English",

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AU - Ziabari, Amir

AU - Scime, Luke

AU - Snow, Zackary

AU - Coleman, John

AU - Peles, Amra

AU - Knapp, Gerry

AU - Joslin, Chase

AU - Graham, Sarah

AU - Marquez Rossy, Andres

AU - Dehoff, Ryan

PY - 2023

Y1 - 2023

N2 - This report is part of work package CR-22OR0406012, Automated, High-Throughput Materials Characterization Techniques, under the Advanced Materials and Manufacturing Technologies program (AMMT). The project’s primary objective is to leverage our AI-based rapid and high-throughput automated characterization framework to qualify additively manufactured 316 materials comprehensively, focusing on optimizing the additive manufacturing process and evaluating the performance of 3D-printed stainless steel components. This report outlines our strategy for leveraging the automated characterization process for qualifying 316H materials.

AB - This report is part of work package CR-22OR0406012, Automated, High-Throughput Materials Characterization Techniques, under the Advanced Materials and Manufacturing Technologies program (AMMT). The project’s primary objective is to leverage our AI-based rapid and high-throughput automated characterization framework to qualify additively manufactured 316 materials comprehensively, focusing on optimizing the additive manufacturing process and evaluating the performance of 3D-printed stainless steel components. This report outlines our strategy for leveraging the automated characterization process for qualifying 316H materials.

KW - 36 MATERIALS SCIENCE

U2 - 10.2172/1997704

DO - 10.2172/1997704

M3 - Technical Report

CY - United States

ER -

Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials

Abstract

Keywords

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