Integrated Computational Material Engineering Technologies for Additive Manufacturing, Phase I

Metadata Updated: July 17, 2020

QuesTek Innovations, a pioneer in Integrated Computational Materials Engineering (ICME) and a Tibbetts Award recipient, is teaming with University of Pittsburgh, proposing to expand their Materials by Design technology and develop the essential ICME technologies that help optimize the additive manufacturing (AM) process of Inconel Alloy718. One of the biggest hurdles to the adoption of AM of metals is the qualification of additively manufactured parts while currently available systems are based largely on hand-tuned parameters determined by trial-and-error for a limited set of materials with significant uncertainty. A comprehensive ICME approach is needed to address this issue by modeling the process-structure-property chain to predict performance of AM parts. We propose to improve state-of-the-art modeling for AM by coupling FEM codes with materials phase transformation and precipitation simulation software. The Phase I focus on determining the ICME framework architecture and identifying the necessary models as building blocks, as well as key data and experiments for calibration and validation. The resulted ICME tools will enable engineers to develop efficient machines and to optimize and certify AM process and materials, with greatly reduced time, cost, uncertainty, and risk and improved reliability, confidence, and quality assurance.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_93565
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id af391c06-17e6-47ed-86d4-55e2ca3b83e7
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2018-06-01
Homepage URL
Data Last Modified 2020-01-29
Program Code 026:027
Source Datajson Identifier True
Source Hash 67753f2c4a0086f9606e85aea0c4e4b78a781033
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.