Multi-Scale Modeling of Crack Nucleation and Growth in Additively Manufactured Alloys

Metadata Updated: February 28, 2019

Additive manufacturing (AM) promises growth in design space, increased speed of production, and decreased cost to aircraft and space technology engineering. For this new process to be fully integrated into NASA's fabrication pipeline, a comprehensive understanding of component reliability (and therefore, fatigue life and failure) must be obtained. Thus, the goals of this project are to provide definitive results outlining the strength and reliability of AM materials for NASA, as well as to provide a digital platform and methodology for further tests. The approach to this project involves two parallel thrusts: -I will explore the effect of defects characteristic of AM (voids, inclusions, and impurities) on fatigue life in order to better comprehend the governing modes of AM fracture initiation in NASA mission environments. Specifically, I will study short crack nucleation from these defects in aluminum, a popular material in both AM and aerospace applications. -I will undertake this exploration via atomistic-scale simulation, using physics-based models which will be applicable to a wide range of defect sizes and load cases. One large challenge I expect to encounter is the inherent computational intensity of atomistic simulation. Though much progress has been made with respect to efficiently computing these experiments in a tractable clock time, the desire for larger atomistic windows will always persist, and the veracity of my results must always be interpreted with this in mind. The outcomes of this project are designed to help NASA effectively utilize AM technology now and in the future. Instead of long wait times on costly experiments, this software will allow for the characterization of new materials and new AM processes computationally. This will shorten the pipeline between material development and mission implementation, as well as be useful as a design tool for exploring new materials and AM methods. Additionally, these results will be applicable to all.

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Public: This dataset is intended for public access and use. License: U.S. Government Work

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Dates

Metadata Created Date August 1, 2018
Metadata Updated Date February 28, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date February 28, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_91554
Maintainer
TECHPORT SUPPORT
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id d76a1098-d863-4aaa-9164-e905b2a41640
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2017-08-01
Homepage URL https://techport.nasa.gov/view/91554
License http://www.usa.gov/publicdomain/label/1.0/
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 2afdc55ecaeaa456c3322d61fbbf3281c771dc2d
Source Schema Version 1.1

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