Manufacturing Decision Tree Model Optimization for Finishing Additive Manufactured Components, Phase I

Metadata Updated: May 2, 2019

This Phase I program addresses the challenge of gaining the necessary knowledge needed to support certification of additive manufacturing (AM) hardware and achieving the desired surface finish and mechanical properties on high value components produced by AM. To achieve this goal Faraday Technology Inc., will work with team members at UES Inc., CalRAM Inc., Keystone Synergistic Enterprise Inc., and REM Surface Engineering to develop the necessary empirical knowledge to produce a manufacturing decision tree model (MDTM) that will enable the part designer to reduce the cycle time required produce the desired part with the required surface finish. The MDTM will be designed to select the appropriate build pathway to form the desired component and improve the as-built surface finish on the required areas while also determining the necessary secondary steps to achieve the desired surface finish on all required surfaces. With this teams combined expertise range from AM part building [ARCAM (E-BEAM), SLM (LASER), Wire Fed (E-BEAM)], secondary AM part finishing [electrochemical and isotropic], and post process AM material evaluation (tensile and microstructural characterization) we will be able to diagnose the best manufacturing cycle to reduce time and cost while ensuring the functionality of the produced material is maintained through each processing step. It is envisioned that the outcome of this Phase I/II program would be a working MDTM that has the potential to diagnose the best manufacturing pathway to produce a wide range of high-value components with various shapes and contours.

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

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Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_93624
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190501230127
Harvest Object Id f5bf86a0-5f96-475b-8ed4-858df4572c6a
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2017-12-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 925d5fc3cfc4661ce749ab767dafcf91d12804da
Source Schema Version 1.1

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