Integration of Fast Predictive Model and SLM Process Development Chamber, Phase I

Metadata Updated: November 12, 2020

This STTR project seeks to develop a fast predictive model for selective laser melting (SLM) processes and then integrate that model with an SLM chamber that allows full control of process variables and is equipped with in-process sensors. The combination will create a closed loop in which the model suggests process parameter settings for test builds and the sensors provide feedback to the model. This creates a powerful tool for iterative process development far faster than is currently possible by standard simulation methods and accessible to a wide range of potential SLM innovators who are not simulation specialists. The key innovation will be the development of a simple set of empirical equations that relate SLM process inputs to actual build results. This is accomplished by a combination of finite element simulations and verification experiments whose process parameters are selected by a design-of-experiments methodology. The resulting easily calculable empirical functions (a.k.a. the fast predictive model) will replace arduous simulation and undirected trial-and-error as methods of SLM process development. A user-friendly interface will be written that links the fast predictive model to sensorized SLM chamber to allow easy, rapid and flexible SLM process development. The simplicity of the system, and relatively low cost of the SLM chamber will allow large numbers of new innovators and industries to enter the field of SLM and develop novel processes that meet their application needs, as well as help solve specific problems of NASA interest.
Phase I activities include 1) development of the fast predictive model, 2) development of a control algorithm and user interface linking the model to the SLM chamber, and 3) demonstration of the integrated system for rapid development of novel SLM processes.

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Identifier TECHPORT_33654
Data First Published 2016-06-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Homepage URL
Program Code 026:027
Source Datajson Identifier True
Source Hash 61201126143b1319b0f2b993087163adfbd4f833
Source Schema Version 1.1

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