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Currently there is a lack of AM parts in high-performance applications, due to a lack of publicly available high-fidelity data that has associated metadata . Solving this problem is not trivial, since the large number of AM machine manufacturers, large number of process variables, evolution of machine control software/hardware versions, and the lack of standard measurement methods and test protocols for AM materials make it difficult and extremely expensive for private industry to develop consensus materials property data that has a good pedigree. This problem is also not currently solved in a uniform way. Rather, individual companies use home-made methods, or existing material standards that are not AM-specific, nor necessarily AM-appropriate, in a case-by-case manner. Our approach is to develop new characterization methods that expand or replace traditional material characterization methods in order to qualify and quantify the unique attribute of AM materials. NIST will deliver new measurement methods, protocols, exemplar data, and databases. The impact of these deliverables will be accelerated proliferation of AM parts in high-performance applications that can benefit from AM's unique capabilities. This impact will be of particular benefit to those industries that can take advantage of highly-complex, customized metal parts that can be made via AM, such as the aerospace, bio-medical, and defense industries. It is appropriate for NIST to work on this, since, in addition to NIST's traditional reputation of producing open and neutral solutions that benefit entire industries, NIST has the requisite standards leadership and world-class expertise in the multiple disciplines required for this product's success.
Objective - Deliver new standardized material characterization methods, exemplar data, and databases to accelerate the design and use of additive manufacturing parts in high-performance (ii) applications.
In order to accomplish this we will (1) Empirically determine the dependence of AM part mechanical properties on input powder properties; (2) Develop new characterization methods for measuring the properties of AM parts and powders; (3) Design and construct an AM materials database for high-fidelity material data; and (4) populate the database with exemplar data, garnered from round robin tests.
In order to accomplish this we will (1) Empirically determine the dependence of AM part mechanical properties on input powder properties; (2) Develop new characterization methods for measuring the properties of AM parts and powders; (3) Design and construct a demonstration AM materials database for high-fidelity material data; and (4) populate the demonstration database with exemplar data, garnered from round robin tests. The demonstration database will (a) be focused on those processes and materials addressed in the NIST-managed AM materials round robins, (b) be developed in conjunction with similar external efforts to develop high-fidelity design-allowable AM material databases, and (c) utilize data schema that are being developed by external collaborators.
1By this we mean data that has associated with it a full understanding of how the data was generated, i.e., pedigreed data.
Start Date:October 1, 2013
Lead Organizational Unit:el
Related Programs and Projects:
Alkan Donmez, Project Leader
301 975 6618 Telephone
100 Bureau Drive, M/S 8230