Additive Manufacturing of Nickel Superalloys: Opportunities for Innovation and Challenges Related to Qualification

被引：156

作者：

Babu, S. S. ^{[1
]}

Raghavan, N. ^{[2
]}

Raplee, J. ^{[3
]}

Foster, S. J. ^{[4
]}

Frederick, C. ^{[1
]}

Haines, M. ^{[1
]}

Dinwiddie, R. ^{[2
]}

Kirka, M. K. ^{[2
]}

Plotkowski, A. ^{[2
]}

Lee, Y. ^{[2
]}

Dehoff, R. R. ^{[2
]}

机构：

[1] Univ Tennessee, Mech Aerosp & Biomed Engn, 407 Dougherty Engn Bldg,1512 Middle Dr, Knoxville, TN 37934 USA

[2] Oak Ridge Natl Lab, Oak Ridge, TN USA

[3] Arconic, Pittsburgh, PA USA

[4] Oerlikon, Charlotte, NC USA

来源：

METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE | 2018年 / 49A卷 / 09期

关键词：

SCANNING LASER EPITAXY; SITE-SPECIFIC CONTROL; INCONEL; 718; MICROSTRUCTURE EVOLUTION; RESIDUAL-STRESS; HEAT-TRANSFER; MECHANICAL-PROPERTIES; METALLIC COMPONENTS; WELD SOLIDIFICATION; BASE SUPERALLOY;

D O I：

10.1007/s11661-018-4702-4

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Innovative designs for turbines can be achieved by advances in nickel-based superalloys and manufacturing methods, including the adoption of additive manufacturing. In this regard, selective electron beam melting (SEBM) and selective laser melting (SLM) of nickel-based superalloys do provide distinct advantages. Furthermore, the direct energy deposition (DED) processes can be used for repair and reclamation of nickel alloy components. The current paper explores opportunities for innovation and qualification challenges with respect to deployment of AM as a disruptive manufacturing technology. In the first part of the paper, fundamental correlations of processing parameters to defect tendency and microstructure evolution will be explored using DED process. In the second part of the paper, opportunities for innovation in terms of site-specific control of microstructure during processing will be discussed. In the third part of the paper, challenges in qualification of AM parts for service will be discussed and potential methods to alleviate these issues through in situ process monitoring, and big data analytics are proposed.

引用

页码：3764 / 3780

页数：17

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