Invited review article: Metal-additive manufacturing-Modeling strategies for application-optimized designs

被引：195

作者：

Bandyopadhyay, Amit ^{[1
]}

Traxel, Kellen D. ^{[1
]}

机构：

[1] Washington State Univ, Sch Mech & Mat Engn, WM Keck Biomed Mat Res Lab, Pullman, WA 99164 USA

来源：

ADDITIVE MANUFACTURING | 2018年 / 22卷

基金：

美国国家科学基金会;

关键词：

Metal additive manufacturing; 3D printing; Thermomechanical modeling; Finite element methods; Residual stress; POWDER-BED FUSION; FUNCTIONALLY GRADED MATERIALS; 304L STAINLESS-STEEL; FINITE-ELEMENT MODEL; IN-SITU DISTORTION; RESIDUAL-STRESS; THERMOMECHANICAL MODEL; TOPOLOGY OPTIMIZATION; MELTING PROCESS; EXPERIMENTAL VALIDATION;

D O I：

10.1016/j.addma.2018.06.024

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Next generation, additively-manufactured metallic parts will be designed with application-optimized geometry, composition, and functionality. Manufacturers and researchers have investigated various techniques for increasing the reliability of the metal-AM process to create these components, however, understanding and manipulating the complex phenomena that occurs within the printed component during processing remains a formidable challenge limiting the use of these unique design capabilities. Among various approaches, thermomechanical modeling has emerged as a technique for increasing the reliability of metal-AM processes, however, most literature is specialized and challenging to interpret for users unfamiliar with numerical modeling techniques. This review article highlights fundamental modeling strategies, considerations, and results, as well as validation techniques using experimental data. A discussion of emerging research areas where simulation will enhance the metal-AM optimization process is presented, as well as a potential modeling workflow for process optimization. This review is envisioned to provide an essential framework on modeling techniques to supplement the experimental optimization process.

引用

页码：758 / 774

页数：17

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