期刊
COMPUTATIONAL MECHANICS
卷 57, 期 4, 页码 583-610出版社
SPRINGER
DOI: 10.1007/s00466-015-1240-4
关键词
Additive manufacturing; Non-equilibrium processes; Multiscale modeling; Materials design; Process-structure-property
资金
- National Institute of Standards and Technology (NIST)
- Center for Hierarchical Materials Design (CHiMaD) [70NANB13H194, 70NANB14H012]
- United States Department of Defense through the National Defense Science and Engineering Graduate (NDSEG) fellowship award
- United States National Science Foundation (NSF) through the NSF Graduate Research Fellowship Program (GRFP) [DGE-1324585]
Additive manufacturing (AM) methods for rapid prototyping of 3D materials (3D printing) have become increasingly popular with a particular recent emphasis on those methods used for metallic materials. These processes typically involve an accumulation of cyclic phase changes. The widespread interest in these methods is largely stimulated by their unique ability to create components of considerable complexity. However, modeling such processes is exceedingly difficult due to the highly localized and drastic material evolution that often occurs over the course of the manufacture time of each component. Final product characterization and validation are currently driven primarily by experimental means as a result of the lack of robust modeling procedures. In the present work, the authors discuss primary detrimental hurdles that have plagued effective modeling of AM methods for metallic materials while also providing logical speculation into preferable research directions for overcoming these hurdles. The primary focus of this work encompasses the specific areas of high-performance computing, multiscale modeling, materials characterization, process modeling, experimentation, and validation for final product performance of additively manufactured metallic components.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据