Additive manufacturing of fatigue resistant materials: Challenges and opportunities
Additive manufacturing of fatigue resistant materials: Challenges and opportunities
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DOI：
10.1016/j.ijfatigue.2017.01.001
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发表时间：
2017-05-01
影响因子：
6
通讯作者：
Shamsaei, Nima
中科院分区：
文献类型：
--
作者：
Yadollahi, Aref;Shamsaei, Nima
本概述侧重于与通过增材制造（AM）制造的金属零件的机械特性有关的知识现状，以及制造具有更高抗疲劳性的材料的持续挑战和即将到来的机遇。目前的实验证据表明，实验室AM试样的机械性能可能不代表与零件相关的机械性能，主要是由于几何形状/尺寸的差异影响制造过程中经历的热历史，因此，微观结构特征，表面粗糙度等。此外，机械测试方法、试样设计程序、制造后处理等标准，可能需要修改AM部件。AM工艺的标准化只能通过加强对工艺参数、热历史、凝固、所得微观结构和零件机械性能之间关系的当前理解来实现。具有基于所得微观结构预测机械行为变化的能力，或根据负载临界平面匹配部件的最佳可想象的特性，是使AM成为生产功能部件的更可靠手段的一些可能的解决方案。开发微观结构-性能模型可以说是朝着设计优化和更有效、更准确地估计增材制造零件结构完整性迈出的必要的第一步。(C)2017爱思唯尔有限公司版权所有
This overview focuses on the current state of knowledge pertaining to the mechanical characteristics of metallic parts fabricated via additive manufacturing (AM), as well as the ongoing challenges and imminent opportunities in fabricating materials with increased fatigue resistance. Current experimental evidence suggests that the mechanical properties of laboratory AM specimens may not be representative of those associated with parts, due primarily to differences in geometry/size which influence the thermal histories experienced during fabrication, and consequently, microstructural features, surface roughness, and more. In addition, standards for mechanical testing methods, specimen design procedures, post manufacturing treatments, etc., may need to be revised for AM parts. Standardizing the AM process may only be accomplished by strengthening the current understanding of the relationships among process parameters, thermal history, solidification, resultant microstructure, and mechanical behavior of the part. Having the ability to predict variations in mechanical behavior based on resultant microstructure, or matching the best conceivable properties of a part in accordance with the loading critical plane, are some possible solutions for making AM a more reliable means for producing functional parts. Developing microstructure-property models is arguably the first necessary step toward design optimization and the more efficient, accurate estimation of the structural integrity of AM parts. (C) 2017 Elsevier Ltd. All rights reserved.