Suppr超能文献

通过分析力学性能敏感性开发用于激光定向能量沉积的坚固钢合金

Development of Robust Steel Alloys for Laser-Directed Energy Deposition via Analysis of Mechanical Property Sensitivities.

作者信息

Kelley Jonathan, Newkirk Joseph W, Bartlett Laura N, Isanaka Sriram Praneeth, Sparks Todd, Alipour Saeid, Liou Frank

机构信息

Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, Rolla, MO 65409, USA.

Department of Nuclear Engineering and Radiation Science, Missouri University of Science and Technology, Rolla, MO 65409, USA.

出版信息

Micromachines (Basel). 2024 Sep 24;15(10):1180. doi: 10.3390/mi15101180.

Abstract

To ensure consistent performance of additively manufactured metal parts, it is advantageous to identify alloys that are robust to process variations. This paper investigates the effect of steel alloy composition on mechanical property robustness in laser-directed energy deposition (L-DED). In situ blending of ultra-high-strength low-alloy steel (UHSLA) and pure iron powders produced 10 compositions containing 10-100 wt% UHSLA. Samples were deposited using a novel configuration that enabled rapid collection of hardness data. The Vickers hardness sensitivity of each alloy was evaluated with respect to laser power and interlayer delay time. Yield strength (YS) and ultimate tensile strength (UTS) sensitivities of five select alloys were investigated in a subsequent experiment. Microstructure analysis revealed that cooling rate-driven phase fluctuations between lath martensite and upper bainite were a key factor leading to high hardness sensitivity. By keeping the UHSLA content ≤20% or ≥70%, the microstructure transformed primarily to ferrite or martensite, respectively, which generally corresponded to improved robustness. Above 70% UHSLA, the YS sensitivity remained low while the UTS sensitivity increased. This finding, coupled with the observation of auto-tempered martensite at lower cooling rates, may suggest a strong response of the work hardening capability to auto-tempering at higher alloy contents. This work demonstrates a methodology for incorporating robust design into the development of alloys for additive manufacturing.

摘要

为确保增材制造金属零件性能的一致性,识别对工艺变化具有鲁棒性的合金是有利的。本文研究了钢合金成分对激光定向能量沉积(L-DED)中力学性能鲁棒性的影响。通过原位混合超高强度低合金钢(UHSLA)和纯铁粉制备了10种成分,其中UHSLA含量为10-100 wt%。使用一种能够快速收集硬度数据的新型配置来沉积样品。评估了每种合金的维氏硬度对激光功率和层间延迟时间的敏感性。在后续实验中研究了五种选定合金的屈服强度(YS)和抗拉强度(UTS)敏感性。微观结构分析表明,板条马氏体和上贝氏体之间由冷却速率驱动的相波动是导致高硬度敏感性的关键因素。通过将UHSLA含量保持在≤20%或≥70%,微观结构分别主要转变为铁素体或马氏体,这通常对应于鲁棒性提高。当UHSLA含量高于70%时,YS敏感性保持较低,而UTS敏感性增加。这一发现,再加上在较低冷却速率下观察到自回火马氏体,可能表明在较高合金含量下加工硬化能力对自回火有强烈响应。这项工作展示了一种将鲁棒设计纳入增材制造合金开发的方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验