Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms
Author:
Funder
Australian Research Council
Publisher
Elsevier BV
Subject
Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials
Reference82 articles.
1. The study of the laser parameters and environment variables effect on mechanical properties of high compact parts elaborated by selective laser melting 316L powder;Zhang;Mater. Sci. Eng. A,2013
2. Investigation the effect of particle size distribution on processing parameters optimisation in selective laser melting process;Liu,2011
3. Use of power factor and specific point energy as design parameters in laser powder-bed-fusion (L-PBF) of AlSi10Mg alloy;Zavala-Arredondo;Mater. Des.,2019
4. Processing AlSi10Mg by selective laser melting: parameter optimisation and material characterisation;Kempen;Mater. Sci. Technol.,2015
5. Controlling interdependent meso-nanosecond dynamics and defect generation in metal 3D printing;Khairallah;Science,2020
Cited by 175 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. In-situ laser surface remelting of laser powder bed fused AlSi10Mg alloy at argon and nitrogen protective gases: Multiscale analysis;Optics & Laser Technology;2025-02
2. Fabrication of filigree parts via laser powder bed fusion: From melt spots to stents;Optics & Laser Technology;2025-01
3. From crack-prone to crack-free: Eliminating cracks in additively manufacturing of high-strength Mg2Si-modified Al-Mg-Si alloys;Journal of Materials Science & Technology;2025-01
4. The effect of micro- and mesoscale heterogeneity on the fracture of laser powder bed fusion processed duplex stainless steels;Scripta Materialia;2025-01
5. Recent advances in machine learning-assisted fatigue life prediction of additive manufactured metallic materials: A review;Journal of Materials Science & Technology;2024-11
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3