Microhardness and wear resistance in materials manufactured by laser powder bed fusion: Machine learning approach for property prediction
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering
Reference54 articles.
1. Process Optimization, Microstructures and Mechanical Properties of a Cu-based Shape Memory Alloy Fabricated by Selective Laser Melting;Tian;Journal of Alloys and Compounds,2019
2. Selective Laser Melting Processing of 316L Stainless Steel: Effect of Microstructural Differences Along Building Direction on Corrosion Behavior;Lin;International Journal of Advanced Manufacturing Technology,2019
3. Determination of a Process Window with Consideration of Effective Layer Thickness in SLM Process;Ahn;International Journal of Advanced Manufacturing Technology,2019
4. Mitigation of Lack of Fusion Defects in Powder Bed Fusion Additive Manufacturing;Mukherjee;Journal of Manufacturing Processes,2018
5. Reducing Lack of Fusion During Selective Laser Melting of CoCrMo Alloy: Effect of Laser Power on Geometrical Features of Tracks;Darvish;Materials and Design,2016
Cited by 13 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. Comprehensive review: Advancements in modeling geometrical and mechanical characteristics of laser powder bed fusion process;Optics & Laser Technology;2025-01
2. Microstructural differences and mechanical performance of stainless steel 316L conventionally processed versus a selective laser melted;Progress in Additive Manufacturing;2024-09-09
3. Developing a data-driven system for grinding process parameter optimization using machine learning and metaheuristic algorithms;CIRP Journal of Manufacturing Science and Technology;2024-07
4. Multilinear Regression Predictive Analysis of Additive Manufactured High-Carbon Steel Powder;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02
5. Enhanced wear and corrosion resistance of the laser direct metal deposited AISI 316L stainless steel by in-situ interstitial N alloying;Optics & Laser Technology;2024-04
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