Federated learning enables privacy-preserving and data-efficient dimension prediction and part qualification across additive manufacturing factories

Author:

Mehta MananORCID,Bimrose Miles V.,McGregor Davis J.,King William P.,Shao ChenhuiORCID

Publisher

Elsevier BV

Reference58 articles.

1. A comprehensive review of emerging additive manufacturing (3d printing technology): Methods, materials, applications, challenges, trends and future potential;Praveena;Mater Today: Proc,2022

2. Review on additive manufacturing and non-destructive testing;Ramírez;J Manuf Syst,2023

3. Elastic and failure response of imperfect three-dimensional metallic lattices: the role of geometric defects induced by selective laser melting;Liu;J Mech Phys Solids,2017

4. The effect of processing parameters on the mechanical characteristics of pla produced by a 3d fff printer;Gonabadi;Int J Adv Manuf Technol,2020

5. Tensile properties and failure behavior of chopped and continuous carbon fiber composites produced by additive manufacturing;Naranjo-Lozada;Addit Manuf,2019

同舟云学术

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