Experimental investigation and statistical modelling for assessing the tensile properties of FDM fabricated parts
Author:
Publisher
Elsevier BV
Subject
General Engineering,Energy Engineering and Power Technology
Reference11 articles.
1. Determination of the optimal part orientation in layered manufacturing using a genetic algorithm;Byun;International Journal of Production Research,2005
2. Genetic-algorithm-based multiobjective optimization of the build orientation in stereolithography;Canellidis;International Journal of Advanced Manufacturing Technology,2009
3. A fast and elitist multiobjective genetic algorithm: NSGA-II;Deb;IEEE Transactions on Evolutionary Computation,2002
4. Multi-objective optimisation of strength and volumetric shrinkage of FDM parts;Gurrala;Virtual and Physical Prototyping,2014
5. Optimal part deposition orientation in FDM by using a multicriteria genetic algorithm;Pandey;International Journal of Production Research,2004
Cited by 23 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. A novel model to estimate the structural properties of PLA-FFF components along any non-orthogonal direction;Rapid Prototyping Journal;2024-09-10
2. Multi-objective Bayesian optimization of fused filament fabrication parameters for enhanced specific fracture energy in PLA-carbon fiber composites;Advanced Manufacturing: Polymer & Composites Science;2024-08-24
3. Investigation into Influence of Tensile Properties When Varying Print Settings of 3D-Printed Polylactic Acid Parts: Numerical Model and Validation;Polymers;2024-08-08
4. Experimental and statistical study of strength properties of FDM-printed specimens made from ABS, PLA and PETG plastics depending on the percentage and structure of filling;2024-07-16
5. Tensile Properties Estimation of 3D Printed Polylactic Acid Samples via Process Parameters using Data-Driven Methods;2024 7th International Conference on Information Technologies in Engineering Education (Inforino);2024-04-16
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