Effect of FDM process parameters on mechanical properties of 3D-printed carbon fibre–PLA composite
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40964-020-00145-3.pdf
Reference15 articles.
1. Boschetto A, Bottini L (2014) Accuracy prediction in fused deposition modeling. Int J Adv Manuf Technol 73(5–8):913–928
2. De Laurentis KJ, Mavroidis C (2004) Rapid fabrication of a non-assembly robotic hand with embedded components. Assem Autom 24(4):394–405
3. Thomas DS, Gilbert SW (2014) Costs and cost effectiveness of additive manufacturing. NIST Spec Publ 1176:12
4. Basavaraj CK, Vishwas M (2016) Studies on effect of fused deposition modelling process parameters on ultimate tensile strength and dimensional accuracy of nylon. In IOP conference series: materials science and engineering, 149(1): 012035. IOP Publishing, Bristol.
5. Griffiths CA, Howarth J, Rowbotham GDA, Rees A (2016) Effect of build parameters on processing efficiency and material performance in fused deposition modelling. Proc CIRP 49:28–32
Cited by 114 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. Coupled heat transfer–crystallization analysis in continuous carbon fiber-reinforced thermoplastic composites 3D printing: simulation and experimental validation;Progress in Additive Manufacturing;2024-09-10
2. Modelling and prediction of mechanical properties of FFF-printed polycarbonate parts using ML and DA hybrid approach;Colloid and Polymer Science;2024-09-07
3. Editorial for the Special Issue on Additive Manufacturing of Advanced Composites;Journal of Composites Science;2024-09-03
4. An experimental study on the wear performance of 3D printed polylactic acid and carbon fiber reinforced polylactic acid parts: Effect of infill rate and water absorption time;Polymer Composites;2024-09-02
5. Machine learning-assisted prediction modeling for anisotropic flexural strength variations in fused filament fabrication of graphene reinforced poly-lactic acid composites;Progress in Additive Manufacturing;2024-08-26
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