An experimental investigation on 3d printing of PETG-KF-based composites: optimization of process parameters for improved mechanical properties

复合材料 材料科学 过程(计算) 工艺工程 机械工程 计算机科学 工程类 操作系统
作者
Sandeep Varma Kuchampudi,Kunjee Lal Meena,Rama Bhadri Raju Chekuri
出处
期刊:Cogent engineering [Informa]
卷期号:11 (1)
标识
DOI:10.1080/23311916.2024.2379989
摘要

In the field of additive manufacturing, Fused Filament Fabrication (FFF) is a prominent techniques used to create elaborate three-dimensional objects without wasting materials. 3D-printing technology has been revolutionized with the polymer Polyethylene Terephthalate Glycol (PETG), replacing traditional polymers because of its chemical toughness and mechanical strength. In addition, composites made of PETG, especially those reinforced with fibers, have proven their versatility in different fields. However, the key issue is to prepare PETG composites with optimal mechanical performance throughout their service life, which requires precise fine-tuning of printing parameters. Therefore, this study attempted to optimize several process parameters, including orientation, print speed, layer height, and infill density, to achieve the full potential of printed aramid-fiber-reinforced PETG (PETG-KF) composites. The specimens were manufactured carefully according to the L16 orthogonal array, which ensured full variation of the parameters using Taguchi optimization. Following this, a comprehensive Analysis of Variance was performed with a 95% confidence interval as a support, which allowed for a comprehensive evaluation of the effects of the printing parameters on the bending properties. Based on the results, the optimal performance in bending properties of PETG-KF materials was achieved at a printing speed of 80 mm/s, 0.20 mm layer height, and 100% infill-density. This study not only elucidates the complex process of optimizing 3D-printing parameters but also offers valuable insights into improving the mechanical properties of PETG-KF-based composites. In addition, the investigation covers various mechanical attributes, including Ultimate Tensile Strength, hardness, fatigue resistance, and impact strength, which show significant improvement in 3D-printing.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI2S应助陶醉的熊采纳,获得10
刚刚
。。。。。。完成签到,获得积分10
刚刚
科研通AI2S应助寒冷雨竹采纳,获得10
刚刚
2秒前
浮山发布了新的文献求助10
2秒前
蘵檒关注了科研通微信公众号
4秒前
4秒前
dachengzi发布了新的文献求助10
5秒前
lilycat发布了新的文献求助10
6秒前
7秒前
7秒前
7秒前
7秒前
张ljgkk关注了科研通微信公众号
7秒前
8秒前
魁梧的败完成签到,获得积分20
8秒前
yfy完成签到 ,获得积分10
9秒前
move发布了新的文献求助10
9秒前
海绵宝宝发布了新的文献求助10
9秒前
akasoeiji发布了新的文献求助10
9秒前
10秒前
11秒前
饱满的苗条完成签到,获得积分10
11秒前
rrt发布了新的文献求助10
13秒前
13秒前
爆米花应助vain采纳,获得10
14秒前
zhangjianan发布了新的文献求助10
14秒前
听风发布了新的文献求助20
16秒前
我是老大应助zorow采纳,获得10
16秒前
16秒前
我爱我的国完成签到,获得积分10
17秒前
NPC应助火星上藏鸟采纳,获得10
18秒前
东十八发布了新的文献求助10
18秒前
20秒前
fifteen应助han采纳,获得10
20秒前
21秒前
wanci应助炒山药采纳,获得10
21秒前
21秒前
昵称发布了新的文献求助10
22秒前
23秒前
高分求助中
求国内可以测试或购买Loschmidt cell(或相同原理器件)的机构信息 1000
The Heath Anthology of American Literature: Early Nineteenth Century 1800 - 1865 Vol. B 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Machine Learning for Polymer Informatics 500
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
2024 Medicinal Chemistry Reviews 480
Women in Power in Post-Communist Parliaments 450
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3219123
求助须知:如何正确求助?哪些是违规求助? 2868054
关于积分的说明 8159169
捐赠科研通 2535055
什么是DOI,文献DOI怎么找? 1367494
科研通“疑难数据库(出版商)”最低求助积分说明 645052
邀请新用户注册赠送积分活动 618243