Maximizing performance and efficiency in 3D printing of polylactic acid biomaterials: Unveiling of microstructural morphology, and implications of process parameters and modeling of the mechanical strength, surface roughness, print time, and print energy for fused filament fabricated (FFF) bioparts

聚乳酸 极限抗拉强度 填充 抗弯强度 材料科学 表面粗糙度 熔丝制造 复合材料 3D打印 表面光洁度 复合数 结构工程 聚合物 工程类
作者
Ray Tahir Mushtaq,Li Wang,Chengwei Bao,Mudassar Rehman,Shubham Sharma,Aqib Mashood Khan,ElSayed M. Tag El-Din,Mohamed Abbas
出处
期刊:International Journal of Biological Macromolecules [Elsevier]
卷期号:259: 129201-129201 被引量:9
标识
DOI:10.1016/j.ijbiomac.2024.129201
摘要

Medical stents, artificial teeth, and grafts are just some of the many applications for additive manufacturing techniques like bio-degradable polylactic acid 3D printing. However, there are drawbacks associated with fused filament fabrication-fabricated objects, including poor surface quality, insufficient mechanical strength, and a lengthy construction time for even a relatively small object. Thus, this study aims to identify the finest polylactic acid 3D printing parameters to maximize print quality while minimizing energy use, print time, flexural and tensile strengths, average surface roughness, and print time, respectively. Specifically, the infill density, printing speed, and layer thickness are all variables that were selected. A full-central-composite design generated 20 samples to test the prediction models' experimental procedures. Validation trial tests were used to show that the experimental findings agreed with the predictions, and analysis of variance was used to verify the importance of the performance characteristics (ANOVA). At layer thickness = 0.26 mm, infill density = 84 %, and print speed = 68.87 mm/s, the following optimized values were measured for PLA: flexural strength = 70.1 MPa, tensile strength = 39.2 MPa, minimum surface roughness = 7.8 μm, print time = 47 min, and print energy = 0.18 kwh. Firms and clinicians may benefit from utilizing the developed, model to better predict the required surface characteristic for various aspects afore trials.
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
1秒前
Sunny完成签到,获得积分10
1秒前
高兴的羊完成签到,获得积分10
3秒前
serein发布了新的文献求助30
3秒前
4秒前
万能图书馆应助漂亮幻莲采纳,获得10
5秒前
6秒前
谢紫玲发布了新的文献求助10
6秒前
7秒前
华仔应助小大巫采纳,获得30
9秒前
sad完成签到,获得积分10
9秒前
充电宝应助ziwei采纳,获得10
9秒前
华仔应助甜甜寄凡采纳,获得10
9秒前
求助发布了新的文献求助10
9秒前
调研昵称发布了新的文献求助10
12秒前
12秒前
asd发布了新的文献求助10
13秒前
14秒前
14秒前
豆子完成签到,获得积分10
15秒前
漂亮幻莲完成签到,获得积分10
16秒前
16秒前
17秒前
17秒前
23xyke发布了新的文献求助10
18秒前
漂亮幻莲发布了新的文献求助10
18秒前
谢紫玲完成签到,获得积分10
19秒前
19秒前
咕咕完成签到,获得积分10
21秒前
毛儿豆儿完成签到,获得积分10
23秒前
张远幸发布了新的文献求助10
23秒前
甜甜寄凡发布了新的文献求助10
24秒前
24秒前
ziwei完成签到,获得积分10
24秒前
gaoww完成签到,获得积分20
24秒前
科目三应助饱满的山柳采纳,获得30
25秒前
斯文败类应助小耳朵采纳,获得10
27秒前
Annie发布了新的文献求助10
29秒前
ddn完成签到,获得积分10
30秒前
不驯完成签到 ,获得积分10
34秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
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 3135044
求助须知:如何正确求助?哪些是违规求助? 2786005
关于积分的说明 7774726
捐赠科研通 2441825
什么是DOI,文献DOI怎么找? 1298217
科研通“疑难数据库(出版商)”最低求助积分说明 625088
版权声明 600825