Recycling of Selective Laser Sintering Waste Nylon Powders into Fused Filament Fabrication Parts Reinforced with Mg Particles

材料科学 抗弯强度 极限抗拉强度 复合材料 吸水率 弯曲模量 复合数 烧结 杨氏模量 选择性激光烧结 蛋白质丝
作者
Mohammad Uddin,Daniel Williams,Anton Blencowe
出处
期刊:Polymers [Multidisciplinary Digital Publishing Institute]
卷期号:13 (13): 2046-2046 被引量:29
标识
DOI:10.3390/polym13132046
摘要

This paper presents recycling of selective laser sintering (SLS) waste nylon into printable filaments and parts reinforced with Mg particles. Waste nylon and waste-Mg powder mixture with 2%, 4%, and 8% Mg to nylon were extruded into the filaments. Moisture absorption, differential scanning calorimetry, and melt flow index experiments were conducted to determine the thermal characteristics, while tensile and flexural tests were conducted to evaluate mechanical properties and failure mechanisms. The results were compared with off-the-self (OTS) nylon. Waste powder was found to be extrudable and printable as FFF filament. Waste filament diameter closely matched standard filament size, while exhibiting reduced moisture absorption. High melting and crystallisation temperature for the waste nylon demonstrated a degradation of the plastic during the SLS process. Young's modulus and ultimate tensile strength for the waste filament increased by 1.6-fold compared to that for OTS, while Mg-composite filament surpassed the waste and OTS. Waste and Mg composite dog bone results showed an increase in strength and stiffness, but the ductility deteriorated. Both flexural strength and modulus for the waste nylon increased by 13% and 26%, respectively, over OTS, and the addition of Mg enhanced flexural strength by up to 5-fold at 8% Mg over the waste. Printed surface topography demonstrated that the waste and Mg composite filaments can print the parts with desired geometric shapes and acceptable surface texture. The findings showed that recycling waste SLS powder into FFF prints would be a viable and useful alternative to disposal, given its abundance.
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
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
可爱的函函应助mhb115采纳,获得10
1秒前
aajhajkahna应助奋斗的静竹采纳,获得10
3秒前
Akim应助尹小才采纳,获得10
3秒前
vanco发布了新的文献求助10
5秒前
杂草的生活完成签到,获得积分10
5秒前
雷电法王桃大师完成签到,获得积分10
8秒前
8秒前
9秒前
深情安青应助典雅雅容采纳,获得10
10秒前
11秒前
BEMJ完成签到,获得积分10
13秒前
DDL发布了新的文献求助10
16秒前
16秒前
思源应助derlun采纳,获得10
17秒前
Stella完成签到,获得积分10
17秒前
理想三寻完成签到,获得积分10
17秒前
Untitled完成签到,获得积分10
17秒前
Traveller发布了新的文献求助10
17秒前
Jasper应助可恶的鼠采纳,获得10
18秒前
18秒前
xc完成签到,获得积分10
19秒前
21秒前
星辰大海应助Lin采纳,获得10
21秒前
xtdexy发布了新的文献求助10
21秒前
22秒前
就爱炸元宵完成签到,获得积分10
22秒前
24秒前
最好完成签到,获得积分10
24秒前
25秒前
WhiteSand完成签到,获得积分10
25秒前
Solitude完成签到,获得积分10
26秒前
李爱国应助seven采纳,获得10
26秒前
八级大狂风完成签到,获得积分10
26秒前
27秒前
kyoko886完成签到,获得积分10
27秒前
luckydog完成签到 ,获得积分10
27秒前
李麟发布了新的文献求助10
27秒前
过小完成签到 ,获得积分10
27秒前
1123完成签到,获得积分10
28秒前
99发布了新的文献求助10
28秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7629518
求助须知:如何正确求助?哪些是违规求助? 9203974
关于积分的说明 19736300
捐赠科研通 7199027
什么是DOI,文献DOI怎么找? 3274277
关于科研通互助平台的介绍 2436423
邀请新用户注册赠送积分活动 2270424