Investigation on selective laser sintering of PA12: dimensional accuracy and mechanical performance

选择性激光烧结 材料科学 微尺度化学 重复性 复合材料 烧结 丝网印刷 机械工程 数学 色谱法 工程类 数学教育 化学
作者
Achille Gazzerro,Wilma Polini,Luca Sorrentino
出处
期刊:Rapid Prototyping Journal [Emerald (MCB UP)]
卷期号:27 (5): 1010-1019 被引量:7
标识
DOI:10.1108/rpj-06-2020-0125
摘要

Purpose Selective laser sintering (SLS) has passed other techniques, thanks to its high print resolution, its ability to print microscale geometries without any additional support, its surface quality and its long-term thermal stability. However, despite the many advantages of SLS compared to fusion deposition modelling, there are still today some limitations on the materials to be printed. A limit critical from an industrial point of view is the aging of PA12 powder, i.e. the degradation of its physical and chemical performances, due to the high temperatures and the long printing cycles, thus involving a decrease of the mechanical properties of the printed parts. The purpose of this study was to charaterize mechanically and dimensionally specimens printed in PA12 through SLS by means of virgin or aged powder, i.e. powder just used for five printing cycles. Design/methodology/approach To achieve this aim, a set of specimens were designed, built, measured and mechanically tested; the obtained results were put into relationship with the values of the process parameters used to print them. Statistical tools to design the experiments and to analyse the obtained results were used. Findings The results show that the SLS process carried out through a Sintratec machine on PA12 powder has a good repeatability. To obtain the best dimensional and mechanical performances, it is needed to use virgin powder and place the part in the central zone of the printing area. Originality/value There are no scientific articles dealing with the influence of both the aging of the powder and the manufacturing parameters on the dimensional and mechanical characterization of specimens printed with SLS technique in PA12.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
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
爆米花应助ne采纳,获得10
1秒前
李子谦完成签到 ,获得积分10
1秒前
Aqk9发布了新的文献求助10
3秒前
5秒前
5秒前
hwq完成签到,获得积分20
5秒前
海大小朱完成签到,获得积分20
6秒前
8秒前
10秒前
10秒前
风趣问兰发布了新的文献求助10
11秒前
Yaon-Xu发布了新的文献求助10
12秒前
14秒前
15秒前
hwq发布了新的文献求助10
16秒前
Aqk9完成签到,获得积分10
16秒前
Elcric发布了新的文献求助10
16秒前
18秒前
SciGPT应助Aqk9采纳,获得10
19秒前
朱大头发布了新的文献求助10
21秒前
21秒前
小树完成签到,获得积分10
22秒前
yolo完成签到 ,获得积分10
22秒前
Akim应助pitaya采纳,获得10
23秒前
北风发布了新的文献求助30
24秒前
淡然冬灵应助浙琳采纳,获得30
26秒前
ding应助hwq采纳,获得10
27秒前
asddsa发布了新的文献求助10
28秒前
朱大头完成签到,获得积分10
29秒前
30秒前
坦率的千柳完成签到 ,获得积分10
32秒前
32秒前
33秒前
沉默的傲芙完成签到,获得积分20
33秒前
微笑的弧度完成签到 ,获得积分10
34秒前
汐鹿完成签到,获得积分10
34秒前
34秒前
哈哈发布了新的文献求助10
35秒前
隐形曼青应助渐变映射采纳,获得10
37秒前
稳重的凡桃完成签到,获得积分10
38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
Les Mantodea de guyane 2500
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Driving under the influence: Epidemiology, etiology, prevention, policy, and treatment 500
生活在欺瞒的年代:傅树介政治斗争回忆录 260
Functional Analysis 200
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5872602
求助须知:如何正确求助?哪些是违规求助? 6490870
关于积分的说明 15669578
捐赠科研通 4989963
什么是DOI,文献DOI怎么找? 2690095
邀请新用户注册赠送积分活动 1632616
关于科研通互助平台的介绍 1590486