Analysis and Experimental Investigation of Powder Concentration and Stirring Velocity on Powder Mixed Electrical Discharge Machining Performance with 3D Printed Electrodes

电火花加工 电极 材料科学 机械加工 复合材料 放电 冶金 化学 物理化学
作者
Rajnitu Rakshaskar,K. Chidambaram
出处
期刊:Results in engineering [Elsevier BV]
卷期号:: 102450-102450
标识
DOI:10.1016/j.rineng.2024.102450
摘要

In this work, CuO mixed lemon peel dielectric is used along with the 3D printed aluminium electrodes to enhance the electrical discharge machining (EDM) performance. This work mainly focuses on improving the surface quality by optimizing the powder concentration and stirring velocity. A full factorial of 27 experiments is carried out with input parameters such as pulse off time with 3 levels (28, 58 and 98 μs), powder concentration with 3 levels (1, 2 and 3 g/L) and stirring velocity with 3 levels (900, 1800 and 2700 rpm), while keeping the current, pulse on and voltage as constant. For all trials, the output responses viz. surface roughness (SR) and material removal rate (MRR) are noted. It is evidenced that EDM performance is influenced by the stability of powder mixed dielectric. To understand the most influential input parameter and its level, analysis of variance (ANOVA) and grey relational analysis (GRA) are carried out. The output analysis exhibited that powder concentration of 2 g/L, stirring velocity of 1800 rpm and pulse off time of 28 μs as the best combination for the best quality of finish (4.72 μm) with high MRR (0.0035 g/min) than the 1 g/L PC with 900 rpm SV for the best quality finish (5.87 μm) along high MRR (0.0029 g/min) and 3 g/L PC with 2700 rpm SV for the best quality finish (5.38 μm) with high MRR (0.0030 g/min) having pulse off time of 28 μs. The experimental findings are validated with a 3D surface plot and SEM images taken on the machined surface. Also, a simulation model is built to understand the flow velocity profiles. This helps ensure the minimum stirring velocity to be maintained to enhance the stability of powder mixed dielectric.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
分析发布了新的文献求助20
刚刚
1秒前
ytrewq完成签到 ,获得积分10
1秒前
3秒前
文艺不凡完成签到,获得积分10
6秒前
gzj发布了新的文献求助10
7秒前
7秒前
叶y发布了新的文献求助10
7秒前
Angenstern完成签到 ,获得积分10
11秒前
泽灵发布了新的文献求助50
13秒前
xmk完成签到 ,获得积分10
13秒前
隐形曼青应助xixixixi采纳,获得10
14秒前
科研通AI2S应助src采纳,获得10
15秒前
15秒前
夏虫发布了新的文献求助10
16秒前
熊囧囧发布了新的文献求助10
17秒前
小二郎应助移液枪是什么采纳,获得10
21秒前
22秒前
研友_V8QBrL完成签到,获得积分10
23秒前
chunjun完成签到,获得积分10
24秒前
熊囧囧完成签到,获得积分10
25秒前
Ava应助阿烨采纳,获得10
26秒前
tmxx发布了新的文献求助10
26秒前
27秒前
27秒前
动听乐珍发布了新的文献求助30
28秒前
28秒前
今后应助泽灵采纳,获得10
29秒前
非要叫我起个昵称完成签到,获得积分10
31秒前
32秒前
32秒前
梧桐发布了新的文献求助10
33秒前
33秒前
36秒前
FashionBoy应助小明采纳,获得10
37秒前
可靠半青完成签到 ,获得积分10
38秒前
38秒前
在水一方应助狂野的山雁采纳,获得10
39秒前
wdl关闭了wdl文献求助
40秒前
41秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3961041
求助须知:如何正确求助?哪些是违规求助? 3507280
关于积分的说明 11135306
捐赠科研通 3239705
什么是DOI,文献DOI怎么找? 1790347
邀请新用户注册赠送积分活动 872359
科研通“疑难数据库(出版商)”最低求助积分说明 803150