Laser Engraving Processes on AISI 304 Stainless Steel: A Multi-Objective Optimization Approach

雕刻 激光器 材料科学 冶金 复合材料 光学 物理
作者
Ademola Samuel Abegunde,Olatunji Oladimeji Ojo,Peter Kayode Farayibi,Adekanmi Miracle Adeyinka
出处
期刊:Journal of Engineering Research and Reports [Sciencedomain International]
卷期号:26 (11): 313-331
标识
DOI:10.9734/jerr/2024/v26i111333
摘要

Laser engraving is becoming a preferred alternative to conventional machining for industrial post-processing due to its higher accuracy and elimination of tooling challenges. It is widely used for creating precise engravings on components in industries such as aeronautics, medical devices, printing, and general aesthetic applications. This research is developed around AISI 304 stainless steel based on its versatile use in various applications, investigating the influence of key laser engraving processing parameters such as laser power, scan speed, exposure time, and number of passes on output characteristics such as surface roughness, kerf width, engraving depth, and material removal rate. Analysis of variance and main effect plots were used to determine the optimal parameters for individual response while multi-response optimization to obtain a unified parametric combination was done by combining principal component analysis with a grey relational approach. The best combination of these processing parameters obtained for the multi-response optimization is (1, 0, 0, -1) which implies 15 W laser power, 28.57 mm/s scan speed, exposure time of 20 ms and (1) no of pass. The study has been able to establish that integration of grey relational analysis and principal component analysis shows a robust approach in investigating multi-objective optimization of processes.

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
wittig完成签到,获得积分10
刚刚
1秒前
Sophie应助安静的嘚嘚采纳,获得10
1秒前
传奇3应助judy123采纳,获得10
1秒前
1秒前
酷波er应助元谷雪采纳,获得10
1秒前
2秒前
Orange应助迅速的采珊采纳,获得30
2秒前
Miao发布了新的文献求助10
3秒前
柒七完成签到,获得积分10
3秒前
风轻云淡发布了新的文献求助10
4秒前
Hyy发布了新的文献求助10
4秒前
4秒前
4秒前
zxy完成签到,获得积分10
5秒前
小丸子完成签到,获得积分20
6秒前
6秒前
6秒前
糖卜里卜发布了新的文献求助10
7秒前
琉璃爱吃鱼完成签到 ,获得积分10
7秒前
faye完成签到,获得积分10
7秒前
幸运鱼完成签到,获得积分10
7秒前
丁凛完成签到,获得积分10
7秒前
滚滚完成签到,获得积分10
7秒前
owldan完成签到,获得积分10
8秒前
zxy发布了新的文献求助10
8秒前
9秒前
酷波er应助Din采纳,获得10
9秒前
科研通AI6.1应助许可991127采纳,获得10
9秒前
10秒前
内向映天发布了新的文献求助10
10秒前
10秒前
10秒前
11秒前
11秒前
11秒前
Grace0610发布了新的文献求助10
11秒前
ZXW发布了新的文献求助10
12秒前
量子星尘发布了新的文献求助10
12秒前
12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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Modified letrozole versus GnRH antagonist protocols in ovarian aging women for IVF: An Open-Label, Multicenter, Randomized Controlled Trial 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6063003
求助须知:如何正确求助?哪些是违规求助? 7895366
关于积分的说明 16313096
捐赠科研通 5206329
什么是DOI,文献DOI怎么找? 2785311
邀请新用户注册赠送积分活动 1767947
关于科研通互助平台的介绍 1647471