Temperature field simulation and optimization of processing parameters for laser-assisted machining of 3Y-TZP ceramics

材料科学 陶瓷 机械加工 激光器 领域(数学) 机械工程 光学 复合材料 冶金 物理 数学 工程类 纯数学
作者
Miao Xu,Haiyun Zhang,Yugang Zhao,Zengbo Zhang,Jinjian Zhang,Yuewu Gao,Weisheng Lin
出处
期刊:Optics and Laser Technology [Elsevier BV]
卷期号:175: 110878-110878 被引量:5
标识
DOI:10.1016/j.optlastec.2024.110878
摘要

To obtain low surface roughness in the laser-assisted machining of 3Y-TZP ceramics, a laser-assisted heating model of 3Y-TZP ceramics was established. The temperature field in the cutting zone was simulated using ABAQUS software to analyze the effects of laser power, rotational speed, and warm-up time on softening layer depth (distance between the workpiece surface and lower boundary of softening layer) and thickness (distance between the upper and lower boundaries of softening layer). Furthermore, the accuracy of the simulation results was verified through experiments. The Plackett-Burman design, Steepest ascent experiment, and Box-Behnken design method were used sequentially to optimize process parameters, and the surface quality, chip morphology, and tool wear of 3Y-TZP ceramic with laser-assisted cutting and traditional cutting were compared under the best process parameters. The results show that the rotational speed and laser power are the main factors influencing the softening layer depth and thickness, and the suitable warm-up time is 15 s; the most influential factor on the surface roughness is the cutting depth, and the optimized process parameter combinations for the best surface roughness are as follows: laser power of 90.3 W, rotational speed of 400 r/min, cutting depth of 0.21 mm, and feed speed of 4.4 mm/min; with laser-assisted, the surface roughness value of the workpiece is reduced by 54.12 %, the amount of tool wear is reduced by 56.5 %, the chip morphology is transformed from powder to strip with a length of more than 50 μm, and the primary material removal mode is changed from brittle removal to plastic removal.
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
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
刚刚
江岚发布了新的文献求助10
1秒前
英吉利25发布了新的文献求助10
1秒前
一二三发布了新的文献求助10
1秒前
科研通AI5应助阿乾采纳,获得10
1秒前
wanci应助迅速的映冬采纳,获得10
3秒前
量子星尘发布了新的文献求助50
3秒前
灵巧绿兰发布了新的文献求助10
4秒前
科研通AI5应助LXF采纳,获得10
4秒前
Sunny完成签到,获得积分10
6秒前
6秒前
星辰大海应助小胡采纳,获得30
6秒前
声波不敏感完成签到,获得积分10
7秒前
8秒前
deswin完成签到,获得积分10
8秒前
杨谊完成签到 ,获得积分10
9秒前
9秒前
9秒前
mookie发布了新的文献求助10
9秒前
姚驰发布了新的文献求助30
10秒前
11秒前
追风发布了新的文献求助10
12秒前
12秒前
我是老大应助ACE采纳,获得10
15秒前
15秒前
何海发布了新的文献求助10
15秒前
甜蜜寄灵完成签到,获得积分20
15秒前
牙牙完成签到,获得积分10
15秒前
15秒前
YumiPg发布了新的文献求助10
16秒前
包包糖在摸鱼完成签到 ,获得积分10
16秒前
追风完成签到,获得积分10
16秒前
Stamina678完成签到,获得积分10
17秒前
量子星尘发布了新的文献求助10
17秒前
18秒前
18秒前
19秒前
20秒前
在水一方应助何海采纳,获得10
20秒前
22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
Acute Mountain Sickness 2000
The Social Work Ethics Casebook(2nd,Frederic G. R) 600
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
Thomas Hobbes' Mechanical Conception of Nature 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
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 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5089378
求助须知:如何正确求助?哪些是违规求助? 4304127
关于积分的说明 13413480
捐赠科研通 4129704
什么是DOI,文献DOI怎么找? 2261721
邀请新用户注册赠送积分活动 1265791
关于科研通互助平台的介绍 1200360