Ultra-low damage processing of silicon wafer with an innovative and optimized nonwoven grind-polishing wheel

抛光 研磨 材料科学 磨料 研磨 薄脆饼 表面粗糙度 机械加工 砂轮 化学机械平面化 复合材料 表面光洁度 钻石 磨料加工 表面完整性 冶金 光电子学
作者
Shang Gao,Jinxing Huang,Yu Zhang,Xiaoguang Guo,Renke Kang
出处
标识
DOI:10.1016/j.precisioneng.2024.05.010
摘要

Silicon is essential to the production of integrated circuits and optical components. Grinding is a commonly used method of silicon surface machining, but it often leads to surface and subsurface damage. These damages need to be removed by subsequent processes, typically through polishing. The surface quality generated by grinding directly impacts the cost of polishing. To enhance the quality of the grinding surface and reduce the time and cost of polishing, a grind-polishing wheel with a different structure from the conventional diamond wheel was developed. This wheel utilized ultrafine zirconia with grit size of 200 nm as abrasives and nonwoven as substrate to support the abrasives. Furthermore, to optimize the wheel and achieve better grinding performance, various wheels with different abrasive mass fractions and elastic moduli were fabricated and grinding experiments were conducted. The surface integrity of processed silicon and the material removal rate (MRR) were used to compare the grinding performance of the various wheels. After optimization, the MRR of the grind-polishing wheel reaches its peak at 0.81 μm/min. The silicon wafer ground with the grind-polishing wheel exhibited a surface roughness Sa of 0.51 nm and a subsurface damage depth of 74 nm, which is close to the effect of chemical mechanical polishing processing. Compared to conventional diamond grinding wheel (mesh size of #5000), the optimized grind-polishing wheel is better suited for semi-fine finishing and can significantly reduce the cost and time of polishing.

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
笑嘻嘻完成签到,获得积分10
刚刚
youchen完成签到,获得积分10
刚刚
tester_gater完成签到,获得积分10
刚刚
wen发布了新的文献求助10
刚刚
1秒前
2秒前
灵巧的寄真完成签到,获得积分10
2秒前
2秒前
铜锣烧完成签到 ,获得积分10
2秒前
cecily完成签到,获得积分10
3秒前
任性的诗兰完成签到,获得积分10
3秒前
爱科研的小张完成签到 ,获得积分10
3秒前
bill完成签到,获得积分0
3秒前
4秒前
bgh发布了新的文献求助10
4秒前
害羞含卉发布了新的文献求助10
4秒前
Li完成签到,获得积分10
5秒前
韦远侵完成签到,获得积分10
5秒前
崖林发布了新的文献求助10
5秒前
6秒前
6秒前
molihuakai应助火星上飞丹采纳,获得10
6秒前
liyang完成签到,获得积分10
6秒前
温暖的白猫完成签到,获得积分10
7秒前
XY_zj发布了新的文献求助10
7秒前
爱吃火锅发布了新的文献求助10
7秒前
7秒前
8秒前
JIECHENG完成签到 ,获得积分10
8秒前
默默向雪完成签到,获得积分0
8秒前
果汁大王完成签到,获得积分10
9秒前
紫色哀伤完成签到,获得积分10
9秒前
大山完成签到,获得积分10
9秒前
huxiaowen发布了新的文献求助10
9秒前
祝你发财完成签到,获得积分10
10秒前
完美世界应助weishao采纳,获得10
10秒前
Dfish完成签到,获得积分10
10秒前
李亚男完成签到,获得积分10
11秒前
TTVIN完成签到,获得积分10
11秒前
Knight发布了新的文献求助10
11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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6498403
求助须知:如何正确求助?哪些是违规求助? 8294316
关于积分的说明 17697521
捐赠科研通 5594462
什么是DOI,文献DOI怎么找? 2917665
邀请新用户注册赠送积分活动 1894641
关于科研通互助平台的介绍 1755279