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.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
小太阳红红火火完成签到,获得积分10
刚刚
2秒前
2秒前
机智的瑾瑜完成签到,获得积分20
4秒前
livra1058完成签到,获得积分10
4秒前
xianglily完成签到 ,获得积分10
4秒前
汉堡包应助CYL07采纳,获得10
4秒前
科研小趴菜完成签到,获得积分10
5秒前
cc发布了新的文献求助10
7秒前
vsoar完成签到,获得积分10
7秒前
Nature完成签到 ,获得积分10
7秒前
CodeCraft应助不卖星星采纳,获得10
7秒前
towanda完成签到,获得积分10
7秒前
狂野的冰真完成签到 ,获得积分10
9秒前
beninsect发布了新的文献求助10
9秒前
zhao完成签到,获得积分10
9秒前
赘婿应助Aspringin采纳,获得10
10秒前
12秒前
FashionBoy应助cc采纳,获得10
13秒前
充电宝应助柚子想吃橘子采纳,获得10
14秒前
15秒前
fruitlily完成签到 ,获得积分10
17秒前
19秒前
19秒前
嘟嘟发布了新的文献求助10
20秒前
丘比特应助自觉的香菱采纳,获得10
20秒前
20秒前
20秒前
21秒前
莫言发布了新的文献求助30
22秒前
科研通AI2S应助研友_n0DWDn采纳,获得10
23秒前
狗狗发布了新的文献求助10
23秒前
23秒前
24秒前
24秒前
Aspringin发布了新的文献求助10
24秒前
健忘的飞雪完成签到,获得积分10
25秒前
子车万仇发布了新的文献求助10
25秒前
jks发布了新的文献求助10
26秒前
晚意发布了新的文献求助30
28秒前
高分求助中
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
Manual of Sewer Condition Classification 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 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3122784
求助须知:如何正确求助?哪些是违规求助? 2773110
关于积分的说明 7716741
捐赠科研通 2428714
什么是DOI,文献DOI怎么找? 1289917
科研通“疑难数据库(出版商)”最低求助积分说明 621637
版权声明 600185