Electrocoagulation for removal of silica nano-particles from chemical–mechanical-planarization wastewater

电凝 化学机械平面化 废水 阳极 浊度 电流密度 水溶液 材料科学 水力停留时间 粒子(生态学) 化学工程 化学 电极 复合材料 环境工程 环境科学 抛光 物理化学 工程类 地质学 物理 海洋学 量子力学
作者
Walter Den,Chihpin Huang
出处
期刊:Colloids and Surfaces A: Physicochemical and Engineering Aspects [Elsevier]
卷期号:254 (1-3): 81-89 被引量:79
标识
DOI:10.1016/j.colsurfa.2004.11.026
摘要

Continuous-flow electrocoagulation process with vertical flow-channels was investigated as a method to treat synthetic chemical–mechanical-planarization (CMP) wastewater containing highly charged ultrafine silica particles (ζ = −55 mV, mean Rp = 45 nm at pH 9.5). The parallel-plate, monopolar electrochemical cells resembled a series of closed electrical circuits such that the electrical field strength was highly dependent of the current density and aqueous conductivity, but independent of the inter-electrode gap. The residual turbidity of the CMP wastewater decreased with the increases in either hydraulic retention time or applied current density, and removal efficiency as high as 95% was achieved for wastewater with both low (70 NTU) and high (400 NTU) initial turbidities. The charge loading linearly correlated with turbidity removal efficiency up to a level of 8 F m−3, presenting an appropriate design parameter. Further analysis indicated that turbidity removal was limited by the quantity of liberated ferrous ions at lower range of current density, but seemingly reached a critical level of current density beyond which the process performance gradually deteriorated. Comparisons between the effective particle retention time and the estimated electrophoretic migration time revealed that the electrocoagulation process was predominantly controlled by the rate of particle aggregation occurring near the anodic surfaces. Furthermore, this process generates lesser amount of dry sludge as compared to chemical coagulation with polyaluminum chloride, and does not require pH adjustment prior to treatment.
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
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
SHIKAMARU完成签到,获得积分10
1秒前
杨尚朋完成签到,获得积分10
1秒前
1秒前
1秒前
Akim应助esdeath采纳,获得10
2秒前
科研通AI5应助Inahurry采纳,获得10
2秒前
小赵完成签到,获得积分10
3秒前
zhui发布了新的文献求助10
3秒前
3秒前
4秒前
sakurai应助Maxw采纳,获得10
4秒前
xiangxl发布了新的文献求助10
4秒前
4秒前
5秒前
UGO发布了新的文献求助10
5秒前
lh发布了新的文献求助10
5秒前
乐乐应助个性尔槐采纳,获得10
5秒前
希望天下0贩的0应助瑶625采纳,获得10
6秒前
tengli完成签到,获得积分20
6秒前
劲秉应助坚定迎天采纳,获得20
6秒前
桐桐应助杨枝甘露樱桃采纳,获得10
7秒前
搜集达人应助zhuzhu采纳,获得20
7秒前
LiShin发布了新的文献求助10
8秒前
末岛发布了新的文献求助10
8秒前
8秒前
coffee完成签到,获得积分10
9秒前
李来仪发布了新的文献求助10
9秒前
长安完成签到,获得积分10
10秒前
Hao完成签到,获得积分10
10秒前
JamesPei应助王小志采纳,获得10
10秒前
詹密完成签到,获得积分10
11秒前
11秒前
11秒前
11秒前
酷波er应助NEMO采纳,获得10
13秒前
13秒前
13秒前
13秒前
情怀应助shirleeyeahe采纳,获得10
13秒前
14秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794