Innovative separation model for boron removal from silicon during slag refining based on ion and molecule coexistence theory

精炼(冶金) 熔渣(焊接) 杂质 分子 离子 材料科学 共存理论 冶金 化学 分析化学(期刊) 化学工程 色谱法 有机化学 利基 工程类 生物化学
作者
Shijian Li,Guoyu Qian,Yiwei Sun,Sheng Pang,Dong Wang,Zhi Wang
出处
期刊:Metallurgical Research & Technology [EDP Sciences]
卷期号:119 (3): 304-304
标识
DOI:10.1051/metal/2022024
摘要

How to reduce boron concentration to an extremely low level has become a major obstacle during silicon waste recycling. As a simple and efficient method of removing impurities, slag refining plays an increasingly important role for industrial silicon waste recovery. The deboration ability of slag is usually evaluated by boron distribution ratio L B . However, the development of a separation prediction model is challenged by the limitations on the recognition of impurity structure in slag and complexity of slag-silicon reactions. Herein, a novel thermodynamic model for predicting boron distribution ratio between CaO-SiO 2 based slags and molten silicon has been developed based on ion and molecule coexistence theory (IMCT), i.e., IMCT- L B model. The reaction abilities of structural units are represented by the calculated mass action concentration. The predictive boron distribution ratio between CaO-SiO 2 , CaO-Al 2 O 3 -SiO 2 , CaF 2 -CaO-SiO 2 slags and silicon correspond well with experimental data, reflecting the reasonability of IMCT- L B model. According to IMCT, deboration reactions between slags and silicon can be represented by ion couples (Ca 2+ + O 2– ), simple molecule Al 2 O 3 with SiO 2 to form eight deboration products as B 2 O 3 , 3CaO · B 2 O 3 , 2CaO · B 2 O 3 , CaO · B 2 O 3 , CaO · 2B 2 O 3 , 2Al 2 O 3 · B 2 O 3 , 9Al 2 O 3 · B 2 O 3 , CaO · 2SiO 2 · B 2 O 3 . With the developed IMCT- L B model, the respective boron distribution ratio L B , i of the eight deboration products can be determined quantitatively. Furthermore, the effect of temperature, mass ratio of CaO to SiO 2 (%CaO/%SiO 2 ), Al 2 O 3 and CaF 2 content of CaO-SiO 2 based slags on L B are fully discussed.

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
刚刚
Crw__完成签到,获得积分10
刚刚
cc完成签到,获得积分10
刚刚
刚刚
墨小菊完成签到,获得积分10
刚刚
子车茗应助孙涛采纳,获得10
刚刚
lvzhechen发布了新的文献求助10
1秒前
所所应助现代人龙采纳,获得10
2秒前
hannuannuan发布了新的文献求助10
2秒前
2秒前
图灵桑发布了新的文献求助10
2秒前
2秒前
大个应助jluzz采纳,获得10
2秒前
2秒前
善良烨霖发布了新的文献求助10
2秒前
Nano-Su发布了新的文献求助10
2秒前
抹茶小饼干完成签到,获得积分10
2秒前
3秒前
3秒前
NexusExplorer应助苹果紊采纳,获得10
3秒前
4秒前
李健的粉丝团团长应助tgh采纳,获得10
4秒前
科研通AI6.3应助Hiy采纳,获得10
4秒前
听风完成签到,获得积分10
4秒前
善学以致用应助明理楷瑞采纳,获得10
4秒前
4秒前
4秒前
谢大喵应助long采纳,获得10
4秒前
xiyue发布了新的文献求助10
4秒前
任性黎昕发布了新的文献求助10
4秒前
北枳发布了新的文献求助10
5秒前
5秒前
WTL完成签到,获得积分10
5秒前
6秒前
dayong发布了新的文献求助10
6秒前
dark完成签到,获得积分10
6秒前
蓝天发布了新的文献求助10
6秒前
热情凝云应助Eason采纳,获得10
6秒前
鳗鱼文涛发布了新的文献求助10
6秒前
热情凝云应助Eason采纳,获得10
6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
Kinesiophobia : a new view of chronic pain behavior 2000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6154801
求助须知:如何正确求助?哪些是违规求助? 7983315
关于积分的说明 16587783
捐赠科研通 5265241
什么是DOI,文献DOI怎么找? 2809589
邀请新用户注册赠送积分活动 1789790
关于科研通互助平台的介绍 1657447