The effect of C content in MgO–C on dissolution behavior in CaO–SiO2–Al2O3 slag

溶解 材料科学 分析化学(期刊) 熔渣(焊接) 三元运算 气泡 冶金 矿物学 化学工程 化学 色谱法 计算机科学 工程类 并行计算 程序设计语言
作者
Seungwook Lee,Yongsug Chung
出处
期刊:Ceramics International [Elsevier BV]
卷期号:48 (18): 26984-26991 被引量:2
标识
DOI:10.1016/j.ceramint.2022.06.010
摘要

This study was conducted to observe the dissolution behavior of MgO–C in CaO–SiO 2 –Al 2 O 3 ternary slag using the Single Hot Thermocouple Technique (SHTT). The composition of the slag was CaO (41.5 wt%), SiO 2 (41.5 wt%), Al 2 O 3 (17 wt%), and MgO–C (0, 5, 10, 18 wt%). When the slag was completely melted, MgO–C particles were added and the dissolution behavior was observed in real time. Before the main experiment, the weight of MgO–C and slag was set by designing a stability diagram for the short circuit problem of the thermocouple (TC) caused by the bubble reaction. Comparing the dissolution behavior of MgO and MgO–C revealed that the dissolution time of MgO was shorter than that of MgO–C in which bubbles occurred. When the C content of MgO–C was 10 wt% or more, particle fragmentation was observed, and the dissolution time decreased as the C content increased. Bubbles were formed in the sample to which C was added. The main bubble reaction was C(s) + SiO 2 (l) = CO(g) + SiO(g) based on thermodynamic analysis and weight loss measurements where the total partial pressure was P T = P C O + P S i O = 0.18 atm. In addition, the kinetic behavior of weight loss as a function of time strongly depended on the C content, and thus, it depended on the effective C surface area.

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
peteichor完成签到,获得积分10
1秒前
fhh完成签到,获得积分10
2秒前
陈南给陈南的求助进行了留言
2秒前
3秒前
NexusExplorer应助蝴蝶兰采纳,获得10
5秒前
5秒前
6秒前
销凝发布了新的文献求助10
6秒前
jjj完成签到,获得积分20
6秒前
小二郎应助11111采纳,获得20
7秒前
晶晶发布了新的文献求助10
7秒前
huvy完成签到 ,获得积分0
8秒前
眯眯眼的洋葱完成签到,获得积分10
9秒前
9秒前
9秒前
李文亚完成签到,获得积分0
10秒前
DCBA发布了新的文献求助10
10秒前
molihuakai应助anna521212采纳,获得10
11秒前
鲤鱼思真发布了新的文献求助10
11秒前
13秒前
16秒前
keyan123关注了科研通微信公众号
16秒前
SciGPT应助碧蓝丹烟采纳,获得10
16秒前
16秒前
Fulcher发布了新的文献求助30
17秒前
17秒前
Owen应助直率天德采纳,获得10
17秒前
小松奈奈发布了新的文献求助10
18秒前
18秒前
19秒前
19秒前
科研通AI6.2应助liugm采纳,获得10
20秒前
wen完成签到,获得积分10
20秒前
11111发布了新的文献求助20
21秒前
21秒前
ylf完成签到,获得积分10
22秒前
蝴蝶兰发布了新的文献求助10
22秒前
赵鲁莹完成签到 ,获得积分10
23秒前
领导范儿应助ccczzz采纳,获得10
23秒前
林韬发布了新的文献求助10
24秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7577378
求助须知:如何正确求助?哪些是违规求助? 9156957
关于积分的说明 19590124
捐赠科研通 7161251
什么是DOI,文献DOI怎么找? 3265304
关于科研通互助平台的介绍 2430260
邀请新用户注册赠送积分活动 2255957