Shaped basic refractories based on magnesia, limestone and zircon for rotary cement kiln

被引：0
|
作者：
Nour, W. M. N. [1 ]
Othman, A. G. M. [1 ]
机构：
[1] Natl Res Ctr, Dept Refractaories Ceram & Bldg Mat, Cairo, Egypt
来源：
INDUSTRIAL CERAMICS | 2007年 / 27卷 / 01期
关键词：
Cements - Corrosion resistance - Microstructure - Mineralogy - Refractory materials - Scanning electron microscopy - X ray diffraction - Zircon;
D O I：
暂无
中图分类号：
TQ174 [陶瓷工业]; TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
Refractory bodies based on magnesia with different amounts of zircon and lime were sintered through two firing stages. The bodies were characterized for their mineralogy composition by XRD and microstructure by SEM. Periclase, calcium zirconate, zirconia, and merwinite were detected. The densification and mechanical properties were correlated with their minerology and microstructure. An improvement of refractoriness under-load was recorded with increasing zircon content. The fracture mode in the thermally loaded bodies was both intergranular and transgranular. The parepared bodies showed a good corrosion resistance to attack by Portland cement clinker.
引用
下载
收藏
页码：21 / 28
页数：8
相关论文
共 47 条
  • [31] Comparison of the fixation effects of heavy metals by cement rotary kiln co-processing and cement based solidification/stabilization
    Zhang, Junli
    Liu, Jianguo
    Li, Cheng
    Jin, Yiying
    Nie, Yongfeng
    Li, Jinhui
    JOURNAL OF HAZARDOUS MATERIALS, 2009, 165 (1-3) : 1179 - 1185
  • [32] Support Vector Machine Model Based Predictive PID Control System for Cement Rotary Kiln
    Li, Zheng
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 3117 - 3121
  • [33] Temperature Control in Cement Rotary Kiln with Neural Network-Based Heuristic Dynamic Programming
    Lin, Xiaofeng
    Liu, Tangbo
    Cao, Deguang
    Huang, Qingbao
    ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 2, PROCEEDINGS, 2009, 5552 : 1078 - 1086
  • [34] Application of the model based on fuzzy behavior charts in the advising control system of rotary cement kiln
    Vashchenko, Roman
    Stepovoy, Aleksey
    Bazhanov, Alexander
    Magergut, Valery
    2016 INTERNATIONAL CONFERENCE ON INFORMATION AND DIGITAL TECHNOLOGIES (IDT), 2016, : 299 - 304
  • [35] Hybrid model of a cement rotary kiln using an improved attention-based recurrent neural network
    Zheng, Jinquan
    Zhao, Liang
    Du, Wenli
    ISA TRANSACTIONS, 2022, 129 : 631 - 643
  • [36] Study on Recognition of Thermal Efficiency Operating Conditions of Cement Rotary Kiln Based on K-means
    Ning, Fangqian
    Yu, Hongliang
    Lu, Shizeng
    Zhao, Peirui
    PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 1 - 5
  • [37] Fuzzy Modeling by Data-Extracted Fuzzy Rules of Cement Rotary Kiln Based on WM Method
    Chen, Mingyun
    Guo, Feng
    Chen, Mengqi
    Shen, Zheng
    She, Jianshu
    PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC), 2018,
  • [38] Research on Given Algorithm of Temperature Setting Value of Cement Rotary Kiln Firing Zone Based on Case-based Reasoning
    Ning, Fangqian
    Yu, Hongliang
    Lu, Shizeng
    Zhao, Pcirui
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 500 - 505
  • [39] Fault detection and diagnosis in a cement rotary kiln using PCA with EWMA-based adaptive threshold monitoring scheme
    Bakdi, Azzeddine
    Kouadri, Abdelmalek
    Bensmail, Abderazak
    CONTROL ENGINEERING PRACTICE, 2017, 66 : 64 - 75
  • [40] Recognition method of cement rotary kiln burning state based on Otsu-Kmeans flame image segmentation and SVM
    Zhang, Rongfeng
    Lu, Shizeng
    Yu, Hongliang
    Wang, Xiaohong
    OPTIK, 2021, 243
12345