掺杂氧化钇和富镧钐渣对连铸水口MgO-C耐火材料性能的影响
Effect of doping yttrium oxide and lanthanum-rich samarium slag on properties of MgO-C refractories
胡煜 1郑晓楠 1赖朝彬 1邓庚凤1
作者信息
- 1. 江西理工大学材料冶金化学学部,赣州 341000
- 折叠
摘要
本研究分别考察了氧化钇(Y2O3)和富镧钐渣掺杂量对MgO-C耐火材料微观结构、烧结性能、力学性能和抗稀土钢侵蚀性能的影响.结果表明,Y2O3和富镧钐渣通过与SiO2和Al2O3反应而生成稀土硅酸盐和稀土铝酸盐,促进材料烧结,提高材料致密性.随着Y2O3和富镧钐渣掺杂量增大,MgO-C耐火材料的体积密度、抗折强度和耐压强度均先增大后减小,而显气孔率的变化趋势相反.当Y2O3和富镧钐渣的掺杂量分别为0.5%时,MgO-C耐火材料的体积密度分别为2.87 g/cm3和2.85 g/cm3,显气孔率分别为9.6%和10.2%,抗折强度分别为7.6 MPa和6.8 MPa,抗压强度分别为46.4 MPa和41.2 MPa,致密性和常温力学性能提高的幅度最大,抗Ce基稀土钢侵蚀性能相比未掺杂稀土氧化物的试样分别提高了7.6%和10.2%.
Abstract
In this paper,the effects of yttrium oxide(Y2O3)and lanthanum-rich samarium slag doping amount on the microstructure,sintering properties,mechanical properties and corrosion resistance of MgO-C refractories were scrutinized.The findings include that Y2O3 and lanthanum-rich samarium slag react with silicon oxide and alumina to produce rare earth silicate and rare earth aluminate,which promote the sintering of the material and improve the compactness of the material.With the increase of doping content,the bulk density,flexural strength and compressive strength of MgO-C refractories dope with Y2O3 and lanthanum-rich samarium slag first increase and then decrease,while the change trend of apparent porosity is opposite.When the doping amount of La-rich samarium slag and Y2O3 is 0.5%,respectively,the MgO-C refractory has the best density and mechanical properties at room temperature,with volume densities of 2.87 g/cm3 and 2.85 g/cm3,and apparent porosities of 9.6% and 10.2%,flexural strength 7.6 MPa and 6.8 MPa,compressive strength 46.4 MPa and 41.2 MPa,respectively;the corrosion resistance of the Ce-based rare earth steel is improved by 7.6% and 10.2%compared to the sample without rare earth oxides.
关键词
氧化钇/富镧钐渣/MgO-C耐火材料/烧结性能/力学性能/稀土钢/抗侵蚀性能Key words
yttrium oxide/lanthanum-rich samarium slag/MgO-C refractory/sintering performance/mechanical properties/rare earth steel/corrosion resistance引用本文复制引用
基金项目
国家自然科学基金项目(52174316)
国家自然科学基金项目(51974139)
江西省自然科学基金项目(20212ACB204008)
江西省重大科技研发专项(20194ABC28011)
出版年
2024
NETL
NSTL
万方数据