A non-blasting mechanized mining experiment was carried out with a high-frequency impact hammer,and the daily mining performance was recorded to explore the applicability of the high-frequency impact hammer in deep ha...A non-blasting mechanized mining experiment was carried out with a high-frequency impact hammer,and the daily mining performance was recorded to explore the applicability of the high-frequency impact hammer in deep hard rock mines.Before the field application,the scope of the excavation damage zone was monitored,and rock samples were obtained from the ore body to be mined to carry out a series of laboratory experiments.Field application results show that the overall excavation efficiency reaches 50.6 t/h,and the efficiency of pillar excavation after excavating stress relief slot reaches 158.2 t/h.The results indicate that the non-blasting mechanized mining using high-frequency impact hammer has a good application in deep hard rock mines,and the stress relief slot is conducive to mechanical excavation.In addition,the high-frequency impact hammer also exhibits the advantages of high utilization rate of labor hours,small lumpiness of spalling ore,little dust,and little excavation damage.Finally,according to the field application and laboratory experiment results,a non-blasting mechanized mining method for hard rock mines based on high-frequency impact hammer is proposed.展开更多
Against the background of“carbon peak and carbon neutrality,”it is of great practical significance to develop non-blast furnace ironmaking technology for the sustainable development of steel industry.Carbon-bearing ...Against the background of“carbon peak and carbon neutrality,”it is of great practical significance to develop non-blast furnace ironmaking technology for the sustainable development of steel industry.Carbon-bearing iron ore pellet is an innovative burden of direct reduction ironmaking due to its excellent self-reducing property,and the thermal strength of pellet is a crucial metallurgical property that affects its wide application.The carbon-bearing iron ore pellet without binders(CIPWB)was prepared using iron concentrate and anthracite,and the effects of reducing agent addition amount,size of pellet,reduction temperature and time on the thermal compressive strength of CIPWB during the reduction process were studied.Simultaneously,the mechanism of the thermal strength evolution of CIPWB was revealed.The results showed that during the low-temperature reduction process(300-500℃),the thermal compressive strength of CIPWB linearly increases with increasing the size of pellet,while it gradually decreases with increasing the anthracite ratio.When the CIPWB with 8%anthracite is reduced at 300℃for 60 min,the thermal strength of pellet is enhanced from 13.24 to 31.88 N as the size of pellet increases from 8.04 to 12.78 mm.Meanwhile,as the temperature is 500℃,with increasing the anthracite ratio from 2%to 8%,the thermal compressive strength of pellet under reduction for 60 min remarkably decreases from 41.47 to 8.94 N.Furthermore,in the high-temperature reduction process(600-1150℃),the thermal compressive strength of CIPWB firstly increases and then reduces with increasing the temperature,while it as well as the temperature corresponding to the maximum strength decreases with increasing the anthracite ratio.With adding 18%anthracite,the thermal compressive strength of pellet reaches the maximum value at 800℃,namely 35.00 N,and obtains the minimum value at 1050℃,namely 8.60 N.The thermal compressive strength of CIPWB significantly depends on the temperature,reducing agent dosage,and pellet size.展开更多
焦炭作为高炉内唯一的骨架支柱,其劣化行为对高炉的透气透液性及冶炼能耗都有着十分重要的影响。基于焦炭的非均匀劣化特征及其与高炉透气性的关系,采用多孔传质反应理论方程与耦合叠加方法构建了以焦炭体积表观速率常数kV与孔扩散系数D...焦炭作为高炉内唯一的骨架支柱,其劣化行为对高炉的透气透液性及冶炼能耗都有着十分重要的影响。基于焦炭的非均匀劣化特征及其与高炉透气性的关系,采用多孔传质反应理论方程与耦合叠加方法构建了以焦炭体积表观速率常数kV与孔扩散系数Deff为核心的焦炭非均匀劣化行为评价模型,以准确评价高炉内焦炭的劣化行为,为完善现有的焦炭质量评价体系提供帮助。根据焦炭气孔分布及其劣化演变特征,采用SEM(scanning electron microscope)、压汞法和X衍射分析等方法准确测定并推算了不同条件下焦炭孔扩散系数的大小及变化,得出了焦炭内部劣化反应梯度的变化规律,并由此计算和分析了焦炭的高温劣化行为及其粒度分布特征,提出了以粒度分布集中度作为评价焦炭劣化行为的重要指标。最后通过对模型结构与模型参数的调整与修正,对实际焦炭试验数据与模型预测结果进行了对比验证,计算结果表明,模型预测结果与试验结果具有较高的吻合度,且模型实现了对不同初始粒径的焦炭在不同劣化时间内粒度分布集中度的合理预测,通过该模型能更准确地评判焦炭质量对高炉透气性的影响,从而为优化焦炭质量评价体系提供帮助。展开更多
基金supported by the National Natural Science Foundation of China (Nos. 52174099, 51904333)the Natural Science Foundation of Hunan Province, China (No. 2021JJ30842)
文摘A non-blasting mechanized mining experiment was carried out with a high-frequency impact hammer,and the daily mining performance was recorded to explore the applicability of the high-frequency impact hammer in deep hard rock mines.Before the field application,the scope of the excavation damage zone was monitored,and rock samples were obtained from the ore body to be mined to carry out a series of laboratory experiments.Field application results show that the overall excavation efficiency reaches 50.6 t/h,and the efficiency of pillar excavation after excavating stress relief slot reaches 158.2 t/h.The results indicate that the non-blasting mechanized mining using high-frequency impact hammer has a good application in deep hard rock mines,and the stress relief slot is conducive to mechanical excavation.In addition,the high-frequency impact hammer also exhibits the advantages of high utilization rate of labor hours,small lumpiness of spalling ore,little dust,and little excavation damage.Finally,according to the field application and laboratory experiment results,a non-blasting mechanized mining method for hard rock mines based on high-frequency impact hammer is proposed.
基金support of the National Natural Science Foundation of China(52074080,52004001,and 51574002).
文摘Against the background of“carbon peak and carbon neutrality,”it is of great practical significance to develop non-blast furnace ironmaking technology for the sustainable development of steel industry.Carbon-bearing iron ore pellet is an innovative burden of direct reduction ironmaking due to its excellent self-reducing property,and the thermal strength of pellet is a crucial metallurgical property that affects its wide application.The carbon-bearing iron ore pellet without binders(CIPWB)was prepared using iron concentrate and anthracite,and the effects of reducing agent addition amount,size of pellet,reduction temperature and time on the thermal compressive strength of CIPWB during the reduction process were studied.Simultaneously,the mechanism of the thermal strength evolution of CIPWB was revealed.The results showed that during the low-temperature reduction process(300-500℃),the thermal compressive strength of CIPWB linearly increases with increasing the size of pellet,while it gradually decreases with increasing the anthracite ratio.When the CIPWB with 8%anthracite is reduced at 300℃for 60 min,the thermal strength of pellet is enhanced from 13.24 to 31.88 N as the size of pellet increases from 8.04 to 12.78 mm.Meanwhile,as the temperature is 500℃,with increasing the anthracite ratio from 2%to 8%,the thermal compressive strength of pellet under reduction for 60 min remarkably decreases from 41.47 to 8.94 N.Furthermore,in the high-temperature reduction process(600-1150℃),the thermal compressive strength of CIPWB firstly increases and then reduces with increasing the temperature,while it as well as the temperature corresponding to the maximum strength decreases with increasing the anthracite ratio.With adding 18%anthracite,the thermal compressive strength of pellet reaches the maximum value at 800℃,namely 35.00 N,and obtains the minimum value at 1050℃,namely 8.60 N.The thermal compressive strength of CIPWB significantly depends on the temperature,reducing agent dosage,and pellet size.
文摘焦炭作为高炉内唯一的骨架支柱,其劣化行为对高炉的透气透液性及冶炼能耗都有着十分重要的影响。基于焦炭的非均匀劣化特征及其与高炉透气性的关系,采用多孔传质反应理论方程与耦合叠加方法构建了以焦炭体积表观速率常数kV与孔扩散系数Deff为核心的焦炭非均匀劣化行为评价模型,以准确评价高炉内焦炭的劣化行为,为完善现有的焦炭质量评价体系提供帮助。根据焦炭气孔分布及其劣化演变特征,采用SEM(scanning electron microscope)、压汞法和X衍射分析等方法准确测定并推算了不同条件下焦炭孔扩散系数的大小及变化,得出了焦炭内部劣化反应梯度的变化规律,并由此计算和分析了焦炭的高温劣化行为及其粒度分布特征,提出了以粒度分布集中度作为评价焦炭劣化行为的重要指标。最后通过对模型结构与模型参数的调整与修正,对实际焦炭试验数据与模型预测结果进行了对比验证,计算结果表明,模型预测结果与试验结果具有较高的吻合度,且模型实现了对不同初始粒径的焦炭在不同劣化时间内粒度分布集中度的合理预测,通过该模型能更准确地评判焦炭质量对高炉透气性的影响,从而为优化焦炭质量评价体系提供帮助。
