摘要
为提高浆液磨料水射流切割能力,运用自研的浆液磨料和切割设备,进行混凝土和岩石切割试验,分析切割压力、喷嘴移动速度、材料单轴抗压强度对切割能力的影响。结果表明:相同工况下浆液磨料水射流切割能力远超纯水射流的,混凝土切割深度显著提高,并且材料强度越大,浆液磨料水射流切割能力优势越明显;浆液磨料水射流能够实现对中—硬砂岩的有效切割(0.5~1.0 h内能切割100 mm深,10 m长),可以应用于煤矿切顶卸压、切顶留巷、工作面夹矸处理等现场工程;射流喷嘴在切割对象同一位置的冲击时间越长,“水垫”作用越明显,相同切割时间内,喷嘴多次快速移动的重复切割比单次慢速移动的切割效率高。通过分析切割实验结果,以切割压力、喷嘴移动速度、材料单轴抗压强度为变量构建切缝深度预测模型,并在此基础上得到重复切割时以切割次数为变量的切割深度预测模型。
To enhance the cutting capabilities of slurry abrasive water jets,concrete and rock cutting experi‐ments were conducted using custom-developed slurry abrasive and cutting equipment.The study analyzed the impact of cutting pressure,nozzle movement speed,and material’s uniaxial compressive strength on cutting performance.The results showed that,under identical conditions,slurry abrasive water jets significantly outper‐form pure water jets in terms of cutting depth,with a more pronounced advantage on materials with higher strength.The cutting ability of the slurry abrasive water jet effectively cut medium-hard sandstone(such as cutting slots with 100 mm depth and 10 m length in 0.5~1.0 hours),and was applied to on-site mining engineering tasks in coal mines,including relieving roof strata pressure,creating roadway retention,and processing gangue in working faces.Prolonged jet nozzle impact at the same cutting location increased the“water cushion”effect,resulting in higher efficiency for multiple quick repeated cuts compared to single slow cuts within the same timeframe.Analyzing the cutting experiment results,a predictive model for cutting depth was developed based on cutting pressure,nozzle moving speed and uniaxial compressive strength of material.Additionally,a cutting depth prediction model for repeated cuts,considering the number of cutting cycles,was derived from this base model.
作者
袁瑞甫
陈立峰
张志刚
姚远航
吴俊杰
YUAN Ruifu;CHEN Lifeng;ZHANG Zhigang;YAO Yuanhang;WU Junjie(School of Energy Science and Engineering,Henan Polytechnic University,Jiaozuo 454000,Henan,China;State Collaborative Innovation Cen-ter of Coal Work Safety and Clean High Efficiency Utilization,Henan Polytechnic University,Jiaozuo 454000,Henan,China)
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2023年第6期11-18,共8页
Journal of Henan Polytechnic University（Natural Science）
基金
国家自然科学基金资助项目(52174109)
河南理工大学太行学者基金资助项目(2019)。
关键词
浆液磨料水射流
切割能力
重复切割
切割深度
预测模型
slurry abrasive water jet
cutting ability
repeated cutting
cutting depth
prediction model
