摘要
提出了在矿砂粒径尺寸级配情况下,不同粒径的筛下累积含量公式.在分析超声衰减基本理论模型的基础上,将不同粒径的筛下累积含量集成到超声波衰减模型中,推导出超声波衰减与矿浆浓度、粒度之间的关系模型.将所推导的模型结合实验和数据分析以确定超声波衰减与粒度分布的关系,且采用遗传算法反演计算获得矿浆中粒的粒度分布.结果表明,反演的计算结果精度较高.
The formula of cumulative weight percentage at different particle sizes, which was in the case of composite particle size distribution, was proposed. Based on analyzing the theoretical model of ultrasonic attenuation, the formula was integrated into the ultrasonic attenuation model, and the relation of ultrasonic attenuation to pulp density and particle size was derived. The correlation between ultrasonic attenuation and particle size distribution was given by combining experiments with data analysis, and an inverse parameters optimization method, genetic algorithm, was applied for particle size distribution. The result of inversely calculation shows that its precision is higher.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
2006年第12期1101-1105,共5页
Journal of University of Science and Technology Beijing
基金
国家科研院所技术开发研究专项资金资助项目(矿山测控仪表的开发研究与产业化)
关键词
矿浆
粒度分布
粒度检测
超声波衰减
建模
遗传算法
反演计算
mineral slurry
particle size distribution
particle size measurement
ultrasonic attenuation
modeling
genetic algorithm
inverse calculation