Blasting Fragmentation Study Using 3D Image Analysis of a Hard Rock Mine

被引:7
作者
Figueiredo, Janine [1 ]
Torres, Vidal [2 ]
Cruz, Rodolfo [3 ]
Moreira, Douglas [2 ]
机构
[1] Vale SA, BR-29090900 Vitoria, ES, Brazil
[2] Inst Tecnol Vale, BR-35400000 Ouro Preto, MG, Brazil
[3] Vale SA, BR-35900900 Itabira, MG, Brazil
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 12期
关键词
80% passing size; blasting design; very compact itabirite; mining productivity;
D O I
10.3390/app13127090
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Rock blasting with explosives is the first stage of rock fragmentation and plays a key role in the results of the mining chain. Fragmentation optimization is achieved by considering the energy efficiency of the explosive, the optimal distribution of explosive energy in the rocky mass, and the programmed and controlled release of explosive energy during blasting. The quality of fragmentation is usually performed using tools that estimate the sizes of fragments via the analysis of two- or three-dimensional images. This article presents a study of the rock fragmentation optimization of very compact itabirites, based on four blasting tests, performed in a different way from the conventional blasting design. The fragmentation analysis was performed using the PortaMetrics (TM) tool, and compared with the Kuznetsov and Rosin-Rammler particle size distribution model, to compare the reliability of this tool. Finally, the mine productivity after blasting was estimated from the particle size distribution obtained in the tests. The model presented idealistic results considering the technical parameters used in the equations. However, the PortaMetrics (TM) tool suggests good performance for the preliminary evaluation of blast design.
引用
收藏
页数:15
相关论文
共 34 条
[1]  
Adel G., 2006, SEMI ANNUAL REPORT S, P168
[2]  
Al-Bakri AY, 2021, MINING-BASEL, V1, P315, DOI [10.3390/mining1030020, 10.3390/mining1030020]
[3]  
Amoako R, 2022, MINING-BASEL, V2, P233, DOI [10.3390/mining2020013, 10.3390/mining2020013]
[4]  
Cameron P., 2017, The ABC of Mine to Mill and Metal Price Cycles, P9
[5]   Research on the Fracture Properties and Mechanism of Carbon Dioxide Blasting Based on Rock-like Materials [J].
Chang, Jian ;
Sun, Lijun ;
Dai, Bibo ;
Li, Helin ;
Liu, Zhenbiao ;
Zhao, Xukun ;
Ke, Bo .
MINERALS, 2023, 13 (01)
[6]  
Cunningham C.V.B., 1983, 1st International Symposium on Rock Fragmentation by Blasting, Sweden, P439
[7]  
Cunningham C.V.B., 1987, P 2 INT S ROCK FRAGM, P475, DOI DOI 10.1002/AJIM.4700110410
[8]  
Cunningham CVB, 2005, BRIGHT C P 3 WORLD C, P201
[9]   Advances in Blast-Induced Impact Prediction-A Review of Machine Learning Applications [J].
Dumakor-Dupey, Nelson K. ;
Arya, Sampurna ;
Jha, Ankit .
MINERALS, 2021, 11 (06)
[10]   Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm [J].
Ebrahimi, Ebrahim ;
Monjezi, Masoud ;
Khalesi, Mohammad Reza ;
Armaghani, Danial Jahed .
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2016, 75 (01) :27-36