2017年12月1日 C. V. B. Cunningham, "The Kuz-Ram Model for the Prediction of Fragmentation from Blasting", Proceedings of the International Symposium on Rock
2016年9月1日 The impact of rock fragmentation on downstream processes has been widely studied for a long time (Seccatore 2019), with
2018年6月1日 A model for fragmentation in bench blasting was developed using the effective parameters on the existing empirical models, so as to propose a simple
2004年5月1日 Rock fragmentation, which is the fragment size distribution of blasted rock material, is used in the mining industry as an index to
2016年6月1日 Several models exist for predicting fragmentation distribution from primary rock blasting. [Show full abstract] The Kuz
2016年8月3日 This may be achieved by using fragmentation prediction models. Several models exist for predicting fragmentation distribution from primary rock blasting. The Kuz-Ram model is the most widely used
Comparative analysis, Fragmentation Prediction, Models, Kuz-Ram. 1 Introduction . Blasting is the first step in the rock comminution process, and is the most efficient fragmentation
2018年12月19日 Geology. Journal of the Southern African Institute of Mining and Metallurgy. 2022. Fragmentation analysis is an essential part of the optimization process
The new model predicts this failure to be sudden or brittle, as is expected for rocks. The model is also applied to a single-blastwell cratering test in oil shale. The model is used to
Lorem ipsum dolor Address: No.169, Science (Kexue) Avenue, Tel: 0086-371- Email: [email protected]
2009年9月1日 In this stone a new form of the Kuz—Ram model is proposed in which a prefactor of 0.073 is included in the formula for prediction of X50. This new equation has a correlation coefficient that is greater than 0.98. In addition, a new approach is proposed to calculate the Uniformity Index, n. A Blastability Index ( BI) is used to correct the
2017年8月24日 In the third case, the mean fragmentation size of the blast-produced mineral was estimated using the modified Kuz-Ram model in Zone 5 of Rashkan limestone quarry. Following the blasting, using the image analysis method in Split Desktop, which is the latest and most efficient software of this kind, the grain size curve and average size of
a rough guide towards the prediction of rock fragmentation by blasting operation. Among these models are the Kuz-Ram, The KCO, SveDeFo, Larson’s equation, Neural Network Analysis etc. Consequently, it is important to study the viability of Kuz-Ram Model. 2.0. Overview Kuz-Ram Model A variety of modeling approach, ranging from purely empirical
2021年10月1日 The primary purpose of blasting is to fragment rock, and there are significant rewards for delivering a fragmentation size range that is not only well suited to the mining system it feeds, but also minimizes unsaleable fractions and enhances the value of what can be sold. The outcome of blasting operations is determined by a number of
2016年9月29日 Ke ywords: Fragment size distribution, rock fragmentation, blasting, KuzÐRam model, CZM, TCM, crushing, breakage function, NBC, natural breakage characteristics, t 10 BLAST FRAGMENTATION In an area as complicated as rock fragmentation by blasting, CunninghamÕs KuzÐRam model 4,5,13 has for 20 years
2023年2月23日 Monjezi et al. [27] developed a fuzzy logic model for prediction of rock fragmentation by blasting. Kulatilake et al. [28] presented a piece of work, predicting the mean particle size in rock blast fragmentation using neural networks. Also, Monjezi et al. [29] used neural networks to predict the rock blasting fragmentation.
2020年3月24日 blast design parameters are required affecting the cost of a drilling and blasting operation. A model was developed to calculate blast design parameters and costs on the basis of the required 80% fragment size needed for crusher operation. The model is based on previously developed fragmentation models, found in the literature.
1. Introduction Bhandari (Bhandari, 1997) defines that the main objective of fragmentation is to obtain the largest volume of rock possible at minimum cost, guaranteeing the quantity and quality of the material, so that the profits from the operations subsequent to this process are maximized. In blasts, this fragmentation process occurs when an explosive is inserted
Lorem ipsum dolor Address: No.169, Science (Kexue) Avenue, Tel: 0086-371- Email: [email protected]
2021年2月1日 A variation between -50 % and +100 % implies that the index does not quantitatively predict the contribution of the rock mass. Additionally, Cunningham (2005) modified the uniformity by a factor to produce a more uniform fragmentation in harder rocks with A K-R > 6. Therefore, the rock factor and the uniformity index in the Kuz-Ram model
2021年9月2日 The Kuznetsov-Cunningham-Ouchterlony (KCO) fragmentation model is an extended form of the Kuz-Ram model. The KCO model replaces the Rosin-Rammler equation of the Kuz-Ram model with the Swebrec function, and was put into use in 2005 by Cunningham (Ouchterlony, 2005; Ouchterlony and Sanchidrián, 2019). This model was
2018年4月9日 The experimental work was carried out in the quarry El Aljibe. The quarry is located in central Spain near the town of Almonacid de Toledo and mines mylonite to produce track ballast for high-speed and conventional trains (32/56 mm fraction), for high strength concrete and asphalt mixtures (6/12 mm fraction), and for sub-base and base
2022年3月28日 A blasting model is established with a total height of 15m, a slope angle of 75°, and a model width of 20m. Due to the staggered distribution of soft and hard rocks, as well as the staggered distribution of rock formations of different lithologies, large faults, and other factors, the Pingshuo East Open-pit Coal Mine produces an
2023年2月23日 Monjezi et al. [27] developed a fuzzy logic model for prediction of rock fragmentation by blasting. Kulatilake et al. [28] presented a piece of work, predicting the mean particle size in rock blast fragmentation using neural networks. Also, Monjezi et al. [29] used neural networks to predict the rock blasting fragmentation.
2020年7月20日 optimization of rock fragmentation and then modify them, the process is called Quantification and by this process we get almost optimized fragmentation in any blasting site [3]. II. FRAGMENTATION MEASUREMENT TECHNIQUES Quantification of fragmentation on a large scale is an extremely complicated task and extensive research
2020年3月24日 blast design parameters are required affecting the cost of a drilling and blasting operation. A model was developed to calculate blast design parameters and costs on the basis of the required 80% fragment size needed for crusher operation. The model is based on previously developed fragmentation models, found in the literature.
Blast fragmentation models are helpful tools for estimating size distribution of blast muckpile. There are different blast fragmentation models appearing in the literature. Generally, the first target of a blast fragmentation model is to predict mean fragment size (50% passing size). Mean size is a central measure for prediction. Blast
2021年1月12日 The Kuz-Ram fragmentation model 20 years on C.V.B. Cunningham African Explosives Limited, Modderfontein, South Africa ABSTRACT: The Kuz–Ram model is possibly the most widely used approach to estimating fragmenta-tion from blasting, and renewed interest in the field of blast control has brought increased focus on the model.
Lorem ipsum dolor Address: No.169, Science (Kexue) Avenue, Tel: 0086-371- Email: [email protected]