Computation calculation
The calculation of the sampling is one of the important contents of the sampling design. The specific sampling points and the distribution of the sampling weight of each sampling point are all calculated by the matching calculation. There are two methods for matching calculations: repeated increase and decrease calculation and optimized sample calculation. The general procedure for the repeated increase and decrease of the calculation method is as follows: Table 2 Allowable fluctuation range of main components and associated components in the ore sample Mini concrete mixer can be used to mix dry hard concrete, plastic concrete, flow concrete, light aggregate concrete and various mortars, so they were popular in precast concrete plants, industrial and civil construction works, bridges, water works, roads, airport and harbors. JS series mini Concrete Mixers are double horizontal axle forced mixers with two advantages of independent performance or forming simple concrete mixing plants with PLD series of batching machines. Mini Concrete Mixer Machine,Small Concrete Mixer Machine,Self Loading Concrete Mixer,Home Built Concrete Mixer Shandong Zeyu Heavy Industry Science and Technology Co.,Ltd. , https://www.sdmobileconcretebatchingplant.com
1. Determine the number of taken ore samples. According to the requirements of the ore dressing test on the number of test ore samples, the number of mined samples is determined.
2. Determine the weight of the mined sample. According to the weight of the test ore sample required by the beneficiation test, and considering the amount of shipment required for the loss of the shipment, the processing and consumption of the processing, and the final sample and shrinkage requirements, the weight of the ore sample is determined. The lower limit of the weight of the ore sample is generally: (1) For the optional test, it should be no less than 2 times the weight of the test sample; (2) For the laboratory process test, it can be calculated as follows: Q=Kd 2 ( 1) Q-mine sample (representative) minimum weight, kg; d-mine sample maximum particle size, mm; K-ore property coefficient, and ore type, useful mineral content, inlay size, density It is related to the degree of uniformity of distribution. The K value should be obtained by the test method, and the data in Table 1 is for reference. (3) For the laboratory to expand the continuous test, it shall be not less than 1.2 times the weight of the test ore and shall be checked by the formula 1; (4) For the semi-industrial test and the industrial test, it shall be not less than 1.2 times the weight of the test sample. . Table 1 K value of various ores Ore type K value Ore type K value Ore type K value Ore iron ore (extremely uniform distribution) of manganese ore copper chromite ore Ni ore (sulfide ore) Ni ore (silicates) cobalt molybdenum ore lead ore, zinc ores mercury antimony ore ores of tungsten ores and gold-tin ores (particles < 0.1mm) 0.1 to 0.2 0.05 0.1 to 0.2 <(0.25 to 0.3) 0.1 to 0.5 0.2 to 0.5 0.1 to 0.3 0.2 to 0.5 0.1 to 0.5 0.2 > (0.1 to 0.2) > (0.1 to 0.2) 0.1 to 0.5 0.2 0.2 Gold (particles <0.6mm) gold (particles> 0.6mm) rare earth ore of tantalum, niobium ore zirconium, lithium, beryllium, cesium, rubidium, scandium ore mining phosphate rock sulfur natural magnesite dolomite limestone and sulfur, boron ore fluorite kaolin clay mine 0.4 0.8 to 1.0 0.1 0.2 0.2 0.1 to 0.2 0.1 to 0.2 0.05 to 0.3 0.2 0.05 to 0.1 0.05 to 0.1 0.05 to 0.1 0.1 to 0.2 0.1 to 0.2 0.1 to 0.2 Bauxite bauxite (non-uniform) Talc graphite mine ore alum gypsum mine barite ore arsenic (homogeneous) barite (non-uniform) chrysotile quartz feldspar mineral salts (homogeneous) ore 0.1 to 0.3 0.3 to 0.5 0.1 to 0.2 0.1 to 0.2 0.2 0.2 0.2 0.1 0.2 to 0.5 0.1 to 0.2 0.2 0.1 to 0.2 0.1 to 0.2 0.1 to 0.2
3. Determine the factors that need to be controlled for sampling. According to the industrial grade, ore type, structural structure, grain size and characteristics of the various ores in the same ore sample, the average grade and grade fluctuation characteristics of the main components, the content and distribution of the associated components, etc., and their beneficiation The possible effects of the test are summarized as factors that need to be controlled when taking the ore sample. For example, the grade interval can be delineated according to the main components, and a list of control factors for taking ore samples can be drawn up to determine the sampling points from different grades of various ores; for example, it can be closely related to the contact with the ore body. The rock properties of the bottom plate and the stone layer are summarized and the control factors of the rock sample are summarized to determine the point of taking the rock sample.
4. Calculate the weight taken to distribute the sample at each sampling point. Calculate the proportion of reserves in different grades of ore according to sampling control factors, and calculate the weight of the ore sample to be taken at each sampling point.
5. Adjust the average grade of the main components of the ore sample. The average grade of the main components of all ore samples is calculated by weight weighting method according to the sampling points initially selected in different grade intervals and the weight of the assigned ore samples. If the difference between this grade and sampling requirements is large, the adjustment can be recalculated by changing the position of some sampling points or changing the weight of some sampling points. This is repeated several times until the average grade of the main components of the ore sample meets the sampling requirements.
6. Adjust the average grade of the associated components of the ore sample. According to the above-mentioned determined sampling points and the taking weight of each sampling point, and based on the grades of the associated beneficial and harmful components of each sampling point, the average grade of the associated components of all the ore samples is calculated by the weight weighting method. If the difference between the grade and the required sampling quality is large, the weight of the sampling points can be appropriately adjusted to achieve the important associated components under the premise of ensuring that the average grade of the main components of the ore sample meets the sampling requirements. The average grade is substantially consistent with the average grade of the associated components within the sampling range.
7. The above is the general procedure for the sampling design to increase and decrease the matching calculation method. It should also be noted that: (1) During the sampling and construction process, if the actual grade of the mined samples at each sampling point differs greatly from the calculated grade of the sampling design, and the sample weight is properly adjusted, the mined sample position cannot be reached. For the purpose value, the sampling point with large tolerance should be selected or a small number of sampling points should be added. (2) In the sampling calculation and sampling construction of the sampling design, a certain fluctuation range is allowed between the average grade of the proposed or produced ore and the geological average grade of the ore represented by it. See Table 2 for the range of grade fluctuations allowed by the sampling design and sampling construction system. Normally, the main useful components are allowed to fluctuate downwards; for the main harmful components, upward fluctuations are allowed; and for the accompanying components, the fluctuation range is appropriately relaxed as appropriate. Component grade /% Allowable fluctuation range ± Component grade /% Allowable fluctuation range ± >45 30～45 20～30 15～20 10～15 5～10 1.00 1.00 1.00 1.00 0.50 0.50 1～5 0.5～1 0.1～0.5 0.05～0.1 0.01～0.05 <0.01 0.20 0.10 0.02～0.05 0.01 0.002～0.005 0.001