The evaluation of the test results is a method of judging whether the test results are good or bad. Although all the data obtained in the scientific experiment work should be useful for us to analyze and judge the problem after de-authentication, for a specific occasion, there is always only one or a few to answer a specific question. Data is decisive and can be used as the main criterion for judging problems. This is the criterion.
In the ore dressing process, the indicators commonly used to judge the efficiency of the sorting process (and other separation processes such as screening and classification) are recovery rate ε, grade β, yield γ, metal amount P, rich ore ratio, and beneficiation ratio . These indicators can not reflect both the quantity and quality of both efficiency beneficiation process, for example, the amount of metal recovery and a number of indicators, grade and high-grade ore ratio is quality indicators, yield and mineral processing are different than if combined with other indicators There is no way to explain the problem at all, so in the actual work, two indicators are used in pairs, namely a quantity indicator and a quality indicator. In order to compare different mineral processing plans (processes and conditions), as long as the original ore grades are similar, it is generally judged by the pair of supply grades and recovery rates. If the grades of raw ore are far apart, it is necessary to consider the use of rich ore ratios instead of grades as quality indicators. ; also commonly yield coal industry to do the selected number of indicators, provided that all kinds of raw coal, "coal-bearing amount" are less, for coal quality requirements are much the same, and thus generally means less yield loss. As for other indicators, such as metal is mainly used for production accounting in the factory, it is used as a criterion only in a few cases in laboratory tests; the beneficiation ratio is only an auxiliary index, and it is not commonly used in the ore dressing test.
Using a pair of indicators as a criterion often leads to situations that are difficult to distinguish. For example, in two experiments, one has a higher grade and a lower recovery rate, and the other has a lower grade and a higher recovery rate, so it is not easy to distinguish which experiment is better. Therefore, for a long time, many people have been working on finding a comprehensive index to replace the above-mentioned method of using a pair of indicators as a criterion, and proposed various efficiency formulas for this purpose. Unfortunately, in the specific conditions encountered in the beneficiation process, the degree of quality in terms of the quantity of separation efficiency is often different. In fact, it is impossible to find a formula that can “flexibly” reflect such requirements, and thus actually It is impossible to find a general comprehensive indicator to completely replace the existing method of using a pair of indicators as a criterion. Another method is to use the graphical method to evaluate the beneficiation efficiency. As we will see below, the essence of the graphic method is also based on a pair of indicators, but the curve in the graph can be used to infer which one is the same when the other is the same. Who is low, so there will be no difficult to distinguish the situation, the disadvantage is that the continuous curve often requires more raw data, and the corresponding test workload is also larger, so it can not be used under any circumstances.




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