The Mining Analysis System Of Propellant Main Functional Ingredient And Burning Rate Performance Regular Pattern

With the rapid development of modern national defense and weapons propellant as bullets, the main power source of the rocket, had been put forward higher requirements, especially in the higher performance requirements of the propellant. Whether it is military or military enterprises hope Explosives formula designed energy performance, burning rate and mechanical properties, such as to achieve a good balance, making the use of explosives to maximize the cost to achieve the lowest. Currently, the experimental data and the burning rate formulation experts made mostly rely on a large number of repeated experiments. Therefore, the higher cost of these data acquisition and low efficiency, should address these existing data using data mining techniques, without increasing the cost of the experimental data in the hidden premise to explore some of these burning rate of the main functional components and formula potential between the law and its content, so not only reduces the cost of formulation design and formulation design also improves efficiency. So Mining main functional components of the propellant formulation performance relationship with the burning rate without delay.Research work includes:(1)The analysis sorting to text-based original experience in formulation performance data (ie acquisition of nearly3000propellant formulation and its burning rate data used in data mining, involving about9000raw data files) and manage the results of data with propellant formulations performance database management system to be created in this paper.(2)The analysis choice of study object, that is commonly experienced by the recipe database propellant burning rate catalyst frequency of use of statistical analysis, and the analysis results If the histogram are given, pursuant to select from a relatively large amount of data Recipe data and its corresponding burning rate data for the study.(3) Using k-means algorithm in data mining techniques to give implementation of thecluster analysis to experience formulation data.(4)Using regression analysis techniques clustering results of multiple linear fitting analysis, the eventual establishment of a mathematical model of the relationship between the propellant ingredients and burning rate catalyst performance.(5) The establishment of a propellant burning rate of the main functional components and performance analysis of the law of data mining software prototype system.Propellant main functional components and burning rate performance law mining analysis system mainly real the get data, cluster analysis, the resulting output, regressio n analysis, function verify these five functions. Using the system data for the propella nt formulation experience library implemented a preliminary analysis of the dataminin g results show that lead dioxide catalyst (Pbo2), copper oxide (Cuo), carbon black (Car bon black) content exists between the burning rate and the formula:y=-1.4783+0.6643xi+0.9576x2+0.3429x3(where y is the burning rate values, xi for content Pbo2, the x2is Cuo content, x3is the content of the Carbon black) as described simple linear relationship.This conclusion provides theoretical reference for improving the burning rate in accordance with.