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Cobalt crusts spiral drum collection head machining parameters optimization and dynamic simulation

Author: ChenYuanYi
Tutor: LiYan
School: Central South University
Course: Mechanical and Electronic Engineering
Keywords: energy consumption ratio collective rate waste in-ore rate genetic ant algorithm LS-DYNA
CLC: TD424
Type: Master's thesis
Year: 2011
Downloads: 62
Quote: 1
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Abstract


In the process of mining cobalt crust, crushing of cobalt-rich and its bedrock is a very important step because it has to ensure high collective rate and reduce energy consumption ratio of crushing and waste in-ore rate. This is the key issue of the relevant research.This paper, on the basis of theoretical derivation, establishes an optimization model. In addition, a hybrid algorithm based on genetic algorithm and ant algorithm is built. Moreover, corresponding optimization is made on the optimization model in accordance with different tiny topographies. Meanwhile, LS-DYNA is used to do a dynamic simulation on the model. Finally, experiment is used to verify the correctness of the optimal model.The main results and conclusions are as following:1. In light of the characteristics of sea-floor mining, mechanical analysis of the pick and the mining head is conducted and the force calculating formulas of the pick and mining head are worked out. Additionally, in light of the kinetic characteristics of helical drum and its pick, the approximate calculating formula for average thickness of cobalt crust cutting.2. According to the characteristics of the mining head, calculating formulas for three direction resistance force of picks are deduced. And a calculating model for cobalt crust cutting and collection capacity of its bedrock is established. Besides, an optimization model is built considering many factors such as consumption ratio, collective rate and waste in-ore rate.3. A hybrid algorithm based on genetic algorithm and ant algorithm is built. The hybrid algorithm, by making full use of global fastness of genetic algorithm and accuracy local convergence of ant algorithm, realizes optimization and saves time. At the same time, the corresponding optimal design program is designed to optimize the optimization model established in accordance with different tiny topographies. Finally, a linear regression analysis of the optimization results reveals the relationship between axis height of mining head, traction speed, the rotating speed and roughness, relative average height, average elevation of the standard deviation.4. ANSYS/LS-DYNA is used to carry out a dynamic simulation of a cobalt crusts cutting. And variation rules of energy consumption ratio of the cobalt crusts cutting and of three direction resistance are concluded from the simulation which verifies the correctness of the optimal design results. Energy distribution curves of every load in the frequency field are discovered by using MATLAB to analyze the frequency spectrum of three dimensional resistance. The analysis of the energy distribution curves reveals that the main frequencies of loads center in the range of 0～20Hz. Therefore, in the design of the structure of cutting head, the natural frequency of cutting head should keep off the main frequencies.5. Based on the above mentioned research, the authors conducts an experiment research. The experiment test verifies that the optimal results and the experiment results are similar, thus achieving the expected purpose of the theory research.

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CLC: > Industrial Technology > Mining Engineering > Mining machinery > Mining machinery > Seabed deposits and mining machinery
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