Optimization of geometric parameters of compound pendulum jaw crusher
Yang Luyun
(Jiaozuo Institute of Technology, Jiaozuo, Henan 454000)
Abstract: An optimized mathematical model of the main parameters of the working mechanism of the compound pendulum jaw crusher was established. The compound stroke method was used to optimize the design of the compound pendulum jaw crusher with the minimum stroke characteristic value as the target.
Keywords: compound pendulum jaw crusher; optimal design; variable
CLC number:
Document identification code: Article number: (TD451 A 1008-8725 2003 03-0011-03)
0 Preface
The working mechanism of the compound pendulum jaw crusher is simplified as a crank and rocker mechanism. In designing, it not only needs to meet the requirements of the existing conditions of the crank, but also must consider the requirements for reducing the wear of the tooth plate and reducing the energy consumption. Traditional design methods often determine the geometric dimensions by drawing trial and error, which is time-consuming and has low accuracy. Using a computer for optimal design is time-saving and simple, and can consider many constraints at the same time.
1 Objective function
The main problem of the jaw crusher is the serious wear of the tooth plate. While satisfying the required compression amount of crushed ore, the vertical stroke of the dynamic jaw is minimized to minimize the characteristic value of the dynamic jaw m = minimum. The small characteristic value not only reduces energy consumption, but also reduces the crushing rate of minerals. Therefore, the objective function is taken as h [1]
Minf (X) =
Where-vertical travel;
h ——— Horizontal travel. S
2 Design variables
The principle of selecting design variables is to reduce the number of design variables as much as possible under the premise of meeting the basic design requirements, and set some parameters as design constants according to mature experience as much as possible. After analysis, the working characteristics of the jaw crusher are affected by multiple variables;
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