GA-Based Optimal Design of Derricking Balance Mechanism of Bucket Wheel Stacker Reclaimer

2012 ◽  
Vol 562-564 ◽  
pp. 672-675
Author(s):  
Man Ping Zhao
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Cost Efficiency ◽  
Loading Condition ◽  
Matlab Toolbox ◽  
Multi Objective ◽  
Optimum Model ◽  
Balance Mechanism

The balancing system of a four-bar mechanism is frequently applied for bucket staking-reclaiming machines. For this purpose, a Multi-objective optimum model is developed in this study. Moreover, Genetic Algorithm is used for optimal design of the derricking mechanism and further programmed using MATLAB toolbox. To this end, this approach improves the mechanism performance, loading condition and cost-efficiency.

A Structure Optimization for Hooklift Arm Device Based on the Genetic Algorithm

2012 ◽  
Vol 455-456 ◽  
pp. 1504-1508
Author(s):  
Huan Ming Chen ◽  
Da Wei Liu
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Parameter Optimization ◽  
Structure Optimization ◽  
Optimization Method ◽  
Optimized Design ◽  
Design Decision ◽  
Original Design ◽  
Multi Objective ◽  
Engineering Constraint

Based on the theory of FEM, the hooklift arm is modeled with the FEM software, and the structure of the device is optimized with genetic algorithm in a multi-objective/multi-parameter optimization environment, which results in an optimal design decision of the hooklift arm device under the engineering constraint. Comparison between optimized design decision and original design decision shows that the optimization is correct and the proposed multi-objective/multi-parameter optimization method is effective in improving the hooklift arm device.

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