Multidisciplinary Optimization for LHD Working Device Based on Isight

ABSTRACT

The design of the LHD working device is a complex problem, often related to multi-variables, multi-objective, nonlinear constraint. In this paper, MDO theory is proposed with 14t wheel loader as research target and Isight is as the multidisciplinary optimization platform combined Matlab, Solid work sand Simulation. The mathematical model of working device is established based on Matlab, and single disciplinary optimization of kinematic is executed with the application of genetic algorithms. The study includes: setting up the finite element model under an Ansys Workbench to execute a single disciplinary multiple goal driven optimization on stiffness and mass target; comparison of the results of multidisciplinary and single disciplinary optimization. The analysis result indicates that this platform enables the combination of experimental design and multi-objective optimization to automatically calculate, build modeling and simulate. The obtained Pareto graph and Pareto front graph could provide data support for designer’s appropriate optimal selection. Compared with the single disciplinary optimization, the bucket tilt force multiplication coefficient is increased by 1.5% and boomer mass decreased, by 18%.

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