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Oscillating cooling characteristics in piston oil cooling gallery of internal combustion engines were simulated by adopting Coupled Level Set Volume of Fluid method and Arbitrary Lagrangian Eulerian dynamic grid technique. The influence relationship of structure parameters and oil filling rate to the average temperature of oil gallery was studied by response surface method. The optimal structure parameters and oil filling rate were acquired by Multi-Objective Genetic Algorithm method.