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- W2390960467 abstract "To guarantee the processing quality,reduce processing costs,improve productivity,titanium alloys' the optimization of cutting parameters is of great importance. So a method for optimization of milling parameters with an Improved Adaptive Genetic Algorithm( IAGA) is put forward,in which the optimization goals was based on maximum productivity,the constraints was based on machine tool,cutting tools,workpiece and the nonlinear mathematic model of cutting force,tool wear,surface roughness. Compared with conventional genetic algorithm,IAGA can adjust the crossover probability and mutation probability automatically based on the fitness of the population and evolution algebra. The experiment results show that the proposed way is feasible and effective." @default.
- W2390960467 created "2016-06-24" @default.
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- W2390960467 date "2013-01-01" @default.
- W2390960467 modified "2023-09-26" @default.
- W2390960467 title "Parameter Optimization of Milling Titanium Alloy Based on Improved Genetic Algorithm" @default.
- W2390960467 hasPublicationYear "2013" @default.
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