基于混合遗传算法的数控铣削参数多目标优化
기우혼합유전산법적수공선삭삼수다목표우화
Multi-Objective Optimization of the NC Milling Parameters Based on Hybrid Genetic Algorithm
  • 万方数据
    机床与液压 궤상여액압
    MACHINE TOOL & HYDRAULICS
    2014年 7期 67-69,118 ,共4页

    谢科磊%王彪%郝领斌%石文伟

    사과뢰%왕표%학령빈%석문위

    数控铣削%切削参数%混合遗传算法%遗传算法 (GA)%模拟退火算法 (SA)%多目标优化 數控鐉削%切削參數%混閤遺傳算法%遺傳算法 (GA)%模擬退火算法 (SA)%多目標優化
    수공선삭%절삭삼수%혼합유전산법%유전산법 (GA)%모의퇴화산법 (SA)%다목표우화
    NC milling%Cutting parameters%Hybrid genetic algorithm%GA%SA%Multi-objective optimization
    针对数控程序编写以及数控仿真时切削参数的优化问题，根据最优化思想，构建数控铣削加工的数学模型，应用遗传算法与模拟退火算法相结合的混合遗传算法及MATLAB工具对切削参数进行优化，并用实验验证其对提高数控机床加工效率和降低加工成本的可行性。
    침대수공정서편사이급수공방진시절삭삼수적우화문제，근거최우화사상，구건수공선삭가공적수학모형，응용유전산법여모의퇴화산법상결합적혼합유전산법급MATLAB공구대절삭삼수진행우화，병용실험험증기대제고수공궤상가공효솔화강저가공성본적가행성。
    Aimed at the optimization of cutting parameters problem in numerical control (NC)programming and NC simulation, according to the most optimization idea,the NC milling mathematical model was built.The cutting parameters by MATLAB tools and a hybrid genetic algorithm (GA)combined by genetic algorithms and simulated annealing (SA)were optimized.By using experiments, it verifies the feasibility and the improvement of the efficiency of CNC machining,as well as reducing cost.
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