中国机械工程
中國機械工程
중국궤계공정
CHINA MECHANICAl ENGINEERING
2012年
10期
1161-1164
,共4页
多元质量损失%遗传算法%装配质量%信噪比
多元質量損失%遺傳算法%裝配質量%信譟比
다원질량손실%유전산법%장배질량%신조비
multivariate quality loss%genetic algorithm%assembly quality%signal--to--noise ratio(SNR)
以装配质量损失最小为目标,采用信噪比衡量各质量指标对总体装配质量波动影响的权重,在Atiles-leon多元质量损失函数的基础上建立了基于信噪比的多元装配质量损失模型,采用遗传算法对该模型进行了优化求解,且求解精度高、收敛速度快。最后通过某一轴承组件装配实例验证了该方法的有效性。
以裝配質量損失最小為目標,採用信譟比衡量各質量指標對總體裝配質量波動影響的權重,在Atiles-leon多元質量損失函數的基礎上建立瞭基于信譟比的多元裝配質量損失模型,採用遺傳算法對該模型進行瞭優化求解,且求解精度高、收斂速度快。最後通過某一軸承組件裝配實例驗證瞭該方法的有效性。
이장배질량손실최소위목표,채용신조비형량각질량지표대총체장배질량파동영향적권중,재Atiles-leon다원질량손실함수적기출상건립료기우신조비적다원장배질량손실모형,채용유전산법대해모형진행료우화구해,차구해정도고、수렴속도쾌。최후통과모일축승조건장배실례험증료해방법적유효성。
Aiming at minimizing assembly quality loss, a multi--assembly quality loss model using SNR was established based on Atiles--leon multivariate quality loss function herein. The model used SNR to measure influence weights of every assembly quality indicator on the overall assembly quality fluctuations. A genetic algorithm was used to optimize and solve the model. It's proved that the model has advantages of high accuracy and fast convergence. Finally, an example of bearing component assembly shows that the proposed method is effective.