英语翻译However,the works on milling stability and cutting para-

英语翻译
However,the works on milling stability and cutting para-meters optimization taking into account the parameters uncer- tainties were addresse dlittle.In the modal tests,Kim and Schmitz[12] considered the transducer calibration coefficient uncertainty and the cosine error caused by the incorrect force application direction and the mass loading introduced by the accelerometer.Schmitz etal.[13] described a case study devised to quantify the relative contributions of geometric,thermal,contouring,and cutting force errors to machined part dimensional errors,as well as the stability lobe.Tool geometries and wear also have sig-nificant influence on the machining stability,leading to the uncertainties of the stability Lobe diagram .Chiou and Liang [14]studied intensively the mechanism of a self-excited vibration
development process with tool wear effect.Duncan et al.[15] used the Monte Carlo method to determine the associated uncertainties in the predicted stability limit at each spindle speed taking into account model inputs uncertainties including the tool
point frequency response function and cutting force model coefficients.However the estimated stability intervals,i.e.upper and lower bounds of boundary curves are too large to supply a
useful advice to the parameters selection in an actual milling process.Kurdi [16] studied the robust optimization of SLE and MRR in milling process with uncertainties.In his research,the safety factor design analogy was used in order to account for uncertainty in the axial depths tability limit.The deterministic
optimization formulation was modified to account for the axial depth uncertainty.But the uncertainties of Lobe diagram and SLE,which determine the milling stability and partquality,were not taken into account in the robust optimization formulation.And
the detailed optimization procedures are absent.Totis [17] used a
new probabilistic algorithm for a robust analysis of stability in milling process,which performs the stability analysis on an uncertain dynamic milling model.The main objection to the general use of probabilistic analysis techniques is that non-deterministic properties cannot always be exactly represented using the probabilistic concept.Indeed,probabilistic methods cannot deliver reliable results unless sufficient experimental data are available to validate the assumptions made regarding the joint probability densities of the random variables or functions involved.

然而,对铣削稳定性和切削用量优化考虑参数不进行处理.在模态试验,基姆和施密茨[ 12 ]认为传感器标定系数的不确定性和余弦误差的不正确的施力方向和质量负荷的介绍引起的加速度计.施密茨等.[ 13 ]描述了量化的几何,热,轮廓的相对贡献一个案例研究,以及切削力误差对加工零件的尺寸误差,以及稳定性.刀具几何参数和磨损也有显著的影响,对加工稳定性的信号,导致的稳定性叶图的不确定性.邱、梁[ 14 ]研究了自激vibrationdevelopment过程中刀具磨损的作用机制.邓肯等人.[ 15 ]用Monte Carlo法确定预测的稳定性,限制在每个主轴速度并考虑不确定性模型的输入.包括toolpoint频率响应函数和切削力模型系数相关的不确定性.然而,估计的稳定区间,上、下边界曲线的范围过大,在实际的铣削过程中参数的选择提供有益的建议.库尔迪[ 16 ]研究了SLE和MRR的鲁棒优化的铣削过程的不确定性.在他的研究中,安全系数设计类比以占的轴向深度稳定极限的不确定性.deterministicoptimization配方修改帐户的轴向深度的不确定性.但不确定性的波瓣图和系统性红斑狼疮,确定铣削稳定性和partquality,不在强大的优化配方的考虑.和详细的优化程序是不存在的.经常[ 17 ]重新使用概率算法的稳定性的鲁棒性分析铣削过程中,进行稳定性分析,对不确定的动态铣削模型.以概率分析技术一般使用主要的反对意见是,非确定性的性能往往不能准确代表使用概率的概念.事实上,概率方法不能提供可靠的结果,除非有足够的实验数据可用来验证了作出的假设随机向量的概率,密度函数.


应该是这样翻译.