%0 Journal Article
%T 基于S试件的加工中心电主轴载荷谱编制<br>Load spectrum compilation for machining center spindles based on S-shaped specimens
%A 陈代伟
%A 吴军
%A 张彬彬
%A 王立平
%A 梁建红
%J 清华大学学报（自然科学版）
%D 2018
%R 10.16511/j.cnki.qhdxxb.2018.21.024
%X 开展以载荷谱为指导的电主轴模拟加载试验是检验主轴可靠性的一种重要途径。该文提出一种基于切削力系数辨识及切削仿真的加工中心电主轴载荷谱编制的方法。基于切削力模型，开展切削力系数辨识实验，然后将辨识得到的切削力系数代入到切削力模型用于切削力计算，并通过对比实验检验切削模型的准确性；在AdvantEdge FEM软件的PM 3D（production module 3D）模块中开展基于S试件的切削仿真，获取切削参数的时间历程；结合切削力模型与切削S试件的切削参数，仿真获取较准确的动态切削力，并用雨流计数法进行循环计数；根据计数结果对备选概率分布模型进行参数拟合，通过拟合图形与KS（Kolmogorov-Smirnov）检验值的分析比较，筛选出的最优模型即为基于概率分布模型的载荷谱。基于该载荷谱，在一台电主轴可靠性试验台上进行了加载试验来验证载荷谱对加载试验的指导作用。结果表明：基于仿真的动态切削力与实验值基本一致，可用于载荷谱编制；该载荷谱可以指导加载试验。该方法为主轴可靠性试验奠定了坚实基础。<br>Abstract：Spindle reliability tests characterized by the load spectrum are used to test spindle reliability. This paper presents a spindle load spectrum compilation method based on coefficient identification and cutting simulations. The cutting force coefficient in a cutting force model is identified and the cutting force predicted by the cutting model is compared with the measured cutting force to validate the model. The simulated cutting force on an S-shaped specimen was analyzed to obtain time histories of the cutting parameters. The cutting force model and the cutting parameters were then used to predict the dynamic cutting force with the cycles of the dynamic counted with the rain-flow counting method. Alternative probability distribution models were fit to the counting result with the best model selected based on the multi-fitting curve and the KS (Kolmogorov-Smirnov) test. The load spectrum was then used to guide a spindle loading test. The results show that the dynamic force is accurately predicted and can be used to predict the load spectrum and also guide loading tests. This method will improve spindle test reliability.
%K 载荷谱
%K 切削力模型
%K 系数辨识
%K 雨流计数
%K 概率分布模型
%K &lt
%K br&gt
%K load spectrum
%K cutting force model
%K coefficient identification
%K rain-flow counting
%K probability distribution model
%U http://jst.tsinghuajournals.com/CN/Y2018/V58/I12/1107