基于切深模型的汽车曲轴轴颈巴厘线磨削精度控制

发布时间：2018-08-12 16:10

【摘要】：汽车曲轴作为发动机关键零件,其主轴颈、连杆颈巴厘线的磨削精度对发动机性能有较大影响。切入磨削过程中,成形砂轮轮廓将直接反映在曲轴轴颈上,因此研究了基于砂轮修整切深模型的成形砂轮廓形修整误差在线测量及补偿方法,通过控制砂轮廓形修整精度来保证曲轴轴颈巴厘线的磨削精度。采用声发射传感器搭建了砂轮修整过程监测系统,建立了砂轮圆弧修整过程中任意位置的声发射信号均方根值与修整切深的数学模型。通过构建切深模型参数与修整进给速度和修整圆弧中凸量的函数关系,得到了砂轮圆弧修整变参数切深模型,提高了切深模型的准确性。在此模型的基础上,提出了砂轮廓形修整误差补偿策略及实现流程。试验证明:采用变参数切深模型可以准确获得砂轮实际修整廓形,定量评定砂轮廓形修整误差,并且修整误差补偿策略能够有效地保证巴厘线廓形磨削精度。
[Abstract]:As a key part of engine, the grinding accuracy of the main axle neck and the Bali line of connecting rod neck has a great influence on the engine performance. In the process of grinding, the profile of the shaped grinding wheel will be directly reflected on the crankshaft journal, so the on-line measurement and compensation method of the profile dressing error of the forming grinding wheel based on the grinding wheel dressing depth model is studied. The grinding accuracy of the Balinese line of crankshaft journal is ensured by controlling the grinding accuracy of grinding wheel profile. The monitoring system of grinding wheel dressing process is built by using acoustic emission sensor. The mathematical model of root-mean-square value and trimming depth of acoustic emission signal at any position in the process of grinding wheel circular arc dressing is established. By constructing the functional relationship between the cutting depth model parameters and the feed speed of dressing and the convex quantity in the dressing arc, the cutting depth model of the grinding wheel arc dressing with variable parameters is obtained, and the accuracy of the cutting depth model is improved. On the basis of this model, the compensation strategy and realization flow of grinding wheel profile dressing error are put forward. The experimental results show that the actual dressing profile of grinding wheel can be accurately obtained by using the variable parameter cutting depth model, and the dressing error of grinding wheel can be quantitatively evaluated, and the compensation strategy of dressing error can effectively guarantee the precision of Bali linear profile grinding.
【作者单位】：上海大学上海市智能制造及机器人重点试验室;上海机床厂有限公司;
【基金】：国家科技重大专项资助项目(2013ZX04002031)
【分类号】：TG580.6

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