基于压痕功的加工表面残余应力测试实验

可调距螺旋桨的加工表面质量对其高服役性能和长寿命服役具有直接而重要的影响。本文开展加工表面残余应力测量和数据处理的研究,采用基于压痕功的残余应力测量方法及神经网络求解算法,针对镍铝青铜材料力学性能,由有限元仿真分析得到关系数据库,训练神经网络,实现对镍铝青铜材料加工残余应力的求解。通过对镍铝青铜加工试件残余应力测量数据的计算与分析评价,开展了不同加工参数对残余应力影响规律的实验测量研究。通过测量实验与数据分析,获得了不同刀路下残留高度及机床不同转速与残余应力间的关系。测试实验表明:基于压痕功残余应力测试方法能评价不同加工参数下镍铝青铜材料的残余应力状态,可为实际加工生产提供工艺参数优化指导。

Experiments on Residual Stress of Machined SurfaceBased on Indentation Work

The machined surface quality of controllable pitch propeller has a direct and important effect on its high service performance and long service life. In this paper, the residual stress on workpiece surface is measured and analyzed. The residual stress measurement method based on indentation work and the neural network solution algorithm are adopted. The mechanical properties of Ni-Al bronze material are studied. The database obtained by finite element simulation analysis is used to train the neural network, so that the residual stress of the Ni-Al bronze material can be achieved. Through the calculation and analysis of the measured residual stress data of the Ni-Al bronze workpieces, the effects of different machining parameters on the residual stress are studied experimentally. By measurement experiments and data analysis, the relationship between the residual height or spindle speed and the residual stress is obtained. The measurement experiments show that the residual stress measurement method based on indentation work can evaluate the residual stress states of the Ni-Al bronze material under different machining parameters, and can provide guidance for the process parameter optimization of actual machining and production.