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首页> 外文期刊>Проблемы прочностиПроблемы прочности: на рус．укр．и анг．языках >Effect of Grinding Conditions of a TC4 Titanium Alloy on Its Residual Surface Stresses
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Effect of Grinding Conditions of a TC4 Titanium Alloy on Its Residual Surface Stresses

机译：TC4钛合金的磨削条件对其残余表面应力的影响

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摘要

The grindability of titanium alloys that are classified as hard-to-machine materials is studied in high-speed cylindrical grinding using a cubic boron nitride (CBN) wheel. The investigation is concerned with residual surface stresses, including the construction of its empirical model, orthogonal experiments with a CBN grinding wheel at a speed of 45-150 m/s, and prediction with the back propagation (BP) network. The results of residual surface stress measurements obtained in grinding experiments and of simulation analysis for five sets of grinding conditions are compared, it can be seen that the empirical model is partially applicable to a Ti-6Al-4V titanium alloy (TC4) under examined grinding conditions. Generally, the calculation results with the empirical model exhibit a significant deviation from the data of actual measurements in some cases. The BP network possesses the function of complex nonlinear mapping and adaptive learning. So the BP network is adopted to predict the relation between residual surface stresses and three key grinding conditions accurately enough. The accuracy of the network is verified, which lays the foundation for its in practical application.
机译：在使用立方氮化硼（CBN）砂轮的高速圆柱磨削中，研究了归类为难加工材料的钛合金的可磨性。研究涉及残余表面应力，包括其经验模型的构建，使用CBN砂轮以45-150 m / s的速度进行正交实验以及使用反向传播（BP）网络进行预测。比较了在磨削实验中获得的残余表面应力测量结果和五组磨削条件的模拟分析结果，可以看出，经验模型部分适用于经过检验的Ti-6Al-4V钛合金（TC4）条件。通常，在某些情况下，经验模型的计算结果与实际测量数据存在很大差异。 BP网络具有复杂的非线性映射和自适应学习的功能。因此，采用BP网络可以足够准确地预测残余表面应力与三个关键磨削条件之间的关系。验证了网络的准确性，为实际应用奠定了基础。

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