Study on nonlinear time series model of vibration welding process of aluminum alloy
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摘要: 针对7系列超硬铝在传统熔焊过程中易出现热裂纹、气孔和焊接接头软化等问题，研究振动焊接工艺过程中，焊接工艺参数变化与焊接接头强度间的非线性关系机理，建立基于焊接过程工艺参数测量数据的7075超硬铝振动焊接接头强度非线性时间序列预测模型. 文中在7075超硬铝振动焊接过程参数测量数据的基础上，建立了焊接过程参数时间序列，并在此基础上研究建立了焊接过程系统相空间重构参数及确定性检验方法. 根据重构相空间的相点演化轨迹与焊接接头强度参数间的非线性关系，建立相空间相点演化轨迹的人工神经网络拟合模型，对焊接接头的断后伸长率、抗拉强度、硬度、焊缝余高、晶枝最大粗度、晶粒数量等物理参数进行计算. 根据建立的模型进行的一系列焊接接头强度试验显示. 结果表明，该模型的预测结果可以满足工程需要，具有工程实用价值.Abstract: To solve the problems of hot cracks, pores and softening of welded joints in the traditional welding process of 7 series super hard aluminum, the mechanism of nonlinear relationship between welding process parameters and the strength of welded joints during vibration welding process is studied in the paper. The nonlinear time series prediction model of 7075 super hard aluminum vibration welded joints with process parameter measurement data. Used the parameter measurement data of 7075 super hard aluminum vibration welding process, the time series of welding process parameters is established, and the phase space reconstruction parameters and deterministic test methods of the welding process system are established based on time series. The artificial neural network model of the phase space phase point evolution trajectory is established in the basis of the nonlinear relationship between the phase evolution trajectory of the reconstructed phase space and the strength parameters of the welded joint. The model is used to calculate the physical parameters such as the elongation after fracture, tensile strength, hardness, weld reinforcement, maximum coarseness of the crystal, and the number of crystal grains. A series of welded joint strength tests for the established model show that the prediction results of this model can meet the engineering practical value.
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