单点增量成形是一种柔性工艺，在航空航天领域有着广泛应用，尤其适用于定制化、小批量生产的构件。然而针对不同模型，适宜加工的工艺参数区间尚未明确，需要测试不同的参数。采用正交实验，进行多因素方差分析，讨论板材厚度、角度、层进量、进给速度和自转速度等参数对最大成形深度的影响。根据实验结果搭建基于Adaboost算法的回归模型，对6061铝合金薄板在100 mm成形直径下的成形深度进行预测。结果表明：单因素对最大成形深度的影响由大到小分别为：厚度、层进量、角度量、进给速度、自转速度，且在最快成形速度下获得的最大成形角度为70°，板料厚度为1 mm，层进量为0.2 mm，进给速度为2000 mm/min，自转速度为2000 r/min。此外，依据正交实验创建的回归模型具有高准确度，与Abaqus仿真结果及实际实验结果均对应，4组测试与仿真最大误差为4.24%，与实际成形最大误差值为-2.45%。

Single point incremental forming （SPIF） is a highly flexible manufacturing process widely utilized in the aerospace industry， particularly suited for customized and small-batch production components. However， the appropriate range of process parameters suitable for different models remains undefined， necessitating extensive parameter testing. An orthogonal experiment is conducted to perform a multi-factor analysis of variance， discussing the influence of parameters such as sheet thickness， angle， incremental amount， feed rate， and rotational speed on the maximum forming depth. Based on the experimental results， a regression model using the Adaboost algorithm is developed to predict the forming depth of 6061 aluminum alloy thin sheets at the forming diameter of 100 mm. The results indicate that the influences of single factors on the maximum forming depth in descending order of significance are： thickness， layer increment， angle， feed rate， and rotational speed. Under the optimal forming conditions achieved at the fastest forming speed， the maximum forming angle is 70°， the sheet thickness is 1 mm， the layer increment is 0.2 mm， the feed rate is 2000 mm/min， and the rotational speed is 2000 r/min. Furthermore， the regression model created based on the orthogonal experiment demonstrates high accuracy， correlating well with both the Abaqus simulation results and the actual experimental outcomes. The maximum error between the four groups of tests and simulations is 4.24%， while the maximum error with the actual forming results is -2.45%.