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首页> 外文会议>International Conference on Metal Forming >Predicting the eccentricity of tubes by developing a multiple regression model in tube drawing process with tilted die
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Predicting the eccentricity of tubes by developing a multiple regression model in tube drawing process with tilted die

机译：通过倾斜模具开发管拉伸过程中的多元回归模型预测管的偏心率

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Designing an inline thickness-measuring- adjustable die to control the eccentricity, will need finding the relationship between the involved parameters in tube drawing, the materials' properties and the new tube's eccentricity. The wall thickness of the tube is measured inline during the drawing process. The measured wall thickness and the developed regression model are used to predict the optimum tilting angle and tilting position of the die. The importance of this research lies in its uniqueness and effectiveness of the regression model for the process automation. Minitab software as a statistic tool is used to determine and to select the effective independent variables in order to develop the suitable regression model. This model is then applied to predict the eccentricity after tube drawing. The independent variables include the tilting angle of the die, mechanical properties, forming ratio and the geometry of the tube. To this end, a regression model for copper-tubes was developed and was validated for different materials aiming to find a global regression model for all categories of materials. In case of more than one independent variable, the multiple regression model is more accurate than simple regression models. The main advantage of the developed regression model in this study lies in improving the performance of the tube drawing process that is conducted by an inline measuring self-regulation tilted die machine. The results indicate that through applying such an adjustable dynamic system, the eccentricity after tube drawing can be improved by more than 50% in one process step.
机译：设计内联厚度测量可调节芯片以控制偏心率，需要找到涉及的管绘图中所涉及的参数，材料的性能和新管偏心率之间的关系。在拉伸过程中，管道的壁厚在线测量。测量的壁厚和发布的回归模型用于预测模具的最佳倾斜角度和倾斜位置。本研究的重要性在于其流程自动化回归模型的独特性和有效性。 Minitab软件作为统计工具用于确定和选择有效的独立变量，以便开发合适的回归模型。然后应用该模型以预测管拉伸后的偏心率。独立变量包括模具的倾斜角，机械性能，形成比和管的几何形状。为此，开发了一种铜管的回归模型，并验证了针对各类材料寻找全球回归模型的不同材料。在一个独立变量的情况下，多元回归模型比简单的回归模型更准确。本研究中发达回归模型的主要优点在于提高由内联测量自调节倾斜模具机进行的管拉伸过程的性能。结果表明，通过施加这种可调动态系统，在一个工艺步骤中可以提高管拉伸后的偏心率。

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