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Experimental Investigations and Automatic Numerical Optimization of a Bulk Metal Forming Process to Avoid Forging Folds

机译:实验研究和散装金属成形过程的自动数值优化,避免锻造折叠

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The detection of process failures in earlier design stages is essential for preventing high additional costs and a loss of time. Here, the finite element analysis (FEA) is an inherent part of the process design. This work represents numerical and experimental investigations, which were carried out in order to identify factors that influence the fold formation in an upsetting process of hollow parts, i.e. different forging velocities, different materials or the friction. The experimental results were compared with the numerical simulations. Based on these investigations, an automatic optimization model was created, which is the focus of this work. It allows varying and optimizing the experimentally determined process parameters, influencing the fold formation, automatically with the aim to produce a workpiece free of folds. For this purpose the commercial Software-System Forge (Transvalor) was used. The results of this work provide basic information for the development of complex processes. It can be shown that the automatic numerical optimization is an indispensable tool for the process design. It helps determining optimal process parameters individually and avoiding extensive trial and error investigations and hence a loss of time and costs.
机译:早期设计阶段的过程故障的检测对于防止高额额外成本和时间损失至关重要。这里,有限元分析(FEA)是过程设计的固有部分。该工作代表了数值和实验研究,以确定影响中空部分的镦粗过程中折叠形成的因素,即不同的锻炼速度,不同的材料或摩擦。将实验结果与数值模拟进行比较。根据这些调查,创建了自动优化模型,这是这项工作的重点。它允许改变和优化实验确定的工艺参数,影响折叠形成,自动旨在产生没有折叠的工件。为此目的,使用商业软件系统伪造(TransValor)。这项工作的结果为复杂流程的发展提供了基本信息。可以表明,自动数值优化是工艺设计的不可缺少的工具。它有助于单独确定最佳过程参数,避免广泛的试验和错误调查,从而损失时间和成本。

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