Preform optimization for hot forging processes using an adaptive amount of flash based on the cross section shape complexity
Preform optimization for hot forging processes using an adaptive amount of flash based on the cross section shape complexity
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DOI：
10.1007/s11740-016-0702-7
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发表时间：
2016-10
期刊：
影响因子：
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通讯作者：
J. Knust;M. Stonis;B. Behrens
中科院分区：
文献类型：
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作者：
J. Knust;M. Stonis;B. Behrens
在多段热锻工艺中，预锻件形状是影响最终锻造效果的主要参数。然而，多阶段热锻工艺的设计仍然是一个反复试验的过程，因此耗时。开发的锻造序列的质量很大程度上取决于工程师的经验。为了克服这些障碍，本文提出了一种求解预成形设计中的多目标优化问题的算法。选择楔横轧预制件作为研究对象。提出了一种考虑终件质量分布、预成形体积和形状复杂度的预成形形状优化进化算法。热锻过程中坯体优化的一个关键因素是闪光量。由此导出了提高闪光量的公式。以两种形状复杂程度不同的连杆作为验证件，对所提出的算法进行了验证。
In multistage hot forging processes, the preform shape is the parameter mainly influencing the final forging result. Nevertheless, the design of multistage hot forging processes is still a trial and error process and therefore time consuming. The quality of developed forging sequences strongly depends on the engineer’s experience. To overcome these obstacles this paper presents an algorithm for solving the multi-objective optimization problem in designing preforms. Cross wedge rolled preforms were chosen as subject of investigation. An evolutionary algorithm is introduced to optimize the preform shape taking into account the mass distribution of the final part, the preform volume and the shape complexity. A crucial factor in preform optimization for hot forging processes is the amount of flash. Therefore an equation for improving the amount of flash is derived. The developed algorithm is tested using two connecting rods with different shape complexities as demonstration parts.