Numerical and experimental investigations for distortion-reduced laser heat treatment of aluminum
Numerical and experimental investigations for distortion-reduced laser heat treatment of aluminum
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DOI：
10.1007/s11740-021-01029-3
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
N. Rigas;M. Merklein
中科院分区：
文献类型：
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作者：
N. Rigas;M. Merklein
在移动领域，安全和排放要求的提高导致对所用材料及其性能的要求稳步上升。在过去的几十年里，5000和6000系列铝合金由于其有益的重量强度比而成为越来越有吸引力的轻质材料。7000系列由于其高强度而具有更大的轻量化潜力。到目前为止，这类合金由于其有限的耐腐蚀性和较差的成形行为而没有广泛用于大规模生产。通过使用所谓的Tailor热处理坯料，可以提高先前局部热处理部件的成形极限。提高可成形性的原因是局部软化，从而改善材料流动并降低成形操作之前金属板的临界成形应力。尽管有这些优点，但到目前为止，以前热处理过的材料的使用非常有限。例如，局部热处理过程中发生的变形降低了几何精度，从而降低了自动化处理。因此，本论文的重点是量身定制的热处理策略的调查，允许变形减少的局部短期热处理。为此目的，失真行为表示和量化的数值和实验。然后将生成的知识转移到大容量组件并进行表征。
In the field of mobility, increased safety and emission requirements lead to steadily rising demands on materials used and their performance. Over the last decades, 5000 and 6000 series aluminum alloys have become more and more attractive as lightweight material due to their beneficial weight to strength ratio. The 7000 series offers extended lightweight potential due to its high strength. Until now, this class of alloys has not been widely used in mass production due to its limited corrosion resistance and poor forming behavior. By using so-called Tailor Heat Treated Blanks, it is possible to set increased forming limits of previously locally heat treated components. The reason for the enhanced formability is the local softening, with the resulting improved material flow and the reduced critical forming stresses of the sheet metal before the forming operation. Despite these advantages, the use of previously heat treated materials has been very limited so far. For example, the distortion that occurs during local heat treatment reduces geometrical accuracy and thus automated handling. Therefore, the focus of this thesis is the investigation of tailored heat treatment strategies, permitting a distortion-reduced local short-term heat treatment. For this purpose, the distortion behavior is represented and quantified both numerically and experimentally. The generated knowledge is then transferred to a large volume component and characterized.