Evaluation of dynamic beam shaping approaches for the optimization of laser beam cutting of thick-section stainless steel sheets with high-brilliant laser sources

提出的研究项目主要是利用高动态光束成形方法对厚度大于8 mm的钢板进行厚截面融合切割的优化。预期的分析严格基于实验设计(DOE)方法。作为预期工作的结果，人们有望从根本上理解常见的静态切割参数、梁振动方法的动态控制变量以及包括切割效率、切缝几何形状和切边粗糙度在内的有趣响应之间的复杂和非线性依赖关系(已被初步实验研究证明)。实验研究的重点是使用最新的固体激光光源，这些光源目前显示出与成熟的CO2激光器相比，厚壁切割应用在可实现的生产质量方面存在一些不足，因此提供了很大的工艺改进潜力。这些实验将使用最新的高性能扫描设备进行，以扩大振荡频率高达4千赫的参数范围，这在初步调查中是无法寻址的。描述控制变量(因素)、相互作用和响应之间的函数依赖关系的回归模型将作为应用DOE方法的结果而被开发，这些方法将被用于在可变条件下为过程优化找到最合适的参数星座。

The proposed research project primarily aims at the optimization of thick-section fusion cutting of steel sheets with thicknesses greater than 8 mm by use of high-dynamic beam shaping methods. The intended analysis is strictly based on methods of the design-of-experiments (DoE) approach. Fundamental understanding of the complex and non-linear dependencies (as proven by a preliminary experimental study) between common static cutting parameters, dynamic control variables of the beam oscillation approach as well as the interesting responses including cutting efficiency, cut kerf geometry and cut edge roughness is expected as a result of the intended work. The experimental investigations are focused on the use of recent solid-state laser sources that currently show some deficiencies for thick-section cutting applications with respect to achievable production qualities in comparison to that of the well-established CO2 lasers, and therefore offer a high potential for process improvements. The experiments will be performed by use of the latest high-performance scanning devices allowing for extended parameter ranges with oscillation frequencies up to 4 kHz that were not addressable in preliminary investigations. Regression models describing the functional dependencies between control variables (factors), interactions and responses will be developed as a result of the applied DoE methods that in turn will be used to find the most appropriate parameter constellations for process optimization under variable conditions.