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ANN Laser Hardening Quality Modeling Using Geometrical and Punctual Characterizing Approaches

机译:基于几何和准时表征方法的ANN激光淬火质量建模

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Maximum hardness and hardened depth are the responses of interest in relation to the laser hardening process. These values define heat treatment quality and have a direct impact on mechanical performance. This paper aims to develop models capable of predicting the shape of the hardness profile depending on laser process parameters for controlling laser hardening quality (LHQ), or rather the response values. An experimental study was conducted to highlight hardened profile sensitivity to process input parameters such as laser power ( P L ), beam scanning speed ( V S ) and initial hardness in the core ( H C ). LHQ modeling was conducted by modeling attributes extracted from the hardness profile curve using two effective techniques based on the punctual and geometrical approaches. The process parameters with the most influence on the responses were laser power, beam scanning speed and initial hardness in the core. The obtained results demonstrate that the geometrical approach is more accurate and credible than the punctual approach according to performance assessment criteria.
机译:最大硬度和硬化深度是与激光硬化过程相关的感兴趣的响应。这些值定义了热处理质量,并直接影响机械性能。本文旨在开发能够根据用于控制激光硬化质量(LHQ)或响应值的激光加工参数来预测硬度分布曲线形状的模型。进行了一项实验研究,以突出硬化轮廓对工艺输入参数的敏感度,例如激光功率(P L),光束扫描速度(V S)和纤芯的初始硬度(H C)。 LHQ建模是通过使用两种基于点和几何方法的有效技术对从硬度轮廓曲线提取的属性进行建模来进行的。对响应影响最大的工艺参数是激光功率,光束扫描速度和纤芯的初始硬度。获得的结果表明,根据性能评估标准,几何方法比准时方法更准确,更可靠。

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