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Spectroscopic Studies and Mathematical Modeling of Laser Material Interaction for Development of Intelligent Quality Monitoring System.

机译:激光材料相互作用的光谱学研究与数学建模研究智能质量监控系统的开发。

摘要

This research investigates the fundamental physics of laser processing of multi-coated materials, through spectroscopic studies and a mathematical modeling of laser material interaction. This work focuses particularly on developing an in-situ quality monitoring system by detecting defects generated in the processing, understanding the effect of coated materials on defects formation, and further characterizing differences between newly developed lasers in regard to energy transfer.First, several welding defects generated in CO2 laser processing of a multi-coated material are monitored using Optical Emission Spectroscopy (OES). Tracking the specific constituent behaviors that induce the defects is proposed as a novel way to monitor the process.Second, in order to obtain promising results in both defect detection and defect classification, a machine learning algorithm, a Support Vector Machine (SVM), is adopted for the spectral data analysis using the richness of the available data. The richness is a major benefit in the use of the optical emission spectroscopy because the spectrometer can resolve and distinguish each spectral line of the constituents of the target materials. Third, a numerical simulation study is presented to investigate the effect of the coating material for understanding the interfacial phenomena in the laser processing of the multi-coated material. These interfacial phenomena are important because they determine the processed qualities of the target samples in the laser material interaction. The interfacial phenomena such as recoil pressure, capillary and thermo capillary force are investigated by comparing a coating free material with a coated material. Finally, characteristics of the energy transfer of the disk laser and the fiber laser are identified to provide users with insight into which laser might be more suitable for a given application. To assess the laser systems, two factors are considered: energy absorption by the laser induced plasma, which is an inevitable phenomenon in laser material interactions, and the penetration features of the samples irradiated by the attenuated laser beam after absorption by the plasma. The work presented in this study can be utilized to achieve the quality assurance, to understand energy transfer in the laser material processing, and thus eventually to control the process.
机译:这项研究通过光谱研究和激光材料相互作用的数学模型,研究了多层涂层材料激光加工的基本物理原理。这项工作特别致力于通过检测加工中产生的缺陷,了解涂层材料对缺陷形成的影响以及进一步表征新开发的激光器之间在能量传递方面的差异来开发现场质量监控系统。使用光发射光谱法(OES)监控多涂层材料在CO2激光加工过程中产生的二氧化碳。提出了一种跟踪导致缺陷的具体行为的方法,作为一种监测过程的新方法。其次,为了在缺陷检测和缺陷分类中获得令人满意的结果,提出了一种机器学习算法,即支持向量机(SVM)。利用现有数据的丰富性进行光谱数据分析。丰富度是使用光发射光谱学的主要好处,因为光谱仪可以分辨和区分目标材料成分的每条谱线。第三,进行了数值模拟研究,以研究涂层材料对理解多层涂层材料的激光加工中的界面现象的影响。这些界面现象很重要,因为它们决定了激光材料相互作用中目标样品的加工质量。通过比较无涂层材料和涂层材料,研究了诸如反冲压力,毛细作用和热毛细作用力等界面现象。最后,确定了磁盘激光器和光纤激光器的能量传输特性,以使用户了解哪种激光器可能更适合给定的应用。为了评估激光系统,需要考虑两个因素:激光诱导的等离子体吸收能量(这是激光材料相互作用中的一种不可避免的现象),以及被等离子体吸收后被衰减的激光束照射的样品的穿透特性。这项研究中提出的工作可用于实现质量保证,了解激光材料加工中的能量转移,从而最终控制过程。

著录项

  • 作者

    Lee Seung Hwan;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 en_US
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