Emissivity Prediction for an IR Camera During Laser Welding of Aluminum

Pub Date : 2022-12-01 DOI:10.5541/ijot.1129559
A. Metallo
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引用次数: 1

Abstract

Laser processing is becoming increasingly important in industrial applications. The success of the process relies on two fundamental parameters: the surface temperature of the medium and the thickness of the hardened layer. One of the most important factors during a laser process is certainly the temperature, which presents high temperature gradients. The speed at which a material undergoes a phase transition, the chemical reactions that take place during processing and the properties of the material are all dependent on temperature changes. Consequently, the measure of temperature is a demanding undertaking. This study proposes to measure temperature for the duration of laser welding with the infrared camera (IR) Optris PI. To restore the real temperature based on the brightness temperature values measured by the IR camera is needed to evaluate the emissivity to be attributed to the IR camera. For this purpose, firstly, the isotherms consistent with the melting point of aluminum (785 K) were assessed and then compared with the temperature distribution gauged in the zone of irradiation of the laser. Such data were then compared with the thickness of the melted zone. The use of the melting point isotherm allowed the calculation of the value of emissivity and the restoration of the temperature. Thermography software data acquisition wrongly presupposes the emissivity value does not change. This generates incorrect thermographic data. The surface emissivity normally hinges on temperature. Therefore, the values on which the literature relies may not work for materials of interest in the conditions of the process. This is particularly the case, where welding is carried out in keyhole mode (Tmax = Tvap). However, the physical phenomena involved, including evaporation and plasma plume formation, high spatial and temporal temperature gradients, and non-equilibrium phase transformations, influence the optical conditions of the brightness of the emission of light from the molten pool, making, De Facto, the emissivity value not constant. Thus, what we propose here is a methodological procedure that allows the measurement of the effective emissivity of the surface, at the same time taking into consideration the consequence of physical phenomena and the conditions of the surface. Two procedures (Standard and Simplified) capable of providing the correct emissivity value in relation to the working parameters have been proposed. The results showed that the procedures are correct, fast, and easy to use.
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铝激光焊接红外相机发射率预测
激光加工在工业应用中越来越重要。该工艺的成功取决于两个基本参数:介质的表面温度和硬化层的厚度。激光加工过程中最重要的因素之一当然是温度,它呈现出高的温度梯度。材料发生相变的速度、加工过程中发生的化学反应以及材料的性质都取决于温度变化。因此,测量温度是一项艰巨的任务。本研究提出用红外相机Optris PI测量激光焊接过程中的温度。为了基于红外相机测量的亮度温度值恢复真实温度,需要评估归属于红外相机的发射率。为此,首先评估与铝熔点(785K)一致的等温线,然后将其与在激光照射区域中测量的温度分布进行比较。然后将这些数据与熔化区的厚度进行比较。熔点等温线的使用允许计算发射率值和恢复温度。热成像软件数据采集错误地假定发射率值不变。这会产生不正确的热成像数据。表面发射率通常取决于温度。因此,文献所依赖的价值观可能不适用于在过程条件下感兴趣的材料。这尤其是在锁孔模式(Tmax=Tvap)下进行焊接的情况。然而,所涉及的物理现象,包括蒸发和等离子体羽流的形成、高的空间和时间温度梯度以及非平衡相变,会影响熔池发光亮度的光学条件,从而使发射率值不恒定。因此,我们在这里提出的是一种方法学程序,该程序允许测量表面的有效发射率,同时考虑物理现象和表面条件的后果。提出了两种能够提供与工作参数相关的正确发射率值的程序(标准程序和简化程序)。结果表明,该程序正确、快速、易用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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