Using Coaxial Melt Pool Monitoring Images to Estimate Cooling Rate for Powder Bed Fusion Additive Manufacturing

Zhuo Yang, B. Lane, Yan Lu, H. Yeung, Jaehyuk Kim, Yande Ndiaye, S. Krishnamurty
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引用次数: 0

Abstract

Cooling rate is a decisive index to characterize melt pool solidification and determine local microstructure formation in metal powder bed fusion processes. Traditional methods to estimate the cooling rate include in-situ temperature measurement and thermal simulation. However, these methods may not be accurate or efficient enough under complex conditions in real-time. This paper proposes a method to approximate the melt pool cooling rate using temperature profile acquired via thermally-calibrated melt pool camera, and based on continuous pixel tracking result. The proposed method can estimate the temperature and associated cooling rate for every pixel immediately, which is potentially applicable for real-time process monitoring. This paper focuses on investigating image data processing, method development, and cooling condition analysis. This work presents the preliminary result of the cooling rate estimation under different conditions such as position, layer number, and overhanging.
利用同轴熔池监测图像估计粉末床熔融增材制造的冷却速率
在金属粉末床熔合过程中,冷却速度是表征熔池凝固和决定局部组织形成的决定性指标。传统的估算冷却速率的方法包括原位测温和热模拟。然而,在复杂的实时条件下,这些方法可能不够准确或有效。本文提出了一种基于连续像素跟踪结果,利用热标定熔池相机获得的温度分布曲线近似熔池冷却速率的方法。该方法可以立即估计出每个像素点的温度和相关的冷却速率,具有应用于实时过程监控的潜力。本文重点研究了图像数据处理、方法开发和冷却条件分析。本文给出了不同位置、层数、悬垂等条件下冷却速率估算的初步结果。
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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