多视场光场相机在LPBF制造过程中的高动态范围成像

IF 5 2区 物理与天体物理 Q1 OPTICS
Xiuhua Li , Hui Li , Shengnan Shen , Wei Xiong
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引用次数: 0

摘要

激光粉末床熔融(LPBF)增材制造(AM)过程受高功率激光的极端温度变化影响,呈现出显著的亮度差异,传统成像方法难以捕捉到LPBF制造过程的细节,这给AM过程的监控和优化带来了挑战。本文提出了一种基于光场的高动态范围成像(LFHDRI)新方法。采用光场(LF)拜耳模型从红色(R)、绿色(G)和蓝色(B)通道中提取图像。LPBF过程中对R通道图像进行k-means聚类处理,分割出低光和高光区域,然后与B通道和G通道融合,重建出高动态范围(high dynamic range, HDR)图像。使用钢尺验证了LFHDRI方法的有效性,结果表明,基于空间光谱熵的质量(SSEQ)降低了约50%,而特征像素点增加了两倍以上。在零件、粉末层、溅射和熔池等LPBF制造过程中进行的对比实验表明,SSEQ指标和自然图像质量评价指标(NIQE)应用于LFHDRI获得的HDR图像都证实了其有效性。在LPBF制作过程中,在HDR图像上有效提取了更多的特征,表明LFHDRI有效增强了图像细节。提出的LFHDRI方法解决了LPBF制造过程中亮度剧烈波动导致图像质量下降的问题,从而提高了表面缺陷监测的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High dynamic range imaging of LPBF manufacturing process by multi-view light field camera
The laser powder bed fusion (LPBF) additive manufacturing (AM) process, subjected to extreme temperature variations from the high-power laser, exhibits significant brightness differences that traditional imaging methods struggle to capture details of LPBF manufacturing process, leading to challenges in monitoring and optimizing the AM process. This paper develops a novel method of light-field-based high dynamic range imaging (LFHDRI) for LPBF manufacturing process. A light field (LF) Bayer model is applied to extract images from the red (R), green (G), and blue (B) channels. The R channel image during LPBF process is processed using k-means clustering to segment low-light and high-light regions, which are then fused with the B and G channels to reconstruct the high dynamic range (HDR) image. The effectiveness of the LFHDRI method is validated using a steel ruler, with results showing a reduction of the spatial-spectral entropy-based quality (SSEQ) by approximately 50 %, while feature pixel points increase by more than twofold. Comparative experiment on LPBF manufacturing processes, including parts, powder layers, sputter, and melt pools indicates that both the metrics of the SSEQ and the natural image quality evaluator (NIQE) applied to the HDR images obtained by LFHDRI confirm its effectiveness. More features are effectively extracted on the HDR images during LPBF manufacturing process, indicating that image details are effectively enhanced by the LFHDRI. The proposed LFHDRI method addresses the issue of image quality degradation caused by the extreme brightness fluctuations in the LPBF manufacturing process, thereby improving the accuracy of surface defect monitoring.
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来源期刊
CiteScore
8.50
自引率
10.00%
发文量
1060
审稿时长
3.4 months
期刊介绍: Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication. The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas: •development in all types of lasers •developments in optoelectronic devices and photonics •developments in new photonics and optical concepts •developments in conventional optics, optical instruments and components •techniques of optical metrology, including interferometry and optical fibre sensors •LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow •applications of lasers to materials processing, optical NDT display (including holography) and optical communication •research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume) •developments in optical computing and optical information processing •developments in new optical materials •developments in new optical characterization methods and techniques •developments in quantum optics •developments in light assisted micro and nanofabrication methods and techniques •developments in nanophotonics and biophotonics •developments in imaging processing and systems
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