In situ morphology-based defect detection of selective laser melting through inline coherent imaging

被引:149
作者
Kanko, Jordan A. [1 ]
Sibley, Allison P. [1 ]
Fraser, James M. [1 ]
机构
[1] Queens Univ, Dept Phys Engn Phys & Astron, Kingston, ON K7L 3N6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Process monitoring; Selective laser melting; Melt pool morphology; Inline coherent imaging; Additive manufacturing; Powder bed fusion; OPTICAL-SYSTEM; POWDER; PRINCIPLES; BEHAVIOR; DESIGN; STEEL;
D O I
10.1016/j.jmatprotec.2015.12.024
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Additive manufacturing techniques such as selective laser melting offer unique capabilities in the manufacture of geometrically-complex metal components, but online quality assurance and process control still remain major challenges. In this paper, a low-coherence interferometric imaging technique, termed inline coherent imaging (ICI), is coaxially integrated into the selective laser melting process to monitor melt pool morphology changes and stability at 200 kHz. Single track processing and online monitoring of 316 L stainless steel powder were carried out under a range of process parameters: 40-320W laser powers; 50-600 mm/s scan speeds; 50-500 mu m layer thicknesses; and in supported and unsupported local build environments. Galvanometer-based scanning of the imaging spot relative to the melt pool allowed capture of the geometrical profile of the melt pool and environment undetectable by existing thermal-based imaging systems. Exploiting the high-speed imaging rate, time-resolved ICI measurements demonstrate that melt pool fluctuations strongly influence final track quality. Process defects resulting from poor parameter regimes are detected and characteristic fault signatures are identified. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:488 / 500
页数:13
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