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Proceedings ArticleDOI

A brief survey of sensing for metal-based powder bed fusion additive manufacturing

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TLDR
The cause of common defects in powder bed additive manufacturing is reviewed, sensing and control methods which have recently been investigated are surveyed, and recently-developed strategies to monitor part quality during the build process are summarized.
Abstract
Purpose ± Powder bed fusion additive manufacturing (PB F AM) of metal components has attracted much attention, but the inability to quickly and easily ensure quality has limited its industrial use. Since the technology is currently being investigated for critical engineered components and is largely considered uns uitable for high volume production , traditional statistical quality control methods cannot be readily applied . An alternative strategy for quality control is to monitor the build in real time with a variety of sensing methods and, when possible, to correct any defects as they occur. This article reviews the cause of common defects in powder bed additive manufactur ing , briefly surveys process monitoring strategies in the literature, and summarizes recently -developed strategies to monitor part quality during the build process. Design/methodology/approach ± Factors that affect part quality in powder bed additive manuf acturing are categorized as those influenced by machine variables and those affected by other build attributes. Within each category, multiple process monitoring methods are presented. Findings ± A multitude of factors contribute to the overall quality of a part built using PB F AM . Rather than limiting processing to a pre -defined build recipe and assuming complete repeatability , part quality will be ensured by monitoring the process as it occurs and , when possible, altering the process conditions or build plan in real -time . Recent work shows promise in this area and brings us closer to the goal of wide -spread adoption of additive manufacturing technology. Originality/value - This work serves to introduce and define the possible sources of defects and errors in metal -based PB F AM, and surveys sensing and control methods which have recently been investigated to increase overall part quality . E mphasis has been placed on novel developments in the field and their contribution to the understanding of the add itive manufacturing process. Keywords ± additive manufacturing, sensing and control, process quality, defects Article Classification - General review

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Citations
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Book ChapterDOI

Using Steady-State Ultrasonic Direct-Part Measurements for Defect Detection in Additively Manufactured Metal Parts

TL;DR: In this paper, a non-destructive in situ quality control process that ensures part-to-part and build to-build repeatability for additive manufacturing applications is proposed, which is not financially sustainable for most additive manufacturing application due to the long build times and the expense of manufacturing parts specifically for destruction.
Journal ArticleDOI

In-situ Laser ultrasound-based Rayleigh Wave Process Monitoring of DED-AM Metals

TL;DR: In this article, a laser ultrasound system is integrated into a directed energy deposition additive manufacturing (DED-AM) chamber to use Rayleigh waves for process monitoring in a noncontact layer-by-layer mode.
Journal ArticleDOI

Effects of gas flow speed on bead geometry and optical emissions during laser powder bed fusion additive manufacturing

TL;DR: In this paper , the effect of shielding gas flow on vapor plume behavior and on final deposition quality was investigated using a filtered-photodiode-based sensor mounted on a commercial EOS M280 machine to observe plume emissions.
Patent

Additive manufacturing method and apparatus

TL;DR: In this article, a method of monitoring an additive manufacturing apparatus is proposed, which comprises receiving one or more sensor signals from the additive manufacturing equipment during a build of a workpiece, comparing the sensor signals to a corresponding acceptable process variation of a plurality of acceptable process variations and generating a log based upon the comparisons.
References
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Journal ArticleDOI

In-situ Quality Control of the Selective Laser Melting Process using a High Speed, Real-Time Melt Pool Monitoring System

TL;DR: In this article, the authors discuss the principle and relevance of an in situ monitoring system for selective laser melting (SLM) which enables the operator to monitor the quality of the SLM job on-line and estimate the part accordingly.
Journal ArticleDOI

Monitoring and Adaptive Control of Laser Processes

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Online Quality Control of Selective Laser Melting

TL;DR: The development of a framework for online quality control of Selective Laser Melting is the subject of this paper and consists of two complementary systems: a system for visual inspection of powder deposition and aSystem for online and real-time monitoring of the melt pool.
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TL;DR: High-power laser and their material processing applications can be classified into three main classes: laser-assisted micro-fabrication, laser assisted welding, and laser-induced periodic surface structures as mentioned in this paper.
Proceedings ArticleDOI

Porosity of additive manufacturing parts for process monitoring

TL;DR: In this article, an ultrasonic sensor was developed for detecting changes in porosity in metal parts during fabrication on a metal powder bed fusion system, for use as a process monitor.
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