Tracking and controlling the morphology evolution of 3D powder-bed fusion in situ using inline coherent imaging

Fleming, Tristan G.; Nestor, Stephen G. L.; Allen, Troy R.; Boukhaled, Mark A.; Smith, Nathan J.; Fraser, James M.

doi:10.1016/j.addma.2019.100978

Cited by 32 publications

(22 citation statements)

References 35 publications

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“…Closed loop control to keep immediate disturbances out of the process and acting between the sensory and the laser power is the mostly applied technology as for example demonstrated in [10]. Flaws within a layer and origins of faults that develop over several layers shall be detected layer wise and a correction strategy needs to be setup in a rule based manner and by application of machine learning [11]. Image recognition technologies based on pretrained neural networks, which are already available and only need tuned to the faults to be recognized are a promising technology here.…”

Section: Artificial Operatormentioning

confidence: 99%

Operator Integrated – Concept for Manufacturing Intelligence

Wegener¹,

Weikert²,

Mayr³

et al. 2021

Journal of Machine Engineering

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Increasing autonomy and sustainability are major goals in manufacturing. Main technological trends provide enablers for achieving these goals and need to be implemented and combined in manufacturing machinery in a suitable manner. The paper exposes a vision of modern manufacturing machines, where the complexity of manufacturing processes is handled within the manufacturing machine and a simplistic front end is presented to the operator, which means that major elements of operators' tasks are fulfilled by the intelligence of the machine. Research vectors paving the ground for this concept from different points of view are then discussed. Research is presented on intelligent grinding, intelligent recognition and suppression of chatter, adaptive thermal and motion error compensation exploting also self-learning abilities. It is necessary to point out, that not only intelligent mastering of process and machine becomes more and more important but communications among machine tools enabling process chain overarching intelligent approaches and creating intelligent factories.

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Section: Artificial Operatormentioning

confidence: 99%

Operator Integrated – Concept for Manufacturing Intelligence

Wegener¹,

Weikert²,

Mayr³

et al. 2021

Journal of Machine Engineering

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show abstract

“…The facts above mean the optimisation problem is exceptionally challenging and becomes more complex as the complexity of the designed part increases. There are extensive research efforts over the world in the last two decades in modelling and control of AM processes [5], [8], and [11]. The investigations emphasise the importance of control systems to enhance product quality.…”

Section: Introductionmentioning

confidence: 99%

Control of selective laser melting processes: existing efforts, challenges, and future opportunities

Al-Saadi

Rossiter

Panoutsos

2021

2021 29th Mediterranean Conference on Control and Automation (MED)

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“…Several monitoring approaches, based on the melt pool process radiation or with a secondary illumination source, have been developed to measure its length, width and height. [4][5][6][7][8][9][10][11][12][13][14][15] Nonetheless, the final track morphology is influenced by volumetric forces as well as capillary forces applied to the melt pool. So, the melt pool surface shape is of primary interest in order to monitor the melt pool stability.…”

Section: Introductionmentioning

confidence: 99%

In-situ laser beam melting investigation with multi-wavelength digital holography

Piniard

Sorrente

Hug

et al. 2021

Optical Measurement Systems for Industrial Inspection XII

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Over the past two decades, laser beam melting has emerged as the leading metal additive manufacturing process to produce small and medium-sized structures. Due to the complex physical phenomena involved in the lasermaterial interaction, instabilities in the melt pool morphology affect the final quality of the structure and remain difficult to predict by simulation. Several monitoring approaches, based on the radiation of the melt process or on a secondary illumination source, have been developed to measure its length, width and height. Nevertheless, the final morphology of the part is influenced by the volumetric forces as well as by the capillary forces applied to the melt. Thus, the shape of the melt surface is of primary interest to control the stability of the melt. Due to its intrinsic heterogeneity, its motion on the powder bed and its own dynamics, the measurement of the melt pool surface shape requires a full-field "one-shot" acquisition with a short exposure time of a few microseconds. In this paper, we propose multi-wavelength digital holography for the in-situ investigation of the melt pool.

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Tracking and controlling the morphology evolution of 3D powder-bed fusion in situ using inline coherent imaging

Cited by 32 publications

References 35 publications

Operator Integrated – Concept for Manufacturing Intelligence

Operator Integrated – Concept for Manufacturing Intelligence

Control of selective laser melting processes: existing efforts, challenges, and future opportunities

In-situ laser beam melting investigation with multi-wavelength digital holography

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