Temperature measurements during selective laser sintering of titanium powder

Fischer, Pascal; Locher, Martin; Romano, Valerio; Weber, Hans‐Peter; Kolossov, Serguei; Glardon, Rémy

doi:10.1016/j.ijmachtools.2004.04.019

Cited by 79 publications

(46 citation statements)

References 5 publications

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“…Fischer et al [130] also compared the temperature measurements between continuous wave sintering and pulsed sintering by verifying the predicted difference of skin and average temperature upon pulsed interaction. It was discovered that the average laser power required to attain consolidation of the powder in pulsed sintering is 30% lower than that reported for continuous sintering.…”

Section: Effects Of Laser Types On the On The Processing And Densificmentioning

confidence: 99%

“…This was attributed to the potential for gas to escape during the delayed solidification time at high energy density (low scanning rates/high laser power) and at reduced depth of the scan track at low energy density (high scanning rates/low laser power). Pulsed laser systems may provide the possibility to control the laser energy dissipation into the powder bed/substrate and thereby control the solidified microstructure, porosity, and solidification cracking [130]. The stability of the scan track is greatly affected by the pulse because each pulse has to reopen the scan track after its breakdown.…”

Section: Porositymentioning

confidence: 99%

“…The stability of the scan track is greatly affected by the pulse because each pulse has to reopen the scan track after its breakdown. Process cavities can be reduced if the porosity formed in a previous pulse is effectively removed from the scan track formed by the next pulse when the overlapping ratio of two scan tracks is adequate [7,58,129,130,164]. Therefore, it is recommended to shorten the off-time of the pulse to less than the solidification time of the molten pool [7,58,129,130,164].…”

Section: Porositymentioning

confidence: 99%

“…This requires a high-duty cycle and high amount of overlap of the fusion zone during one pulse transition [7,58,129,130,164]. It is recommended the adoption of short pulse durations and low energies in the case of pulsed wave systems to keep the area melted as small as possible [7,58,129,130,164].…”

Section: Porositymentioning

confidence: 99%

See 3 more Smart Citations

A review on selective laser sintering/melting (SLS/SLM) of aluminium alloy powders: Processing, microstructure, and properties

Olakanmi

Mullis

Dalgarno

2015

Progress in Materials Science

1,429

526

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Section: Effects Of Laser Types On the On The Processing And Densificmentioning

confidence: 99%

Section: Porositymentioning

confidence: 99%

Section: Porositymentioning

confidence: 99%

Section: Porositymentioning

confidence: 99%

See 2 more Smart Citations

A review on selective laser sintering/melting (SLS/SLM) of aluminium alloy powders: Processing, microstructure, and properties

Olakanmi

Mullis

Dalgarno

2015

Progress in Materials Science

1,429

526

View full text Add to dashboard Cite

“…To compare with the previous work in literature, a selective laser sintering (SLS) process is investigated in reference [15] based on continuous media theory, where the maximum temperature value is compared between simulations and experiments with a relative prediction error percentage more than 5.00%. In reference [141], the maximum temperature during laser melting of metal powder is evaluated and the relative error of the FEA results from the experimental results [142] is 2.8%. It should be noted that the work in these references does not enable component-scale prediction, let alone the higher prediction error and higher computational cost as compared to the proposed framework.…”

Section: Prediction For Different Component Geometries Using Trainingmentioning

confidence: 99%

Integration of physically-based and data-driven approaches for thermal field prediction in additive manufacturing

Jin

2018

Materials & Design

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A quantitative understanding of thermal field evolution is vital for quality control in additive manufacturing (AM). Because of the unknown material parameters, high computational costs, and imperfect understanding of the underlying science, physically-based approaches alone are insufficient for component-scale thermal field prediction. Here, I present a new framework that integrates physically-based and data-driven approaches with quasi in situ thermal imaging to address this problem. The framework consists of (i) thermal modeling using 3D finite element analysis (FEA), (ii) surrogate modeling using functional Gaussian process, and (iii) Bayesian calibration using the thermal imaging data. Based on heat transfer laws, I first investigate the transient thermal behavior during AM using 3D FEA. A functional Gaussian process-based surrogate model is then constructed to reduce the computational costs from the high-fidelity, physically-based model. I finally employ a Bayesian calibration method, which incorporates the surrogate model and thermal measurements, to enable layer-to-layer thermal field prediction across the whole component. A case study on fused deposition modeling is conducted for components with 7 to 16 layers. The cross-validation results show that the proposed framework allows for accurate and fast thermal field prediction for components with different process settings and geometric designs. Integration of Physically-based and Data-driven Approaches for Thermal Field Prediction in Additive ManufacturingJingran Li GENERAL AUDIENCE ABSTRACT This paper aims to achieve the layer to layer temperature monitoring and consequently predict the temperature distribution for any new freeform geometry. An engineering statistical synergistic model is proposed to integrate the pure statistical methods and finite element modeling (FEM), which is physically meaningful as well as accurate for temperature prediction. Besides, this proposed synergistic model contains geometry information, which can be applied to any freeform geometry. This paper serves to enable a holistic cyber physical systems-based approach for the additive manufacturing (AM) not only restricted in fused deposition modeling (FDM) process but also can be extended to powder-based process like laser engineered net shaping (LENS) and selective laser sintering (SLS). This paper as well as the scheduled future works will make it affordable for customized AM including customized geometries and materials, which will greatly accelerate the transition from rapid prototyping to rapid manufacturing. This article demonstrates a first evaluation of engineering statistical synergistic model in AM technology, which gives a perspective on future researches about online quality monitoring and control of AM based data fusion principles. iv ACKNOWLEDGEMENTS

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Powder‐Based Additive Manufacturing: A Critical Review of Materials, Methods, Opportunities, and Challenges

Shanthar,

Chen,

Abeykoon

2023

Adv Eng Mater

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As a 0‐dimensional moulding material, powder particles can realise the construction of most engineering parts and can further improve the precision moulding and high‐performance manufacturing capabilities of additive manufacturing (AM). Therefore, the powder‐based additive manufacturing methods provide an outstanding practical value and development for modern manufacturing world. However, powder materials that are utilised in additive manufacturing continue to face challenges such as a lack of accessible categories, temperature restrictions, and poor performance of moulded components. Therefore, researching for new additive manufacturing materials and procedures has become one of the important and influential ways to accelerate the progress of additive manufacturing technology and also to expand its application fields. For this purpose, it is invaluable to understand and update on the current state‐of‐the‐art of powder‐based additive manufacturing technologies. Hence, this work first reviews the research background of powder‐based 3D printing in details while systematically expounding on the technologies and equipment, material types, influencing factors, existing problems and development trends of powder‐based 3D printing. In addition, the basic principles of powder‐based 3D printing were also revealed, and the formation and optimization of metal, polymer, and ceramic powders in powder‐based 3D printing equipment were explored. Throughout the last decade, powder‐based AM has gradually emerged in the fields of biomedical and aerospace, such as the construction of tissue scaffolds and the construction of aero‐engine parts, respectively. However, powder materials may have insufficient comprehensive performance due some limitations, as the control of mechanical characteristics and dimensional accuracy of powder moulded parts are still challenging during manufacturing processes. Therefore, exploring the mechanism/s of additive manufacturing of powder‐based materials, improving the mechanical properties of powder‐based AM products, and the possible directions for improving the usability of powder materials are the main focus of this paper.This article is protected by copyright. All rights reserved.

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Temperature measurements during selective laser sintering of titanium powder

Cited by 79 publications

References 5 publications

A review on selective laser sintering/melting (SLS/SLM) of aluminium alloy powders: Processing, microstructure, and properties

A review on selective laser sintering/melting (SLS/SLM) of aluminium alloy powders: Processing, microstructure, and properties

Integration of physically-based and data-driven approaches for thermal field prediction in additive manufacturing

Powder‐Based Additive Manufacturing: A Critical Review of Materials, Methods, Opportunities, and Challenges

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