Development of actual powder layer height depending on nominal layer thicknesses and selection of laser parameters

Jansen, Deniz; Hanemann, Theresa; Radek, Markus; Rota, Astrid; Schröpfer, Jörg; Heilmaier, Martin

doi:10.1016/j.jmatprotec.2021.117305

Cited by 18 publications

(3 citation statements)

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“…While uncertainty analysis methods can be applied, there are some parameters that have been evaluated in detail. For example, it is well known that the effective layer thickness changes during printing and reaches a steady state [121][122][123] , different from its nominal (user-set) powder thickness. Such a phenomenon occurs due to the powder packing density and material consolidation during each deposition [123] .…”

Section: Optimal Processing Windowmentioning

confidence: 99%

“…For example, it is well known that the effective layer thickness changes during printing and reaches a steady state [121][122][123] , different from its nominal (user-set) powder thickness. Such a phenomenon occurs due to the powder packing density and material consolidation during each deposition [123] . Hence, processing windows should ideally take into account such effects for optimization, as suggested and demonstrated by Ahn et al [124] .…”

Section: Optimal Processing Windowmentioning

confidence: 99%

See 1 more Smart Citation

Process parameter optimization of metal additive manufacturing: a review and outlook

Chia¹,

Wu²,

Wang³

et al. 2022

J Mater Inf

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The selection of appropriate process parameters is crucial in metal additive manufacturing (AM) as it directly influences the defect formation and microstructure of the printed part. Over the past decade, research efforts have been devoted to identifying "optimal" processing regimes for different materials to achieve defect-free manufacturing, which mostly involve costly trial-and-error experiments and computationally expensive mechanistic simulations. Hence, it is apropos to critically review the methods used to achieve the optimal process parameters in AM. This work seeks to provide a structured analysis of current methodologies and discuss systematic approaches toward general optimization work in AM and the process parameter optimization of new AM alloys. A brief review of process-induced defects due to process parameter selection is given and the current methods for identifying "optimal processing windows" are summarized. Research works are analyzed under a standard optimization framework, including the design of experiments and characterization, modelling and optimization algorithms. The research gaps that preclude multi-objective optimization in AM are identified and future directions toward optimization work in AM are discussed. With growing capabilities in AM, we should reconsider what the definition of the "optimal processing region".

show abstract

Section: Optimal Processing Windowmentioning

confidence: 99%

Section: Optimal Processing Windowmentioning

confidence: 99%

Process parameter optimization of metal additive manufacturing: a review and outlook

Chia¹,

Wu²,

Wang³

et al. 2022

J Mater Inf

View full text Add to dashboard Cite

show abstract

“…From the theoretical point of view, the evolution of effective layer thickness 𝐸𝐿𝑇 was never analyzed in PBF-LB/P, but other authors did that in PBF of metals [11,20,21].…”

Section: Effective Layer Thickness Evaluationmentioning

confidence: 99%