2019
DOI: 10.1007/s40516-019-00099-7
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Modeling and Optimization of Process Parameters for Laser Powder Bed Fusion of AlSi10Mg Alloy

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Cited by 19 publications
(6 citation statements)
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“…Different aspects of LPBF AlSi10Mg alloys have been previously discussed, which includes its process optimisation [13,14], mechanical behaviour [10,[15][16][17] and corrosion performance after heat treatment [9,11,18]. At present, the exploration work of LPBF AlSi10Mg alloy in terms of heat treatment is still mainly focused on traditional heat treatment, such as stress relief annealing and T6 heat treatment (solid solution and subsequent artificial aging) [2,10,15,17,[19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Different aspects of LPBF AlSi10Mg alloys have been previously discussed, which includes its process optimisation [13,14], mechanical behaviour [10,[15][16][17] and corrosion performance after heat treatment [9,11,18]. At present, the exploration work of LPBF AlSi10Mg alloy in terms of heat treatment is still mainly focused on traditional heat treatment, such as stress relief annealing and T6 heat treatment (solid solution and subsequent artificial aging) [2,10,15,17,[19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…One thing should be noted is that these parameters were chosen on the basis of our previous study which had proved to have a significant impact on inner structure quality. An optimal process parameter combination was obtained to improve circle-shape and square-shape overhanging surface quality respectively using multi-objective genetic algorithm [21][22][23]. The different formation mechanism of square-shape and circle-shape inner structure was firstly discussed to explain the phenomenon we have gained from the experiment section as far as we know.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, a body of literature has attempted to overcome the challenge to rapidly identify the adequate parameters by combining simulations and experiments to obtain reliable data that can help optimise the production process [ 67 , 68 , 69 , 70 ]. Among others, Letenneur et al [ 69 ] evaluated the melt pool dimensions through an analytical model of a thermal field.…”
Section: Pre-processingmentioning
confidence: 99%