Optimization of LB-PBF process parameters to achieve best relative density and surface roughness for Ti6Al4V samples: using NSGA-II algorithm

Purpose This paper aims to study multiobjective genetic algorithm ability in determining the process parameter and postprocess condition that leads to maximum relative density (RD) and minimum surface roughness (Ra) simultaneously in the case of a Ti6Al4V sample process by laser beam powder bed fusi...

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Veröffentlicht in:	Rapid prototyping journal 2022-10, Vol.28 (9), p.1821-1833
Hauptverfasser:	Panahizadeh, Valiollah, Ghasemi, Amir Hossein, Dadgar Asl, Yaghoub, Davoudi, Mohammadmahdi
Format:	Artikel
Sprache:	eng
Schlagworte:	Density Design of experiments Genetic algorithms Heat treating Heat treatment Laser beams Lasers Manufacturing Mechanical properties Optimization Phase transitions Powder beds Process parameters R&D Rapid prototyping Research & development Sorting algorithms Specific gravity Surface roughness Titanium alloys Titanium base alloys Value analysis
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