A statistical approach for the characterization of Additive Manufacturing (AM) processes is presented in this paper. Design of Experiments (DOE) and ANalysis of VAriance (ANOVA), both based on Nested Effects Modeling (NEM) technique, are adopted to assess the effect of different laser exposure strategies on physical and mechanical properties of AlSi10Mg parts produced by Direct Metal Laser Sintering (DMLS). Due to the wide industrial interest in AM technologies in many different fields, it is extremely important to ensure high parts performances and productivity. For this aim, the present paper focuses on the evaluation of tensile properties of specimens built with different laser exposure strategies. Two optimal laser parameters settings, in terms of both process quality (part performances) and productivity (part build rate), are identified. © 2017 by the authors.
Tensile properties characterization of AlSi10Mg parts produced by direct metal laser sintering via nested effects modeling / Palumbo, Biagio; DEL RE, Francesco; Martorelli, Massimo; Lanzotti, Antonio; Corrado, Pasquale. - In: MATERIALS. - ISSN 1996-1944. - 10:2(2017). [10.3390/ma10020144]
Tensile properties characterization of AlSi10Mg parts produced by direct metal laser sintering via nested effects modeling
PALUMBO, BIAGIO;DEL RE, FRANCESCO;MARTORELLI, MASSIMO;LANZOTTI, ANTONIO;
2017
Abstract
A statistical approach for the characterization of Additive Manufacturing (AM) processes is presented in this paper. Design of Experiments (DOE) and ANalysis of VAriance (ANOVA), both based on Nested Effects Modeling (NEM) technique, are adopted to assess the effect of different laser exposure strategies on physical and mechanical properties of AlSi10Mg parts produced by Direct Metal Laser Sintering (DMLS). Due to the wide industrial interest in AM technologies in many different fields, it is extremely important to ensure high parts performances and productivity. For this aim, the present paper focuses on the evaluation of tensile properties of specimens built with different laser exposure strategies. Two optimal laser parameters settings, in terms of both process quality (part performances) and productivity (part build rate), are identified. © 2017 by the authors.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
