Numerical Simulation of Particle Size Influence on the Sintering Behavior of 316L Stainless Steel Powders Fabricated by Binder Jet 3D Printing

Chen, Zhiping; Li, Fenglei; Chen, Weiping; Zhu, Daoben; Fu, Zhaohui

doi:10.1007/s11665-021-05709-0

Cited by 12 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the manufacturing elements used to fabricate the specimens in the current study differ in printer, powder size distribution (PSD), printing layer thickness and sintering cycle from those in the research by Sadeghi Borujeni et al Nevertheless, some of material parameters including apparent, bulk and shear viscosity, as well as grain size are mainly affected by temperature, initial grain size, relative density and diffusion coefficients and not dependent on the reported differences (Olevsky, 1998; Riedel and Blug, 2002; Zhang et al , 2021). Therefore, those material parameters are borrowed from Sadeghi Borujeni et al However, densification behavior depends directly on PSD (Mostafaei et al , 2019; Chen et al , 2021), printing layer thickness (Barthel et al , 2021) and sintering cycle (Mostafaei et al , 2016; Huber et al , 2021). Thus, using a cylindrical specimen manufactured by new manufacturing elements, the phenomenological model used for the calculation of sinter stress given in equation (1) is tuned through a dilatometry experiment.…”

Section: Methodsmentioning

confidence: 99%

“…(Olevsky, 1998;Riedel and Blug, 2002;Zhang et al, 2021). Therefore, those material parameters are borrowed from Sadeghi Borujeni et al However, densification behavior depends directly on PSD (Mostafaei et al, 2019;Chen et al, 2021), printing layer thickness (Barthel et al, 2021) and sintering cycle (Mostafaei et al, 2016;Huber et al, 2021). Thus, using a cylindrical specimen manufactured by new manufacturing elements, the phenomenological model used for the calculation of sinter stress given in equation ( 1) is tuned through a dilatometry experiment.…”

Section: Definitionsmentioning

confidence: 99%

See 1 more Smart Citation

Compensation of sintering deformation for components manufactured by metal binder jetting using numerical simulations

Borujeni

Saluja²,

Ploshikhin³

2022

RPJ

View full text Add to dashboard Cite

Purpose This study aims at compensating for sintering deformation of components manufactured by metal binder jetting (MBJ) technology. Design/methodology/approach In the present research, numerical simulations are used to predict sintering deformation. Subsequently, an algorithm is developed to counteract the deformations, and the compensated deformations are morphed into a CAD model for printing. Several test cases are designed, compensated and manufactured to evaluate the accuracy of the compensation calculations. A consistent accuracy measurement method is developed for both green and sintered parts. The final sintered parts are compared with the desired final shape, and the accuracy of the model is discussed. Furthermore, the effect of initial assumptions in the calculations, including green part densities, and green part dimensions on the final dimensional accuracy are studied. Findings The proposed computational framework can compensate for the sintering deformations with acceptable accuracy, especially in the directions, for which the used material model has been calibrated. The precise assumption of green part density values is important for the accuracy of compensation calculations. For achieving tighter dimensional accuracy, green part dimensions should be incorporated into the computational framework. Originality/value Several studies have already predicted sintering deformations using numerical methods for MBJ parts. However, very little research has been dedicated to the compensation of sintering deformations with numerical simulations, and to the best of the best of the authors' knowledge, no previous work has studied the effect of green part properties on dimensional accuracy of compensation calculations. This paper introduces a method to omit or minimize the trial-and-error experiments and leads to the manufacturing of dimensionally accurate geometries.

show abstract