학술논문

Effect of printing strategies on the properties of product in selective Sorel cement activation
Document Type
JOURNAL
Source
Rapid Prototyping Journal, 2023, Vol. 29, Issue 11, pp. 82-97.
Subject
research-article
Research paper
cat-ENGG
Engineering
Industrial engineering
design & manufacturing
Powder bed 3D printing
Binder jetting
Selective cement activation
Printing strategies
Rate of voxel
Printing direction
Language
English
ISSN
1355-2546
Abstract
Purpose Particles bed binding by selective cement activation (SCA) method is a computer-aided manufacturing (CAM) technique used to produce cementitious elements. A computer-aided design file is sliced to generate G-codes before printing. This paper aims to study the effect of key input parameters for slicer software on the final properties of printed products. Design/methodology/approach The one factor at a time (OFAT) methodology is used to investigate the impact of selected parameters on the final properties of printed specimens, and the causes for the variations in outcomes of each variable are discussed. Findings Finer aggregates can generate a more compact layer, resulting in a denser product with higher strength. Fluid pressure is directly determined by voxel rate (rV); however, high pressures enable better fluid penetration control for fortified products; for extreme rVs, residual voids in the interfaces between successive layers and single-line primitives impair mechanical strength. It was understood that printhead movement along the orientation of the parts in the powder bed improved the mechanical properties. Originality/value The design of experiment (DOE) method assesses the influence of process parameters on various input printing variables at the same time. As the resources are limited, a fractional factorial plan is carried out on a subset of a full factorial design; hence, providing physical interpretation behind changes in each factor is difficult. OFAT aids in analyzing the effect of a change in one factor on output while all other parameters are kept constant. The results assist engineers in properly considering the influence of variable variations for future DOE designs.