This study evaluated Fused Deposition Modeling (FDM) for printing objects with maximum compression strength by focusing on critical process parameters. Infill density, outer shell width, infill pattern, and layer thickness were examined. Taguchi studies tested all parameter values with the fewest possible tests. Infill density 75% affected compressive resistance the most, followed by outer shell width (1.8 mm), infill pattern (75%), infill pattern type (concentric), nozzle diameter (0.6 mm), and layer thickness (0.3 mm) maximium compression strengh (55.488 MPa) and the liner regression model which use to prediction experimental value shown minimum percentage error (4%). The study also demonstrated the fabrication of 3D-printed crowns using polylactic acid (PLA) polymer and FDM printing as temporary crowns, which remained intact without any discomfort until the permanent prosthesis was ready. The average printing time for temporary crowns was approximately 7 minutes. This study indicates that 3D printing of temporary crowns with PLA using FDM printing is a convenient process for dentists the result for crowns for teeth 13 and 16 of the human case study showed good accuracy and good resistance to compression.

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Shell thickness and infill density are key parameters for determining mechanical stability of a printed part when subjected to stress. This study aimed to establish models for predicting responses, specifically compressive strength, relative strength, and weight, and to analyze the interactive effects of both shell thickness and infill density on ABS prints, which were evaluated by conducting compression tests. For this purpose, the interactive effects of different shell thicknesses (0.4, 0.8, 1.2, 1.6, and 2.0 mm) and different infill densities (0%, 25%, 50%, 75%, and 100%) on the considered response variables, namely, compressive strength, relative strength, and material consumption of ABS prints were investigated. According to the results of the experiments, a specimen printed from ABS with a 75% infill density and a shell thickness of 2 mm has the highest relative compressive stress (1645 N/g). The evaluation of the effectiveness of the proposed prediction models was confirmed by comparing the measured data with the predicted data, which showed that the quadratic fit models presented in this study are suitable for all considered response variables. The model fits the data well, with a maximum error of 6.2%. By estimating the compressive strength, relative strength, and material consumption in relation to process parameters before manufacturing the FDM parts, the developed prediction models will assist practitioners in reducing the number of experimental works, resulting in material savings, reduced printing time, and reduced energy consumption.

Multipoint forming process is an engineering concept which means that the working surface of the punch and die is produced as hemispherical ends of individual active elements (called pins), where each pin can be independently, vertically displaced using a geometrically reconfigurable die. Several different products can be made without changing tools saved precious production time. Also, the manufacturing of very expensive rigid dies is reduced, and a lot of expenses are saved. But the most important aspects of using such types of equipment are the flexibility of the tooling. This paper presents an experimental investigation of the effect of three main parameters which are blank holder, rubber thickness and forming speed that affect the surface integrity for brass (Cu Zn 65-35) with 0.71 mm thickness. This paper focuses on the development of prediction models for estimation of the product quality. Using Analysis of Variance (ANOVA), surface roughness has been modeled. In the development of this predictive model, blank holder, rubber thickness and forming speed have been considered as model parameters. The mean surface roughness (Ra) is used as response parameter to predict the surface roughness of multipoint forming parts. The data required has been generated, compared and evaluated to the proposed models obtained from experiments. Taguchi algorithm was used to predict the forming parameters (blank holder, rubber thickness and forming speed) on product roughness in forming process of Brass (Cu Zn 65-35) based on orthogonal array of L9 and finally ANOVA was used to find the optimum parameters that have effect on the product quality.