Statistical and Experimental Analysis of Process Parameters of 3D Nylon Printed Parts by Fused Deposition Modeling: Response Surface Modeling and Optimization

In the current study, additive manufacturing of nylon by fused deposition modeling is conducted based on statistical analysis. Besides, aim this study influence process parameters, namely layer thickness (0.15 mm-0.35 mm), infill percentage (15-55%), and number contours (2-6) maximum failure load, parts weight, elongation at break, build time. The experiment approach was used to optimize parameters evaluates reach best objective function. minimum value time maximize load were considered as functions. response surface method regarded an optimization parameter, optimum conditions studied experimental research evaluate efficiency. Based results, significant primary variable for all responses. evaluation showed that values obtained changing from lowest highest. By reduction in same printing speed, cooling rate increases, which results greater strength less elongation. As a result, it could be concluded increasing contour layers 2 6, force increased 42%. Increasing due similar effect density, increases production time, also confirmed ANOVA.