SLA 3b yazıcı ile nanokompozıt üretiminin optimizasyonu

3D printing is a revolutionary technology that has transformed the manufacturing industry. It is a process of creating three-dimensional objects from a CAD model or a digital 3D model using additive manufacturing technology. The surface roughness and hardness test of the parts produced using the 3D printer is one of the most important factors that greatly affect the quality of the product. The major target of this research is to find optimal values of input parameters in 3D SLA printer to minimize the surface roughness and maximize the hardness of the object using methods of experiment design such as Box-Behnken and Taguchi Method which is done with three independent parameters with three levels. The parameters are cure time, printing speed, and the weight ratio of nanoparticle mixed with the standard resin. The purpose of mixing nano clay nanoparticles with resin to improve the mechanical property of a 3D printed object is important to used in many applications. Based on the results of Response Surface Method (RSM), the optimal input parameters to obtain minimum roughness are cure time 3 s, platform speed 50 mm/s and the nanoparticle ratio %1 and the optimal input parameters to obtain maximum hardness are cure time 5 s, platform speed 100 mm/s and the nanoparticle ratio %1. In addition, the grey relation analysis for two response surface is used to find the optimal experiment conditions. It was found that the experiment 2 has the highest value of grey relational grade. The parameters of experiment number 2 is cure time is 5 s, platform speed 100 mm/s, added nanoparticle ratio % 1.