Mechanical Property Prediction Method Based on Multi-material 3D Printer
The application area of additive manufacturing, especially 3D printing is increasing dramatically. A 3D printer can produce objects with complex shapes, and it shows promising results in manufacturing technology which can replace conventional production technology. Nevertheless, the technique of 3D printing has several limitations regarding material usage and process optimization. Because of that most of the researchers pay attention to the development and optimization of materials in 3D printing. This paper presents a new technique for mechanical property prediction of 3D printing materials. It also discusses the simulation method which can accurately predict stresses and deformations for the complex structures that are built of two or more materials with various mechanical properties.
This study concentrated on the production of molecularly imprinted polymers (MIPs) as highly selective sorbents for felodipine (FLD), a representive dihydropyridine calcium antagonists.Demonstrated chromatographically through a selection factor, these MIPs showed high selectivity for the template molecule among a group of structurally similar compounds. The recognition was found to correlate with structural similarity to the template compound.