Multi-objective optimization of process parameters for biological 3D printing composite forming based on SNR and grey correlation degree.

Biological 3D printing composite forming process is combined with the 3D printing technology and electrospinning technology. The composite molding process is used for preparing 3D scaffolds for tissue engineering. Complex biological 3D printing composite forming process and unstable processing environment make it difficult to form better quality of composite scaffolds. Therefore, it is necessary to optimize the process parameters. In this paper, based on orthogonal experiment, signal-to-noise ratio (SNR) analytical technique, one of the parameter designing methods, is adopted to determine the degree of influence exerted by process parameters on the quality of composite scaffold and thus obtain the degree sequence of each process parameter on the evaluation criterion during biological 3D printing composite forming process. Moreover, under grey correlation theory, the multi-objective parameter optimization problem can be transformed into the single objective optimization one. A group of optimized process parameters under multiple process criterions is obtained. Through the forming experiment of composite scaffold, the results show that process parameters obtained by the above method can produce good quality scaffold. [ABSTRACT FROM AUTHOR]