Method for predicting viscosity characteristics of cellulose bio-ink

Abstract

The invention discloses a method for predicting viscosity characteristics of cellulose bio-ink. The method comprises the following steps: S1, carrying out a shear scanning test on the cellulose bio-ink by using a rotational rheometer to obtain shear rate-viscosity data; s2, obtaining viscosity characteristics of the cellulose bio-ink according to the shear rate-viscosity curve obtained in the step S1, and providing a candidate viscosity model; s3, by defining optimization variables and determining constraints and optimization targets of an optimization problem, converting a candidate viscosity model parameter determination problem into a multi-target optimization problem so as to determine parameters of each candidate viscosity model; s4, solving the transformed multi-objective optimization problem by using an improved non-dominated sorting genetic algorithm to obtain a Pareto optimal solution; and s5, selecting a single optimal solution from the Pareto optimal solution by using an approximate ideal solution sorting method so as to determine the most suitable viscosity model and viscosity model parameters. Compared with the prior art, the prediction method can accurately and reliably predict the viscosity characteristic of the cellulose bio-ink.

Description

technical field [0001] The invention relates to the technical field of bio-inks for additive manufacturing, in particular to a method for predicting viscosity characteristics of cellulose bio-inks. Background technique [0002] Bioinks are defined as hybrid gels containing biological components or biomaterials, suitable for 3D printing using additive manufacturing techniques. In recent years, bioinks prepared from plant components (cellulose, lignin, etc.) have been widely accepted by academia, biology and industry due to their advantages of low price, non-toxicity, sustainability and sufficient sources. Concern has been successfully applied in medical fields such as tissue culture and rehabilitation engineering, as well as industrial fields such as batteries, sensors, and memory materials. Cellulose bio-ink is mainly prepared from cellulose and cellulose derivatives derived from cotton. It has good printing performance and mechanical properties. It is a typical representat...

AI Technical Summary

Problems solved by technology

[0005] (1) Lack of choice of viscosity model: Cellulose bioink is a shear-thinning material, and there are currently four widely used classic models (power-law model, Hershel-Bulkley model, Bird-Carreau model and Cross power-law model) For the viscosity model applied to shear-thinning materials, the existing methods only simply use the power-law model, lack of model comparison and selection, and ultimately lead to inaccurate prediction results;

[0006] (2) Limitations of the linear fitting method in the determination of model parameters: the existing methods use the linear fitting method to determine the model parameters, but the Bird-Carreau model and the Cross power law model cannot be converted into linear equations, and the linear fitting method cannot be used universally

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