A method for predicting viscosity properties of cellulose bioinks

Abstract

The invention discloses a method for predicting the viscosity characteristics of cellulose bio-ink. The steps include S1, using a rotational rheometer to perform a shear scanning test on the cellulose bio-ink to obtain shear rate-viscosity data; S2, obtaining shear rate-viscosity data according to step S1 The shear rate-viscosity curve is used to learn the viscosity characteristics of the cellulose bioink, and a candidate viscosity model is proposed; S3. By defining optimization variables, the constraints and optimization objectives of the optimization problem are determined, and the problem of determining the parameters of the candidate viscosity model is transformed into a multi-objective optimization problem. Determine the parameters of each candidate viscosity model; S4. Use the improved non-dominated sorting genetic algorithm to solve the transformed multi-objective optimization problem to obtain the Pareto optimal solution; S5. Use the approximate ideal solution sorting method to select a single optimal solution from the Pareto optimal solution so that The most suitable viscosity model and viscosity model parameters are determined; compared with the prior art, the prediction method can accurately and reliably predict the viscosity characteristics of the cellulose bioink.

Description

technical field [0001] The invention relates to the technical field of bio-inks for additive manufacturing, in particular to a method for predicting the viscosity characteristics of cellulose bio-inks. Background technique [0002] Bioinks are defined as mixture 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 used in academia, biology and industry due to the advantages of low price, non-toxic and harmless, sustainable and sufficient sources. It has been successfully applied in medical fields such as tissue culture and rehabilitation engineering, as well as in industrial fields such as batteries, sensors, and memory materials. Cellulose bioink is mainly prepared from cellulose and cellulose derivatives derived from cotton. It has good printing properties and mechanical properties. It is a typical representa...

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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