A method for predicting viscosity properties of cellulose bioinks

A technology of bio-ink and characteristic prediction, applied in genetic rules, special data processing applications, design optimization/simulation, etc., can solve problems such as inability to use linear fitting methods, inaccurate prediction results, lack of model comparison and selection, etc.

CN112749488BActive Publication Date: 2022-07-08BEIHANG UNIV
4 Cites 1 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2022-07-08

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

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.
Need to check novelty before this filing date? Find Prior Art

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...

Examples

Embodiment Construction

[0081] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but the following embodiments do not limit the present invention by any means.

[0082] like figure 1 As shown in the figure, taking the prediction of the viscosity characteristics of a cellulose bio-ink as an example, the specific implementation steps of the method for predicting the viscosity characteristics of a cellulose bio-ink of the present application are described, and the steps are as follows:

[0083] S1. Use a rotational rheometer to perform a shear scanning test on the cellulose bioink to obtain shear rate-viscosity data; specifically,

[0084] In this step, the rotational rheometer adopts the rotational rheometer ARES (Texas Instruments, USA), and selects two circular plate structures with a diameter of 25 mm as the geometric structure for the viscosity characteristic test, and sets two circular plates arranged in parallel. The spaci...