Research on trajectory planning algorithm of artificial meat adipose tissue 3D printing

Authors

CHEN Lian-jie, School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
NING Meng, School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, Jiangsu 214122, ChinaFollow
CHEN Hui-tao, School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
ZHANG Fan, School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China; Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China

Corresponding Author(s)

宁萌（1985—），男，江南大学副教授，博士。E-mail:1613722479@qq.com

Abstract

Objective: Aiming at the problems of unstable 3D printing quality and low printing efficiency of adipose tissue part of artificial meat based on plant raw materials, studied and improve the intelligent 3D printing trajectory motion algorithm matching with food materials, to reduce the accumulation and corners in the printing path. Methods: A trajectory planning method adapted to the characteristics of artificial meat adipose tissue raw materials was proposed. The complex section layer of the sliced model was divided into several simple polygon sub-partition contours using Bayesian algorithm, and an improved nearest neighbor method was used to determine the optimal motion starting point of each contour. At the same time, the genetic algorithm was integrated into the ant colony algorithm was applied to solve the optimal printing path of the partition contour, and finally the interior of the contour was filled with the improved zigzag scanning algorithm. Results: For the artificial meat adipose tissue in this study, through experimental verification, comparing the existing trajectory planning methods of Cura and Prusa, the established model was printed on a single-layer cross-section, and the printing time and motion path length were reduced, and the quality was good. Conclusion: The proposed trajectory planning algorithm for 3D printing of artificial meat adipose tissue has high feasibility and effectiveness.

Publication Date

4-25-2023

First Page

3

Last Page

8

DOI

10.13652/j.spjx.1003.5788.2022.80590

Recommended Citation

Lian-jie, CHEN; Meng, NING; Hui-tao, CHEN; and Fan, ZHANG (2023) "Research on trajectory planning algorithm of artificial meat adipose tissue 3D printing," Food and Machinery: Vol. 39: Iss. 1, Article 1.
DOI: 10.13652/j.spjx.1003.5788.2022.80590
Available at: https://www.ifoodmm.cn/journal/vol39/iss1/1

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