[1]张跃瀚,胡嘉杰,卜方鑫,等.基于WOA的低温3D打印系统模糊PID温度控制策略研究[J].南京师范大学学报(工程技术版),2025,25(01):001-11.[doi:10.3969/j.issn.1672-1292.2025.01.001]
　Zhang Yuehan,Hu Jiajie,Bu Fangxin,et al.Research on Fuzzy PID Temperature Control Strategy for Low-Temperature 3D Printing Systems Based on Whale Optimization Algorithm[J].Journal of Nanjing Normal University(Engineering and Technology),2025,25(01):001-11.[doi:10.3969/j.issn.1672-1292.2025.01.001]
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基于WOA的低温3D打印系统模糊PID温度控制策略研究
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
25卷
期数:
2025年01期
页码:
001-11
栏目:
电气工程
出版日期:
2025-03-15

文章信息/Info

Title:
Research on Fuzzy PID Temperature Control Strategy for Low-Temperature 3D Printing Systems Based on Whale Optimization Algorithm
文章编号:
1672-1292(2025)01-0001-11
作者:
张跃瀚1; 2; 胡嘉杰1; 2; 卜方鑫1; 2; 朱莉娅1; 2
(1.南京师范大学南瑞电气与自动化学院,江苏 南京 210023)
(2.南京师范大学江苏省三维打印装备与制造重点实验室,江苏 南京 210023)
Author(s):
Zhang Yuehan1; 2; Hu Jiajie1; 2; Bu Fangxin1; 2; Zhu Liya1; 2
(1.School of Electrical and Automation Engneering,Nanjing Normal University,Nanjing 210023,China)
(2.Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing,Nanjing Normal University,Nanjing 210023,China)
关键词:
低温3D打印; 鲸鱼优先算法; 水凝胶支架; 多孔微观结构; 生物修复
Keywords:
low-temperature 3D printing; whale optimization algorithm; hydrogel scaffold; porous microstructure; biological repair
分类号:
TP205
DOI:
10.3969/j.issn.1672-1292.2025.01.001
文献标志码:
A
摘要:
低温3D打印技术在组织修复中应用广泛,相较传统常温3D打印技术,打印的支架有成型精度高、结构稳定、孔隙率高的优点. 但目前低温3D打印以成型平台制冷为主,针对大尺寸的凝胶类生物材料成型仍存在困难. 设计了一种基于鲸鱼优先算法(whale optimization algorithm,WOA)的低温3D打印系统模糊PID温度控制策略,可以实现整个打印腔室内低温环境稳定可控. 首先,建立了半导体制冷器温度控制系统的模型. 然后,利用MATLAB/Simulink对传统PID、模糊PID、以及基于WOA的模糊PID方法控温性能进行仿真,相较传统及模糊PID控制,基于WOA的模糊PID控制器相较传统PID控制器,上升时间缩短了22 s,调节时间缩短了249 s,超调量减小了4.1%. 最后,搭建基于WOA的模糊PID温度控制策略的低温3D打印系统,完成常温与低温打印对比实验. 实验结果表明,低温3D打印系统打印的水凝胶支架成型精度高且结构稳定,有良好的多孔微观结构,有利于组织修复与再生.
Abstract:
Low-temperature 3D printing technology is widely used in tissue repair. Compared with traditional room-temperature 3D printing,scaffolds printed by low-temperature 3D printing technology exhibit advantages such as high molding precision,structural stability,and high porosity. However,current low-temperature 3D printing only controls the temperature on the forming platform,leading to difficulty in formation of large-scale gel-like biomaterials. Therefore,this paper designs a fuzzy PID temperature control strategy based on the whale optimization algorithm(WOA)for low-temperature 3D printing systems,enabling stable and controllable low-temperature environments within the entire printing chamber. Firstly,a model of the semiconductor cooler temperature control system is established. Then,simulations of traditional PID,fuzzy PID,and fuzzy PID based on the WOA are conducted to assess temperature control performance using MATLAB/Simulink software. Compared with traditional and fuzzy PID control methods,the fuzzy PID controller based on the WOA reduces the temperature rise time by 22 seconds,shortens the settling time by 249 seconds,and decreases overshoot by 4.1%. Finally,a low-temperature 3D printing system employing the fuzzy PID temperature control strategy based on the WOA is constructed,and comparative experiments between room-temperature and low-temperature printing are performed. According to the experimental results,the low-temperature 3D printing system designed in this study exhibits high precision and structural stability in printing hydrogel scaffolds. Meanwhile,porous microstructures are formed during printing process,which will improve tissue repair and regeneration.

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备注/Memo

备注/Memo:
收稿日期:2024-08-04.
基金项目:国家自然科学基金项目(32171358).
通讯作者:朱莉娅,博士,副教授,研究方向:生物打印技术、可穿戴传感器、微型能量收集. E-mail:61193@njnu.edu.cn
更新日期/Last Update: 2025-03-15