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Research on Fuzzy PID Temperature Control Strategy for Low-Temperature 3D Printing Systems Based on Whale Optimization Algorithm(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2025年01期
Page:
1-11
Research Field:
电气工程
Publishing date:

Info

Title:
Research on Fuzzy PID Temperature Control Strategy for Low-Temperature 3D Printing Systems Based on Whale Optimization Algorithm
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)
Keywords:
low-temperature 3D printing; whale optimization algorithm; hydrogel scaffold; porous microstructure; biological repair
PACS:
TP205
DOI:
10.3969/j.issn.1672-1292.2025.01.001
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.

References:

[1]MANI M P,SADIA M,JAGANATHAN S K,et al. A review on 3D printing in tissue engineering applications[J]. Journal of Polymer Engineering,2022,42(3):243-265.
[2]陈明学,吴江,殷瀚,等. 基于低温沉积3D打印技术构建新型组织工程半月板支架的研究[J]. 中国修复重建外科杂志,2024,38(6):748-754.
[3]LIU W,WANG D,HUANG J,et al. Low-temperature deposition manufacturing:A novel and promising rapid prototyping technology for the fabrication of tissue-engineered scaffold[J]. Materials Science and Engineering:C,2017,70(2):976-982.
[4]GAO X S,WANG H H,LUAN S F,et al. Low-temperature printed hierarchically porous induced-biomineralization polyaryletherketone scaffold for bone tissue engineering[J]. Advanced Healthcare Materials,2022,11(18):2200977.
[5]WANG C,LAI J,LI K,et al. Cryogenic 3D printing of dual-delivery scaffolds for improved bone regeneration with enhanced vascularization[J]. Bioactive Materials,2021,6(1):137-145.
[6]SUN T,WANG J Z,HUANG H G,et al. Low-temperature deposition manufacturing technology:A novel 3D printing method for bone scaffolds[J]. Frontiers in Bioengineering and Biotechnology,2023,11:1222102.
[7]CASTILHO M,DIAS M,GBURECK U,et al. Fabrication of computationally designed scaffolds by low temperature 3D printing[J]. Biofabrication,2013,5(3):035012.
[8]BARTOLOM? E,BOZZO B,SEVILLA P,et al. ABS 3D printed solutions for cryogenic applications[J]. Cryogenics,2017,82:30-37.
[9]ZHANG P,GAO Q,YU K C,et al. Investigation on the temperature control accuracy of a print head for extrusion 3D printing and its improved design[J]. Biomedicines,2022,10(6):1233.
[10]谢竹逵,冯可. 改进的粒子群模糊PID算法在温控系统中的应用[J]. 机电工程技术,2023,52(11):222-225.
[11]LI H S,LU G J,SU J D,et al. Improved particle swarm fuzzy PID temperature control for the pellet grill[J]. IEEE Access,2024,12:66373-66381.
[12]NADIMI-SHAHRAKI M H,ZAMANI H,ASGHARI V Z,et al. A systematic review of the whale optimization algorithm:Theoretical foundation,improvements,and hybridizations[J]. Archives of Computational Methods in Engineering,2023,30(7):4113-4159.
[13]ZHANG Y,LI F,ZHANG Y,et al. Enhanced whale optimization algorithm for fuzzy proportional-integral-derivative control optimization in unmanned aerial vehicles[J]. Machines,2024,12(5):295.
[14]QIN Z J,WANG X D,ZHANG H B,et al. Research on heat pump air conditioner compressor speed control strategy based on whale algorithm[J]. Case Studies in Thermal Engineering,2024,53:103939.
[15]WU X Y,WANG X N,HE G G. A fuzzy self-tuning temperature PID control algorithms for 3D bio-printing temperature control system[C]//2020 Chinese Control and Decision Conference(CCDC). Hefei,China,2020.
[16]LI Z A,XU M J,WANG J H,et al. Recent advances in cryogenic 3D printing technologies[J]. Advanced Engineering Materials,2022,24(10):2200245.
[17]KAUR A,KUMAR A. A new method for solving fuzzy transportation problems using ranking function[J]. Applied Mathematical Modelling,2011,35(12):5652-5661.
[18]HE S,WU Q H,SAUNDERS J R. Group search optimizer:an optimization algorithm inspired by animal searching behavior[J]. IEEE Transactions on Evolutionary Computation,2009,13(5):973-990.
[19]LIU T Q,YANG B,TIAN W Q,et al. Cryogenic coaxial printing for 3D shell/core tissue engineering scaffold with polymeric shell and drug-loaded core[J]. Polymers,2022,14(9):1722.

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Last Update: 2025-03-15