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Article type: Research Article
Authors: Wu, Xiaoyana; b; c; d; * | Wang, Shua | Wang, Xinnanb | He, Guogengc
Affiliations: [a] School of Mechanical and Electronic Engineering, Hubei Polytechnic University, Huangshi, Hubei 435003, China | [b] Postdoctoral Research Workstation, Huangshi Dongbei Electrical Appliance Co., Ltd., Huangshi, Hubei 435000, China | [c] School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China | [d] Hubei Key Laboratory of Intelligent Conveying Technology and Device, Huangshi, Hubei 435003, China
Correspondence: [*] Corresponding author: Xiaoyan Wu, School of Mechanical and Electronic Engineering, Hubei Polytechnic University, Huangshi, Hubei 435003, China. E-mail: [email protected].
Abstract: In recent years, the research and development of 3D bioprinting device for artificial blood vessels has attracted great attention of researchers. In this paper, the research object is the control system of 3D bioprinting device for artificial blood vessel and the four-channel air pressure cooperative control technology for 3D bioprinting device double nozzles printing is mainly studied. Through the scheme design, working principle innovation, hardware selection and air pressure output calibration experiment of four-way air pressure cooperative control system, the hardware platform of 3D bioprinting device air pressure control system is built. Then, by using the embedded TwinCAT NC PTP software platform based on EtherCAT Ethernet bus protocol, the four-channel air pressure cooperative control is programmed and field experiments are carried out, which realizes the printing process of uniform liquid output and good continuity, and meets the requirements of 3D bioprinting for printing continuity and forming quality. The study of four-channel air pressure cooperative control system in this course is a worthy of application and promotion control method.
Keywords: 3D bio-printing, air pressure control, TwinCAT, printing molding, field experiments
DOI: 10.3233/JCM-204798
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 4, pp. 1041-1049, 2021
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