Orthogonal experiment of fused deposition molding 3D printing drawing defects

被引：0
|
作者：
Bai Y.-J. [1 ]
Chen Y. [1 ,2 ]
Zhang S. [1 ]
Chen K. [1 ]
Su S.-J. [1 ,2 ]
机构：
[1] School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang
[2] Jiangsu Key Laboratory of Advanced Manufacturing for Marine Machinery and Equipment, Zhenjiang
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2022年 / 56卷 / 10期
关键词：
3D printing; drawing defect; fused deposition molding (FDM); orthogonal experiment;
D O I：
10.3785/j.issn.1008-973X.2022.10.021
中图分类号：
学科分类号：
摘要：
An orthogonal analysis method of fused deposition molding (FDM) 3D printing drawing defects based on vibration signals was proposed in order to solve the abnormal working conditions of wire drawing in the printing process in time. The single factor test was conducted, and the time domain analysis of the signal collected by the acceleration vibration sensor was conducted. The correlation kurtosis, peak factor and pulse factor eigenvalues were extracted to determine the relationship between the four printing parameters, namely, nozzle temperature, pullback distance, pullback rate, empty driving speed and drawing defects of the parts. The four-factor and three-level orthogonal test was conducted based on the single-factor test, and the extracted time-domain eigenvalues of vibration signals were taken as the evaluation index. The test data were analyzed by range and variance analysis. The test results show that the on-line monitoring method based on acceleration vibration sensor can identify the drawing defects very well. The drawing distance and nozzle temperature significantly affect the drawing defects when the used material is PLA, while the effects of empty driving speed and drawing speed are not significant. The wire drawing condition of the printing model is the best when the nozzle temperature is 190 ℃, the drawing speed is 50 mm/s, the drawing distance is 12 mm and the empty driving speed is 50 mm/s. © 2022 Zhejiang University. All rights reserved.
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页码：2093 / 2103
页数：10
相关论文
共 22 条
  • [1] CALIGNANO F, MANFREDI D, AMBROSIO E P, Et al., Overview on additive manufacturing technologies [J], Proceedings of the IEEE, 105, 4, pp. 1-20, (2017)
  • [2] COOKE S, AHMADI K, WILLERTH S, Et al., Metal additive manufacturing: technology, metallurgy and modeling [J], Journal of Manufacturing Processes, 57, 2, pp. 978-1003, (2020)
  • [3] LU Bing-heng, Additive manufacturing technology: status quo and future [J], China Mechanical Engineering, 31, 1, pp. 19-23, (2020)
  • [4] HU Mei-juan, JI Ling-kang, MA Qiu-rong, Et al., Research on laser additive manufacturing technology and present situation [J], Oil Pipes and Instruments, 5, 5, pp. 1-6, (2019)
  • [5] HAO B, LIN G., 3D printing technology and its application in industrial manufacturing, IOP Conference Series Materials Science and Engineering, 782, (2020)
  • [6] ZHANG Jing, ZOU Dao-qin, WANG Hai-long, Et al., Tensile performance and constitutive model of interface between 3D printed concrete layers [J], Journal of Zhejiang University: Engineering Science Edition, 55, 11, pp. 2178-2185, (2021)
  • [7] GU Dong-dong, ZHANG Hong-mei, CHEN Hong-yu, Et al., Laser additive manufacturing of high-performance metal material components in aerospace [J], China Laser, 47, 5, pp. 32-55, (2020)
  • [8] THOMAS D J, SINGH D., 3D printing for developing patient specific cosmetic prosthetics at the point of care [J], International Journal of Surgery, 12, 4, pp. 36-39, (2020)
  • [9] LE-BAIL A, MANIGLIA B C, LE-BAIL P., Recent advances and future perspective in additive manufacturing of foods based on 3D printing [J], Current Opinion in Food Science, 35, pp. 54-64, (2020)
  • [10] NUCHITPRASITCHAI S, ROGGEMANN M, PEARCE J M., Factors effecting real-time optical monitoring of fused filament 3D printing [J], Progress in Additive Manufacturing, 2, 3, pp. 133-149, (2017)
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