中国塑料 ›› 2025, Vol. 39 ›› Issue (1): 112-117.DOI: 10.19491/j.issn.1001-9278.2025.01.018

• 综述 • 上一篇    下一篇

基于FDM成型技术的打印强度和成型速率研究进展

王世檩1(), 朱家威1, 张鹏1, 魏兴岳1, 杨华光2, 曾宪奎1, 杨卫民3, 鉴冉冉1()   

  1. 1.青岛科技大学机电工程学院,山东 青岛 266061
    2.金发科技股份有限公司企业技术中心,广州 510663
    3.北京化工大学机电工程学院,北京 100029
  • 收稿日期:2024-04-12 出版日期:2025-01-26 发布日期:2025-02-14
  • 通讯作者: 鉴冉冉(1991-),男,副教授,主要从事高分子材料加工成型与先进制造技术,jianrr@foxmail.com
    E-mail:15315613867@163.com;jianrr@foxmail.com
  • 作者简介:王世檩(2000-),男,硕士研究生,主要从事挤出增材制造技术研究,15315613867@163.com
  • 基金资助:
    国家自然科学基金资助项目(52206095);山东省自然科学基金资助项目(ZR2021QE232);山东省高等学校青创科技支持计划(2023KJ102)

Research progress in printing strength and molding rate based on FDM molding technology

WANG Shilin1(), ZHU Jiawei1, ZHANG Peng1, WEI Xingyue1, YANG Huaguang2, ZENG Xiankui1, YANG Weimin3, JIAN Ranran1()   

  1. 1.College of Electromechanical Engineering,Qingdao University of Science and Technology,Qingdao 266061,China
    2.Kingfa Sci. and Tech. Co,Ltd,Guangzhou 510663,China
    3.College of Mechanical and Electrical Engineering,Beijing University of Chemical Technology,Beijing 100029,China
  • Received:2024-04-12 Online:2025-01-26 Published:2025-02-14
  • Contact: JIAN Ranran E-mail:15315613867@163.com;jianrr@foxmail.com

摘要:

熔融沉积成型(FDM)技术作为3D打印的主流技术,虽受广泛应用,但打印件强度不足与成型速度慢等问题仍是其发展的瓶颈。为此,国内外学者进行了深入研究。本文从优化打印参数、改进层间结合、材料改性和工艺创新等层面,探讨了提升打印强度的多种途径。同时,从完善打印方法和优化打印设备两个维度,分析了影响FDM成型效率的关键因素,并提出了相应的改善措施。最后,从打印路径优化及质量检测两个角度总结了国内外学者通过人工智能提高打印强度及打印速率的综合应用。

关键词: 熔融沉积成型, 成型效率, 成型质量, 人工智能

Abstract:

As a mainstream technology for 3D printing, fused deposition modeling (FDM) has been received a wide application range. However, the insufficient strength of printing parts and slow molding speed are still the bottleneck for its development. Therefore, the researchers at home and in foreign countries have conducted in⁃depth research on this issue. This article explored various ways to improve printing strength from the perspectives of optimizing printing parameters and improving interlayer bonding, material modification, and process innovation. Meanwhile, the paper also analyzed the key factors that affect the molding efficiency of FDM from the two aspects of improving the printing method and optimizing the printing equipment and proposed the corresponding improvement methods. Finally, the comprehensive applications for improving printing strength and printing rate through artificial intelligence from the perspectives of printing path optimization and quality inspection were summarized.

Key words: fused deposition modeling, molding efficiency, molding quality, artificial intelligence

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