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作者:

Zhao, Tao (Zhao, Tao.) | Yan, Zhaoyang (Yan, Zhaoyang.) | Zhang, Bin (Zhang, Bin.) | Zhang, Pengtian (Zhang, Pengtian.) | Pan, Rui (Pan, Rui.) | Yuan, Tao (Yuan, Tao.) | Xiao, Jun (Xiao, Jun.) | Jiang, Fan (Jiang, Fan.) | Wei, Huiliang (Wei, Huiliang.) | Lin, Sanbao (Lin, Sanbao.) | Chen, Shujun (Chen, Shujun.)

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EI Scopus SCIE

摘要:

Directed energy deposition (DED) represents a pivotal advancement in intelligent manufacturing, facilitating efficient near-net shape metal part production, particularly suited for aerospace and defense applications demanding high precision. Arc-based DED relies on meticulous process and trajectory planning, where AI-driven manufacturing systems optimize paths and parameters to surmount intricate physical phenomena like material melting and heat transfer. AI methodologies such as deep learning and big data analytics offer promising solutions. The exclusive process planning software for DED-Arc (EPPS-DED) broadens the technology's application domains. This paper comprehensively outlines core algorithms pertinent to EPPS-DED and essential process strategies for meticulous process planning, providing insights for software development and part quality enhancement. Key topics covered include 3D model slicing, path planning, printing efficiency, and scanning order for 2D contours with diverse geometries, alongside strategies for inclined structures and lattices. Moreover, it discusses the latest AI applications in process planning. The paper concludes with current progress and future outlooks aimed at refining the accuracy and performance of DED-fabricated components.

关键词:

Artificial intelligence Additive manufacturing Directed energy deposition Path planning Parameter optimized

作者机构:

  • [ 1 ] [Zhao, Tao]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 2 ] [Yan, Zhaoyang]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 3 ] [Pan, Rui]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 4 ] [Yuan, Tao]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 5 ] [Xiao, Jun]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 6 ] [Jiang, Fan]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 7 ] [Chen, Shujun]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China
  • [ 8 ] [Yan, Zhaoyang]Harbin Inst Technol, State Key Lab Adv Welding & Joining, Harbin 150001, Peoples R China
  • [ 9 ] [Lin, Sanbao]Harbin Inst Technol, State Key Lab Adv Welding & Joining, Harbin 150001, Peoples R China
  • [ 10 ] [Zhang, Bin]Beijing Spacecrafts Co Ltd, Beijing 100094, Peoples R China
  • [ 11 ] [Zhang, Pengtian]Beijing Spacecrafts Co Ltd, Beijing 100094, Peoples R China
  • [ 12 ] [Wei, Huiliang]Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing 210094, Peoples R China

通讯作者信息:

  • [Yan, Zhaoyang]Beijing Univ Technol, Fac Mat & Mfg, Beijing 100124, Peoples R China;;

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来源 :

JOURNAL OF MANUFACTURING PROCESSES

ISSN: 1526-6125

年份: 2024

卷: 119

页码: 235-254

6 . 2 0 0

JCR@2022

被引次数:

WoS核心集被引频次: 28

SCOPUS被引频次: 30

ESI高被引论文在榜: 2 展开所有

  • 2024-11
  • 2024-11

万方被引频次:

中文被引频次:

近30日浏览量: 2

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