Digital Assistance in Additive Manufacturing Domain-specific Potential Assessment of AR-based Digital Assistance Systems for Additive Manufacturing

被引:0
|
作者
Vogt M. [1 ]
Möller M. [1 ]
Emmelmann C. [1 ]
机构
[1] Fraunhofer-Einrichtung für Additive Produktionstechnologien Iapt, Am Schleusengraben 14, Hamburg
来源
ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb | 2021年 / 116卷 / 10期
关键词
Additive Manufacturing; Augmented Reality; Digital Assistance Systems; Digitalization; Potential Assessment; Technology Management;
D O I
10.1515/zwf-2021-0173
中图分类号
学科分类号
摘要
Domain-specific Potential Assessment of AR-based Digital Assistance Systems for Additive Manufacturing. Augmented reality-based digital assistance systems are already deployed successfully in industry to support workers in accomplishing manual tasks. However, their use in additive manufacturing has not yet been comprehensively investigated. Based on conventional technology management, a methodical approach was developed to adapt applicationspecific use cases for additive manufacturing. © 2021 Walter de Gruyter GmbH, Berlin/Boston, Germany.
引用
收藏
页码:701 / 706
页数:5
相关论文
共 50 条
  • [21] Optimized Additive Manufacturing Technology Using Digital Twins and Cyber Physical Systems
    Nagar, Sreekanth Vasudev
    Chandrashekar, Arjun C.
    Suvarna, Manish
    CYBER-PHYSICAL SYSTEMS AND DIGITAL TWINS, 2020, 80 : 65 - 73
  • [22] A digital-based approach for characterising spread powder layer in additive manufacturing
    He, Yi
    Gardy, Jabbar
    Hassanpour, Ali
    Bayly, Andrew E.
    MATERIALS & DESIGN, 2020, 196
  • [23] A nesting optimization method based on digital contour similarity matching for additive manufacturing
    Yang, Yizhe
    Liu, Bingshan
    Li, Haochen
    Li, Xin
    Wang, Gong
    Li, Shan
    JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 34 (06) : 2825 - 2847
  • [24] Blockchain-based quality management for a digital additive manufacturing part record
    Westphal, Erik
    Leiding, Benjamin
    Seitz, Hermann
    JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2023, 35
  • [25] A nesting optimization method based on digital contour similarity matching for additive manufacturing
    Yizhe Yang
    Bingshan Liu
    Haochen Li
    Xin Li
    Gong Wang
    Shan Li
    Journal of Intelligent Manufacturing, 2023, 34 : 2825 - 2847
  • [26] Digital, Scalable Manufacturing - A Sustainable Production Scenario Using Collaborative Robotics and Additive Manufacturing
    Mueller, Tobias
    Schmidt, Andreas
    Scholz, Steffen
    Hagenmeyer, Veit
    SUSTAINABLE DESIGN AND MANUFACTURING, SDM 2022, 2023, 338 : 262 - 271
  • [27] Digital twins in additive manufacturing: a state-of-the-art review
    Shen, Tao
    Li, Bo
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 131 (01): : 63 - 92
  • [28] Probabilistic Digital Twin for Additive Manufacturing Process Design and Control
    Nath, Paromita
    Mahadevan, Sankaran
    JOURNAL OF MECHANICAL DESIGN, 2022, 144 (09)
  • [29] Additive manufacturing of electrofused mullite slurry by digital light processing
    de Camargo, Italo Leite
    Erbereli, Rogerio
    Fortulan, Carlos Alberto
    JOURNAL OF THE EUROPEAN CERAMIC SOCIETY, 2021, 41 (14) : 7182 - 7188
  • [30] Digital twins in additive manufacturing: a state-of-the-art review
    Tao Shen
    Bo Li
    The International Journal of Advanced Manufacturing Technology, 2024, 131 : 63 - 92