A Closed-Loop Inspection Architecture for Additive Manufacturing Based on STEP Standard

被引:6
|
作者
Riano, Cristhian [1 ]
Rodriguez, Efrain [1 ]
Alvares, Alberto J. [1 ]
机构
[1] Univ Brasilia, Dept Mech & Mechatron, Brasilia, DF, Brazil
来源
IFAC PAPERSONLINE | 2019年 / 52卷 / 13期
关键词
Closed-loop inspection; Quality management; Additive manufacturing; Interoperability; ISO; 10303; STEP-NC; SYSTEMS;
D O I
10.1016/j.ifacol.2019.11.629
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Among the challenges posed by the new industrial revolution-Industry 4.0 is the integration of systems associated with manufacturing. In this sense, the inspection process assumes an important role since it provides the information base to make the decisions that allow reaching the design and quality specifications. From the manufacturing point of view, Additive Manufacturing (AM) contains the potential to meet production demands by making efficient use of resources, reducing manufacturing time, and enabling the manufacture of complex parts. The idea of integrating the inspection process with a robotic system for additive manufacturing seeks both to improve the quality of the parts produced and to find methods to optimize the process and create a sustainable system. However, to make this combination a reality, it is necessary to face the barriers posed by the lack of integration of the information produced by the different computerized systems throughout the life cycle of the product. Thus, there is no integration of feedback information from shop-floor necessary for inspection and validation of the part manufactured with AM, which does not allow a closed-loop digital thread. Concerning this, the present article proposes the development of an integration strategy with a digital data model based on STEP-NC (Standard for the Exchange of Product model data - Numerical Control) for closed-loop AM. The data models in STEP-NC for the AM and inspection tasks it develops, highlighting the scenario of integrated feedback for the closed-loop AM digital thread. Are presented the architecture of integration validated by using an open AM platform and the results of error control over the parts. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2782 / 2787
页数:6
相关论文
共 50 条
  • [1] Manufacturing knowledge management based on STEP-NC standard: a Closed-Loop Manufacturing approach
    Danjou, Christophe
    Le Duigou, Julien
    Eynard, Benoit
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2017, 30 (09) : 995 - 1009
  • [2] Toward Closed-loop Additive Manufacturing: Paradigm Shift in Fabrication, Inspection, and Repair
    Singh, Manpreet
    Ruan, Fujun
    Xu, Albert
    Wu, Yuchen
    Rungta, Archit
    Wang, Luyuan
    Song, Kevin
    Choset, Howie
    Li, Lu
    [J]. 2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2023, : 10066 - 10073
  • [3] Closed-loop manufacturing process based on STEP-NC
    Danjou C.
    Le Duigou J.
    Eynard B.
    [J]. International Journal on Interactive Design and Manufacturing (IJIDeM), 2017, 11 (2): : 233 - 245
  • [4] Integration models for closed loop inspection based on step-nc standard
    Saif, Y.
    Yusof, Y.
    [J]. INTERNATIONAL CONFERENCE ON MECHANICAL AND MANUFACTURING ENGINEERING (ICME2018), 2019, 1150
  • [5] Shifting Layer Heights for Closed-Loop Contours in Additive Manufacturing
    Roschli, Alex
    Bhandari, Isha
    Borish, Michael
    Adkins, Cameron
    White, Liam
    [J]. 8TH ACM SYMPOSIUM ON COMPUTATIONAL FABRICATION, SCF 2023, 2023,
  • [6] CLOSED-LOOP CONTROL OF SILICONE EXTRUSION-BASED ADDITIVE MANUFACTURING BASED ON MACHINE VISION
    Tian, Xiaoqing
    Li, Yaling
    Ma, Dingyifei
    Han, Jiang
    Xia, Lian
    [J]. PROCEEDINGS OF THE ASME 2021 16TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE (MSEC2021), VOL 1, 2021,
  • [7] Additive manufacturing methods: techniques, materials, and closed-loop control applications
    Francisco Jose Mercado Rivera
    Alvaro Jose Rojas Arciniegas
    [J]. The International Journal of Advanced Manufacturing Technology, 2020, 109 : 17 - 31
  • [8] Smart additive manufacturing empowered by a closed-loop machine learning algorithm
    Razaviarab, Nariman
    Sharifi, Safura
    Banadaki, Yaser M.
    [J]. NANO-, BIO-, INFO-TECH SENSORS AND 3D SYSTEMS III, 2019, 10969
  • [9] Closed-Loop Additive Manufacturing: Dynamic Covalent Networks in Vat Photopolymerization
    Voet, Vincent S. D.
    [J]. ACS MATERIALS AU, 2023, 3 (01): : 18 - 23
  • [10] Additive manufacturing methods: techniques, materials, and closed-loop control applications
    Mercado Rivera, Francisco Jose
    Rojas Arciniegas, Alvaro Jose
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 109 (1-2): : 17 - 31