Measurements of Geometrical Quantities and Selection of Parameters in the Robotic Grinding Process of an Aircraft Engine

被引:1
|
作者
Kurc, Krzysztof [1 ]
Burghardt, Andrzej [1 ]
Muszynska, Magdalena [1 ]
Pietrus, Paulina [1 ]
Szybicki, Dariusz [1 ]
机构
[1] Rzeszow Univ Technol, Fac Mech Engn & Aeronaut, Dept Appl Mech & Robot, Al Powstancow Warszawy 8, PL-35959 Rzeszow, Poland
关键词
industrial robot; laser scanners; software; decision-making system; fuzzy logic; communication; LASER DISPLACEMENT SENSOR; SIMULATION; OPTIMIZATION; VERIFICATION; CALIBRATION; WORKPIECES; REMOVAL; SYSTEM;
D O I
10.3390/electronics13204077
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Aircraft engine blades are produced through various techniques, one of which is precise electrochemical machining (ECM), commonly applied in the aerospace, automotive, and electromechanical industries. This method achieves machining accuracy ranging from 0.1 to 0.3 mm. However, components with complex shapes still require grinding and polishing. During the grinding of aircraft blades, achieving high precision and maintaining strict dimensional control are essential. This involves monitoring the thickness of the blade at key cross-sections, as well as the radii of the leading and trailing edges, chord lengths, twist angles, and more. The paper introduces a developed robotic blade grinding process featuring iterative laser measurement of geometric parameters. A custom measuring device with laser heads was designed, calibrated, and tested for repeatability. The measurement data were then used to determine the blade feed rate and machining path via a fuzzy logic decision system. The proposed method was validated on a series of PT6 aircraft engine blades in collaboration with Pratt and Whitney Rzesz & oacute;w.
引用
收藏
页数:18
相关论文
共 22 条
  • [21] Multi-algorithm fusion-based intelligent decision-making method for robotic belt grinding process parameters
    Xiang, Yingjian
    Lu, Xiaohui
    Cai, Deling
    Chen, Jiahao
    Bao, Chengle
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 132 (11-12): : 6053 - 6068
  • [22] Selection of Levels of Dressing Process Parameters by Using TOPSIS Technique for Surface Roughness of En-31 Work piece in CNC Cylindrical Grinding Machine
    Patil, Sanjay S.
    Bhalerao, Yogesh J.
    NATIONAL CONFERENCE ON PROCESSING AND CHARACTERIZATION OF MATERIALS (NCPCM), 2017, 178