Applying a 6 DoF Robotic Arm and Digital Twin to Automate Fan-Blade Reconditioning for Aerospace Maintenance, Repair, and Overhaul

被引:55
作者
Oyekan, John [1 ]
Farnsworth, Michael [1 ]
Hutabarat, Windo [1 ]
Miller, David [1 ]
Tiwari, Ashutosh [1 ]
机构
[1] Univ Sheffield, Fac Engn, Dept Automat Control & Syst Engn ACSE, Sheffield S10 2TN, S Yorkshire, England
基金
英国工程与自然科学研究理事会; “创新英国”项目;
关键词
Industry; 4; 0; automation; digital twin; analytics; computer vision; CUT;
D O I
10.3390/s20164637
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The UK is home to several major air commercial and transport hubs. As a result, there is a high demand for Maintenance, Repair, and Overhaul (MRO) services to ensure that fleets of aircraft are in airworthy conditions. MRO services currently involve heavy manual labor. This creates bottlenecks, low repeatability, and low productivity. Presented in this paper is an investigation to create an automation cell for the fan-blade reconditioning component of MRO. The design and prototype of the automation cell is presented. Furthermore, a digital twin of the grinding process is developed and used as a tool to explore the required grinding force parameters needed to effectively remove surface material. An integration of a 6-DoF industrial robot with an end-effector grinder and a computer vision system was undertaken. The computer vision system was used for the digitization of the fan-blade surface as well as tracking and guidance of material removal. Our findings reveal that our proposed system can perform material removal, track the state of the fan blade during the reconditioning process and do so within a closed-loop automated robotic work cell.
引用
收藏
页码:1 / 20
页数:20
相关论文
共 32 条
[1]  
Aldoma A, 2012, LECT NOTES COMPUT SC, V7574, P511, DOI 10.1007/978-3-642-33712-3_37
[2]   Risk factors for musculoskeletal injuries in airline maintenance, repair & overhaul [J].
Asadi, Hamed ;
Yu, Denny ;
Mott, John H. .
INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2019, 70 :107-115
[3]   Workpiece surface integrity of Ti-6-4 heat-resistant alloy when employing different polishing methods [J].
Axinte, D. A. ;
Kwong, J. ;
Kong, M. C. .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (04) :1843-1852
[4]   Autonomous Structural Visual Inspection Using Region-Based Deep Learning for Detecting Multiple Damage Types [J].
Cha, Young-Jin ;
Choi, Wooram ;
Suh, Gahyun ;
Mahmoudkhani, Sadegh ;
Buyukozturk, Oral .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2018, 33 (09) :731-747
[5]   Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks [J].
Cha, Young-Jin ;
Choi, Wooram ;
Buyukozturk, Oral .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2017, 32 (05) :361-378
[6]   Robotic grinding of a blisk with two degrees of freedom contact force control [J].
Chen, Fan ;
Zhao, Huan ;
Li, Dingwei ;
Chen, Lin ;
Tan, Chao ;
Ding, Han .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 101 (1-4) :461-474
[7]   Application of sustainable techniques in metal cutting for enhanced machinability: a review [J].
Chetan ;
Ghosh, Sudarsan ;
Rao, P. Venkateswara .
JOURNAL OF CLEANER PRODUCTION, 2015, 100 :17-34
[8]   Human-robot-environment interaction interface for robotic grit-blasting of complex steel bridges [J].
Chotiprayanakul, P. ;
Liu, D. K. ;
Dissanayake, G. .
AUTOMATION IN CONSTRUCTION, 2012, 27 :11-23
[9]   Effect of Manual Grinding Operations on Surface Integrity [J].
Das, Jayanti ;
Linke, Barbara .
3RD CIRP CONFERENCE ON SURFACE INTEGRITY, 2016, 45 :95-98
[10]   Augmented reality based approach for on-line quality assessment of polished surfaces [J].
Ferraguti, Federica ;
Pini, Fabio ;
Gale, Thomas ;
Messmer, Franck ;
Storchi, Chiara ;
Leali, Francesco ;
Fantuzzi, Cesare .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2019, 59 :158-167