Application of a 3D Scanner in Robotic Measurement of Aviation Components
The aviation industry is associated with high precision and accuracy standards of the manufactured components, and thus the need to ensure precise quality control. Measurement processes, depending on the manufactured components, take place before, during and after the processing stage. Optical scann...
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| Veröffentlicht in: | Electronics (Basel) Jg. 11; H. 19; S. 3216 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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MDPI AG
01.10.2022
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| ISSN: | 2079-9292, 2079-9292 |
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| Abstract | The aviation industry is associated with high precision and accuracy standards of the manufactured components, and thus the need to ensure precise quality control. Measurement processes, depending on the manufactured components, take place before, during and after the processing stage. Optical scanners can be used for these measurements, the measurement results of which can be displayed on the operator panel or used to prepare a report. The innovative approach is to measure, compare the results with a pattern, send the deviations to a neural decision-making system, select the forces and send the results to a robot controller for adaptive machining. The presented proprietary solution includes a data acquisition system, a neural decision-making system and a robot that carries out the machining process via force control. The proposed solution was verified on aviation components. During the process parameter optimization stage for the diffuser and ADT gearbox, the points describing the change in width of the chamfer being performed and the blade thickness in the control sections were approximated. |
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| AbstractList | The aviation industry is associated with high precision and accuracy standards of the manufactured components, and thus the need to ensure precise quality control. Measurement processes, depending on the manufactured components, take place before, during and after the processing stage. Optical scanners can be used for these measurements, the measurement results of which can be displayed on the operator panel or used to prepare a report. The innovative approach is to measure, compare the results with a pattern, send the deviations to a neural decision-making system, select the forces and send the results to a robot controller for adaptive machining. The presented proprietary solution includes a data acquisition system, a neural decision-making system and a robot that carries out the machining process via force control. The proposed solution was verified on aviation components. During the process parameter optimization stage for the diffuser and ADT gearbox, the points describing the change in width of the chamfer being performed and the blade thickness in the control sections were approximated. |
| Audience | Academic |
| Author | Burghardt, Andrzej Gierlak, Piotr Uliasz, Marek Szybicki, Dariusz Ornat, Artur Kurc, Krzysztof Muszyńska, Magdalena |
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| Cites_doi | 10.1016/S0924-0136(99)00338-6 10.1016/j.rcim.2009.07.001 10.4028/www.scientific.net/AMM.159.351 10.1515/eng-2017-0008 10.1109/TMECH.2016.2574813 10.1109/MEC.2011.6025740 10.3390/app9194094 10.1007/s10845-011-0508-6 10.3901/CJME.2013.05.988 10.24425/ame.2019.126374 10.3390/s22093457 10.3390/s20247053 10.1016/S0007-8506(07)61111-1 10.1007/s00170-016-8891-y 10.1109/TIE.2003.812286 10.1109/ICACTE.2008.99 10.1109/ICCEE.2008.45 10.1007/978-1-4302-5855-1 10.1177/0954405414521190 10.3390/s21144852 10.1109/JSEN.2015.2497363 10.1109/TMECH.2010.2102047 10.2478/mme-2020-0003 10.12913/22998624/68466 |
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| References | Kurc (ref_32) 2020; 24 Li (ref_15) 2016; 21 Song (ref_4) 2012; 23 ref_11 ref_33 ref_10 ref_31 Xun (ref_30) 2014; 228 Burghardt (ref_13) 2017; 7 Jiang (ref_5) 2012; 159 Mizugaki (ref_20) 1990; 39 Tam (ref_22) 1999; 95 ref_19 ref_18 Burghardt (ref_14) 2017; 11 Piotrowski (ref_16) 2016; 12 ref_17 Sun (ref_24) 2015; 16 Burghardt (ref_37) 2022; 29 Yixu (ref_34) 2011; 17 Zhsao (ref_35) 2013; 26 Xiao (ref_36) 2017; 88 Danilczuk (ref_3) 2017; 18 Yilmaz (ref_26) 2010; 26 ref_25 ref_23 Szybicki (ref_27) 2019; 66 ref_1 Sempere (ref_9) 2003; 50 ref_2 ref_29 ref_28 (ref_21) 2010; 5 ref_8 Burghardt (ref_12) 2017; 24 ref_7 ref_6 |
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| SubjectTerms | Accuracy Aircraft components Airplanes Analysis Aviation Chamfering Communication Control algorithms Cultural heritage Data acquisition Decision making Diffusers Equipment and supplies Gas turbine engines Gearboxes Grinding tools Lasers Machining Mathematical optimization Measurement techniques Methods Optical scanners Optimization Process parameters Protocol Quality control Robotics Robots Scanners Scanning devices Software |
| Title | Application of a 3D Scanner in Robotic Measurement of Aviation Components |
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