A novel approach to using artificial intelligence in coordinate metrology including nano scale

被引:12
|
作者
Wieczorowski, Michal [1 ]
Kucharski, Dawid [1 ]
Sniatala, Pawel [2 ]
Pawlus, Pawel [3 ]
Krolczyk, Grzegorz [4 ]
Gapinski, Bartosz [1 ]
机构
[1] Poznan Univ Tech, Inst Mech Technol, Fac Mech Engn, Piotrowo 3, PL-60965 Poznan, Poland
[2] Poznan Univ Tech, Fac Comp & Telecommun, Piotrowo 3, PL-60965 Poznan, Poland
[3] Rzeszow Univ Technol, Fac Mech Engn & Aeronaut, Dept Mfg Proc & Prod Engn, Powstancow Warszawy 8, PL-35959 Rzeszow, Poland
[4] Opole Univ Technol, Fac Mech Engn, Proszkowska 76, PL-45758 Opole, Poland
关键词
Artificial intelligence; Metrology; Scale; Scanning; Nano; COMPUTED-TOMOGRAPHY; NEURAL-NETWORKS; SURFACE; EXTRACTION; SYSTEM;
D O I
10.1016/j.measurement.2023.113051
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The applications of modern length and angle metrology continue to pose new challenges for manufacturers and operators of measuring equipment, starting from nano scale. One method to support measurement processes is the use of artificial intelligence. As an essential part of Industry 4.0 and Metrology 4.0 strategies, it actively supports humans in executing measurement activities. The use of artificial intelligence in this area is determined by technological and social factors, as the shortage of highly skilled operators is becoming increasingly acute. The paper discusses the possibilities of using artificial intelligence in coordinate metrology. Ideas including the selection of the measurement strategy, conditions, filtering techniques, as well as self-verification or even selfcalibration were presented. Schemes of procedures using local and global databases of applications and measuring instruments are presented. A new area application in the analysis of interference fringes is shown, with method descriptions and experimental results.
引用
收藏
页数:11
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