Pregled bibliografske jedinice broj: 1257050
IMPLEMENTATION OF NOISE REDUCTION TO ROUNDNESS MEASUREMENT IN CROATIAN NATIONAL LABORATORY FOR LENGTH
IMPLEMENTATION OF NOISE REDUCTION TO ROUNDNESS MEASUREMENT IN CROATIAN NATIONAL LABORATORY FOR LENGTH // MEKO TC11 & TC24 Joint Hybrid Conference Dubrovnik, Croatia, CONFERENCE PROCEEDINGS
Dubrovnik, Hrvatska, 2022. str. 35-39 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1257050 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
IMPLEMENTATION OF NOISE REDUCTION TO ROUNDNESS
MEASUREMENT IN CROATIAN NATIONAL LABORATORY FOR
LENGTH
Autori
Šimunović, Vedran ; Baršić, Gorana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
MEKO TC11 & TC24 Joint Hybrid Conference Dubrovnik, Croatia, CONFERENCE PROCEEDINGS
/ - , 2022, 35-39
Skup
IMEKO TC11 & TC24 Joint Hybrid Conference 2022
Mjesto i datum
Dubrovnik, Hrvatska, 17.10.2022. - 19.10.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
roundness measurement ; random noise bias reduction ; Fourier reduction ; random component exclusion
Sažetak
Measurement devices for form and roughness use the measurement probe that converts the displacement into an electrical signal. In addition to the form/roughness information, the measurement signal can contain undesirable noise due to mechanical, electrical, thermal, and other influences that can lead to an error in the measurement result. Given the growing demands to reduce measurement uncertainty, especially in the form and roughness measurement, noise is found to be a limiting factor. In 2019 the EMPIR project entitled Traceability for contact probe and stylus instrument measurements (18PRT01 ProbeTrace) was launched. The overall goal of this project is to develop traceable and cost-effective measurement capabilities for the calibration of form and surface roughness standards with uncertainties in the range of 10 nm to 100 nm. To achieve targeted uncertainties noise reduction software with numerical methods for random noise bias reduction must be developed to be used to pre-process roughness and form profile data. The novel method that will be investigated in the ProbeTrace project is based on Random Noise Bias Removal where only a few repeated measurements are needed to obtain unbiased results. Software based on random noise bias reduction will be presented in this paper along with the results of applied noise reduction to roundness measurement data in the Croatian National Laboratory for Length (FSB).
Izvorni jezik
Engleski