Study of vibrational surface topography measurement errors of LPBF Inconel 718 alloy after shot peening process
Artykuł w czasopiśmie
MNiSW
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| Status: | |
| Autorzy: | Podulka Przemysław, Rudawska Anna, Macek Wojciech |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2025 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Wolumen/Tom: | 243 |
| Numer artykułu: | 116434 |
| Strony: | 1 - 21 |
| Scopus® Cytowania: | 0 |
| Bazy: | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| A study of surface topography can provide valuable information on the product. Since the material finishing relies on the measured topography, the manufacturing process can be controlled by studying the roughness. The Laser Power Bed Fusion (LPBF) materials belong to the commonly used surfaces in the industry. Measuring this type of material with a contactless method can be found in many practical implementations. The white light interference method can be classified as one of the most encouraging surface topography measurement tech- niques in the last decade. Due to its fast application and data collection, it can be proposed for many demanding production processes. However, this measuring method is fraught with many errors, some caused by external environmental disturbances. One of them is a vibration, which can cause the occurrence of high-frequency measurement noise. This vibrational measuring noise can influence the ISO 25178 surface texture parameters significantly. It was found that the high-frequency noise distorted some surface topography parameters more than 100 %. In this study, the methodology of reduction of vibrational surface topography measurement noise was proposed using general functions and digital filters. Advantages of application of the proposed method against standardized, generally proposed S–filter were indicated. Finally, the new methodology was validated in terms of ISO 25178 surface texture parameters evaluation. |
