The Effect of Abrasive Waterjet Machining Parameters on the Condition of Al-Si Alloy
Artykuł w czasopiśmie
MNiSW
140
Lista 2021
| Status: | |
| Autorzy: | Kulisz Monika, Zagórski Ireneusz, Korpysa Jarosław |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2020 |
| Wersja dokumentu: | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | 14 |
| Wolumen/Tom: | 13 |
| Numer artykułu: | 3122 |
| Strony: | 1 - 22 |
| Web of Science® Times Cited: | 12 |
| Scopus® Cytowania: | 14 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Finansowanie: | The project/research was financed in the framework of the project Lublin University of Technology-Regional Excellence Initiative, funded by the Polish Ministry of Science and Higher Education (contract no. 030/RID/2018/19). |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 13 lipca 2020 |
| Abstrakty: | angielski |
| This paper analyses the effect of the abrasive waterjet cutting parameters’ modificationon the condition of the workpiece surface layer. The post-machined surface of casting aluminiumalloys, AlSi10Mg and AlSi21CuNi, was characterised in terms of surface roughness and irregularities,chamfering, and microhardness in order to reveal the effect that variable jet feed rate, abrasiveflow rate, and sample height (thickness of the cut material) have on the quality of surface finish.From the analysis of the results, it emerges that the surface roughness remains largely unaffectedby changes in the sample height h or the abrasive flow rate ma, whereas it is highly susceptibleto the increase in the jet feed rate vf. It has been shown that, in principle, the machining does notproduce the strengthening effect, that is, an increase in microhardness. Owing to the irregularitiesthat are typically found on the workpieces cut with higher jet feed rates vf, additional surface finishoperations may prove necessary. In addition, chamfering was found to occur throughout the entirerange of speeds vf. The statistical significance of individual variables on the 2D surface roughnessparameters, Ra/Rz/RSm, was determined using factorial analysis of variance (ANOVA). The resultswere verified by means of artificial neural network (ANN) modelling (radial basis function andmulti-layered perceptron), which was employed to predict the surface roughness parameters underconsideration. The obtained correlation coefficients show that ANNs exhibit satisfying predictivecapacity, and are thus a suitable tool for the prediction of surface roughness parameters in abrasivewaterjet (AWJ) technology. |
