Roughness parameters with statistical analysis and modelling using artificial neural networks after finish milling of magnesium alloys with different edge helix angle tools

Zagorski, Ireneusz (avtor), Kulisz, Monika (avtor), Szczepaniak, Anna (avtor)

The paper presents the results of a study investigating the roughness parameters Rq, Rt, Rv, and Rp of finished-milled magnesium alloys AZ91D and AZ31B. Carbide end mills with varying edge helix angles were used in the study. Statistical analysis was additionally performed for selected machining conditions. In addition, modelling of selected roughness parameters on the end face for the AZ91D alloy was carried out using artificial neural networks. Results have shown that the tool with λs = 20° is more suitable for the finish milling of magnesium alloys because its use leads to a significant reduction in surface roughness parameters with increased cutting speed. Increased feed per tooth leads to increased surface roughness parameters. Both radial and axial depth of cut has an insignificant effect on surface roughness parameters. It has been proven that finish milling is an effective finishing treatment for magnesium alloys. In addition, it was shown that artificial neural networks are a good tool for the prediction of selected surface roughness parameters after finishing milling of the magnesium alloy AZ91D.

• Jezik: Angleški jezik
• Ključne besede: magnesium alloys, finish milling, roughness, surface quality, statistical analysis, artificial neural networks
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FS - Fakulteta za strojništvo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2024
• Št. strani: Str. 27-41
• Številčenje: Vol. 70, no. 1/2
• PID: 20.500.12556/RUL-154755
• UDK: 620.1
• ISSN pri članku: 0039-2480
• DOI: 10.5545/sv-jme.2023.596
• COBISS.SI-ID: 187155203
• Datum objave v RUL: 29.02.2024

Gradivo je del revije

• Naslov: Strojniški vestnik
• Skrajšan naslov: Stroj. vestn.
• Založnik: Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.
• ISSN: 0039-2480
• COBISS.SI-ID: 762116

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Uporaba statistične analize in modeliranja za določitev parametrov hrapavosti po končni obdelavi magnezijevih zlitin z orodji z variabilnim kotom vijačnice
• Ključne besede: magnezijeve zlitine, končna obdelava, hrapavost, kakovost površin, statistična analiza, umetne nevronske mreže

Projekti

• Financer: Drugi - Drug financer ali več financerjev
• Številka projekta: FD-20/IM5/138

• Financer: Drugi - Drug financer ali več financerjev
• Številka projekta: FD-20/IM-5/061