The Effect of Process Parameters on Surface Finish of Metal Spun Parts

Sugar, Peter F.; Šugárová, Jana; Petrovič, Ján

doi:10.17559/tv-20150208190548

Cited by 1 publication

(1 citation statement)

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“…Alauddinel et al [21] presented a developed mathematical model for the stability of tools for machining steel for automatic milling using high cutting speeds in dry machining. In the paper [22], the authors presented results based on the ANOVA analysis of the surface roughness of parts made with multiprocessing. By analyzing literary sources, it can be noticed that there are not many works that applied ANN and Fuzzy logic to the experimental results obtained and compiled and analyzed using the Taguchi method and ANOVA analysis, all for the purpose of modeling and optimizing machining by milling.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Machining Parameters Using the Taguchi and ANOVA Analysis in the Face Milling of Aluminum Alloys AL7075

et al. 2020

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This paper examines the influence of the cutting parameters on the cutting forces and the surface roughness at the face milling process when machining aluminum alloy 7075 is obtained by the new SSM casting process. The parameters of the milling process are the cutting speed, the feed per tooth and the depth of cut. The experiments were performed according to the Taguchi method according to the L9 plan and the factors varied at three levels. For analysis of the effects of these parameters S/N ratio is used. In addition, ANOVA analysis was performed, i.e. analysis of the variance of the selected parameters. The analysis of the results shows that the optimal combination for the cutting force is the choice of a minimum level for all tested parameters. In contrast, for average arithmetic roughness, the optimal processing regime is achieved with minimum values for cutting speed and feed per tooth, whilst it is preferable to choose the cutting depth at the median level for the observed range. In addition, the study shows that the Taguchi method is suitable for solving the problem, where the research was carried out with a minimum number of tests compared to a full factorial experimental plan.

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Section: Introductionmentioning

confidence: 99%