ArticleMaterials (Basel, Switzerland)2022
Influence of the Tool Cutting Edge Helix Angle on the Surface Roughness after Finish Milling of Magnesium Alloys.
Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- The Use of Artificial Neural Networks to Model Selected Strength Parameters of the Giant Miscanthus Stalk.Materials (Basel, Switzerland) · 2026Article
- Quality of Machined Surface and Cutting Force When Milling NiTi Alloys.Materials (Basel, Switzerland) · 2024Article
- Equivalent Heat Source Model of Thermal Relay Contact Based on Surface Roughness of Silver-Magnesium-Nickel Contact.Materials (Basel, Switzerland) · 2024Article
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4 authors.
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Abstract
This paper shows the surface quality results after finishing milling of AZ91D and AZ31 magnesium alloys. The study was performed for variable technological parameters: cutting speed, feed per tooth, axial depth of cut and radial depth of cut. The tools used in the study were two carbide cutters with a different tool cutting edge helix angle. The measurement of the research results presented the surface roughness parameters was made on the lateral faces and the end faces of the specimens. Statistical analysis and simulations using artificial neural networks were carried out with the Statistica software. The normality of the distribution was examined, and the hypotheses of the equality of mean values and variance were verified. For the AZ91D magnesium alloy on the lateral and the end faces (Ra, Rz parameters), simulations were carried out. Two types of ANN were used: MLP (Multi-layered perceptron) and RBF (Radial Basis Function). To increase the machining stability and to obtain a high surface finish, the more suitable tool for finishing milling is the tool with a helix angle of λ
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