Formation of Surface Topography During Turning of AISI 1045 Steel Considering the Type of Cutting Edge Coating

Szczotkarz, Natalia; Maruda, Radosław W.; Dębowski, Daniel; Leksycki, Kamil; Wojciechowski, Szymon; Khanna, Navneet; Królczyk, Grzegorz

doi:10.12913/22998624/141991

Cited by 11 publications

(3 citation statements)

References 45 publications

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“…Thanks to their multilayer structure, TiN-TiCN-AL 2 O 3 coatings have excellent wear resistance, and such coatings are preferred in rough machining, especially to machine steels [53,54]. Therefore, due to their high wear resistance, it is likely to obtain better roughness values at low depths of cut with cutting inserts coated with these materials.…”

Section: Findings and Discussionmentioning

confidence: 99%

Optimisation of cutting parameters in face milling of cryogenic treated 6061 aluminium alloy and effects on surface roughness, wear, and cutting temperatures

Bektaş¹,

Samtaş²

2022

Surf. Topogr.: Metrol. Prop.

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In addition to its usage in the defence industry, 6061 aluminium is prevalent in heavy industries like the aviation, shipbuilding and space industries. In this study, cryogenic processing was applied on the 6061-T651 aluminium alloy and the cutting inserts used, face milling procedures were carried out, and the effects of cutting parameters were examined. For the face milling procedure, cutting inserts with three different coatings (coated with TiN-TiCN-Al2O3 by CVD technique, coated with TiAlN-Nano by PVD technique, and coated with AlTiN by PVD technique), three different cutting speeds (250, 350 and 450 m/min) and three different feed rates (0.15, 0.30 and 0.45 mm/tooth) were used. The Taguchi method was used for experimental design and optimisation, and by selecting the Taguchi L9 (33) orthogonal array, nine experiments were carried out. Surface roughness and flank wear were measured after each experiment while cutting zone temperatures were measured during the experiments. The values obtained from the experiments were optimised and assessed with analysis of variance (ANOVA), three-dimensional plots, and the regression method. After the experiments, the lowest surface roughness, flank wear, and cutting temperatures were successfully optimised with the Taguchi method. The R2 values of the mathematical models for these three parameters were obtained as 100%.

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Section: Findings and Discussionmentioning

confidence: 99%

Optimisation of cutting parameters in face milling of cryogenic treated 6061 aluminium alloy and effects on surface roughness, wear, and cutting temperatures

Bektaş¹,

Samtaş²

2022

Surf. Topogr.: Metrol. Prop.

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“…However, it has been stated in the literature that good surface quality cannot be achieved with these coatings. Such coatings are usually preferred in rough machining [33,34]. In this study, cryogenic treatment was applied to a part of the cutting inserts.…”

Section: Findings and Discussionmentioning

confidence: 99%

Investigation of the effect of cutting parameters on the milling process of cryogenically treated aluminum alloy with cryogenically treated and untreated inserts, using the Taguchi and Gray Relational Analysis methods

Samtaş¹,

Bektaş²

2021

Surf. Topogr.: Metrol. Prop.

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The aluminum 6061 alloy is commonly employed in the automotive industry in the manufacture of rims, panels and even the chasses of vehicles and has excellent machinability. In this study, the surface of the cryogenically processed aluminum 6061-T651 alloy was milled using both untreated and cryogenically treated TiN-TiCN-Al2O3-coated cutting inserts. The Taguchi L18 orthogonal array was chosen as the experimental design. As the cutting parameters in the experiments, two different cutting inserts (untreated and cryogenically treated, TiN-TiCN-Al2O3-coated), three different cutting speeds (250, 350 and 450 m/min) and three different feed rates (0.15, 0.30 and 0.45 mm/rev) were used. After each experiment, the surface roughness and wear values of the cutting inserts were measured, the latter after repeating the experiment five times. Wear and roughness values were optimized using the Taguchi method. Additionally, Gray Relational Analysis (GRA) was used for the combined optimization of wear and roughness values. The optimized findings determined using Taguchi optimization for minimum surface roughness were the cryogenically treated cutting insert, 250 m/min cutting speed and 0.45 mm/rev feed rate. The optimized findings for wear were the cryogenically treated cutting insert, 350 m/min cutting speed and 0.30 mm/rev feed rate. In the optimization with GRA, the common optimum parameters for surface roughness and wear were the cryogenically treated cutting insert, 250 m/min cutting speed and 0.15 mm/rev feed rate. According to the Taguchi and GRA results, the cryogenically treated cutting inserts performed the best in terms of minimum wear and surface roughness. The Gray-based Taguchi methodology proposed in this study was found to be effective in solving the decision-making problem in multi-specific results as wear and surface roughness.

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“…The comparison revealed that the vision method provided precise and consistent results in comparison with the traditional stylus method. Szczotkarz et al [26] compared three types of coatings deposited with the PVD method on a sintered carbide insert (TiN, TiAlN and TiC). They showed that for the TiAlN coated insert, lower surface roughness was observed at lower cutting speeds and higher feeds, while for the TiC coated insert, higher cutting speeds lead to lower surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Surface Roughness Based on Turning Parameters and Insert Geometry

Vukelić¹,

Prica²,

Ivanov³

et al. 2022

Int. j. simul. model.

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This study is focused on dry longitudinal turning of AISI steel using CVD coated cutting inserts. The machining was conducted at different levels of cutting speed, feed, depth of cut, corner radius, rake, inclination and approach angles. Surface roughness was measured after each experiment, and statistical analysis was used to derive an empirical, regression model for arithmetical mean surface roughness. The regression model was used to theoretically minimize surface roughness, followed by additional verification experiments. The 95 % confidence interval constructed using ten additional batteries of experiments, contained the theoretically predicted minimum roughness of Ra = 0.238 μm. The mean absolute prediction error of the optimal roughness equals 0.006 μm. The results reveal practical applicability of the developed model.

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Formation of Surface Topography During Turning of AISI 1045 Steel Considering the Type of Cutting Edge Coating

Cited by 11 publications

References 45 publications

Optimisation of cutting parameters in face milling of cryogenic treated 6061 aluminium alloy and effects on surface roughness, wear, and cutting temperatures

Optimisation of cutting parameters in face milling of cryogenic treated 6061 aluminium alloy and effects on surface roughness, wear, and cutting temperatures

Investigation of the effect of cutting parameters on the milling process of cryogenically treated aluminum alloy with cryogenically treated and untreated inserts, using the Taguchi and Gray Relational Analysis methods

Optimization of Surface Roughness Based on Turning Parameters and Insert Geometry

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