A review on theories/methods to obtain surface topography and analysis of corresponding affecting factors in the milling process

Sun, Yuwen; Liu, Yang; Meng, Ziyan; Xu, Jizheng; Guo, Qiang

doi:10.1007/s00170-023-11723-4

Cited by 4 publications

(2 citation statements)

References 128 publications

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“…It was found that surface roughness (Ra) was achieved at 0.6 according to the desired Ra > 0.2 by optimum parameters of vc 300 m/min and vf 0.14 mm/tooth. Similar study can be found at [10]. Machining processes on the aluminium alloy are predominantly applied in the automotive industry such as the manufacturing of moulds and dies for producing automotive components.…”

Section: Introductionsupporting

confidence: 67%

Design Parameters Optimization in CNC Machining Based on Taguchi, ANOVA, and Screening Method

2023

JMechE

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Future manufacturing requires a process to achieve high productivity with high-quality products. Appropriate and optimum machining parameters during machining operation are essential to enhance the surface quality (Ra). This study investigated a design for machining parameter optimization to reduce time and cost with minimum experiments using the Taguchi method via the screening method. In this study, the machining parameters were the cut speed (vc), fed speed (vf), cut depth (doc), cut width (woc), and flute (z). The response analysed process was done on Aluminium alloy AA6061 via a high-speed computer numerical control machine (HSM) employing an end mill cutter in dry cutting. Analysis of Variance (ANOVA) of parameters combination applied during the process was used to analyse the results from data obtained and via the screening. Based on the result of ANOVA indicated that vf showed a greater F-value which meant vf had statistical significance for the terms and model. It was concluded that through the confirmation test, the optimal machining parameters vc at 220 rpm, vf at 150 mm/m, doc of 0.5 mm, woc at 4 mm, and z at 4 flutes, with Ra was around 0.122 - 0.127 which was achieved the requirement of standard for industries in polishing.

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Section: Introductionsupporting

confidence: 67%

Design Parameters Optimization in CNC Machining Based on Taguchi, ANOVA, and Screening Method

2023

JMechE

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“…He proposed a model that was able to predict the surface texture and roughness parameters with a 20% deviation of the correct answer. Extensive research in reviewing methods for obtaining surface topography as well as analyzing the various factors that affect the milling process was described by Sun in his study [54]. He analyzed the mechanism of machined surface topography and discussed the factors that influence it.…”

Section: Introductionmentioning

confidence: 99%

Surface Quality Evaluation in the Milling Process Using a Ball Nose End Mill

Varga,

Ižol,

Vrabeľ

et al. 2023

Applied Sciences

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Shaped surfaces are increasingly used in the field of mold-making for casting or injection molding, where future products include shapes with different curvatures. These are surfaces that form convex curves, concave curves, or a combination thereof. Given these machined surfaces, it is important to know the impact of the finishing strategies on these surfaces. This paper deals with the comparison of finishing milling strategies in the production of shaped surfaces and the analysis of different methods for the evaluation of surface topography. In addition, the experimental results evaluate the roughness of the machined surface and surface shape variations. The material used for the experiments was AlCu4Mg aluminum alloy, and Constant Z, spiral and spiral circle strategies were chosen for the finishing strategies. The evaluation of surface topography and surface roughness was carried out at three different specimen heights with respect to the tool’s contact with the machined surface.

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Prediction of surface topography for the five-axis bull-nose end milling of directional plexiglass considering tool runout and dynamic displacement

Chen,

Guo,

Yin

et al. 2024

Int J Adv Manuf Technol

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A review on theories/methods to obtain surface topography and analysis of corresponding affecting factors in the milling process

Cited by 4 publications

References 128 publications

Design Parameters Optimization in CNC Machining Based on Taguchi, ANOVA, and Screening Method

Design Parameters Optimization in CNC Machining Based on Taguchi, ANOVA, and Screening Method

Surface Quality Evaluation in the Milling Process Using a Ball Nose End Mill

Prediction of surface topography for the five-axis bull-nose end milling of directional plexiglass considering tool runout and dynamic displacement

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