Surface Quality in Milling of AZ91D Magnesium Alloy

Zagórski, Ireneusz; Korpysa, Jarosław

doi:10.12913/22998624/108547

Cited by 18 publications

(12 citation statements)

References 16 publications

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“…From Table 4, the roughness is observed to have been greatly influenced by feed rate, which is identified by researchers [5][6][7][8][9][10][11][12][13][14][15][16][18][19] in their study on AZ series alloys. For microhardness, the most significant parameter is observed to be the cutting speed.…”

Section: Signal To Noise Ratiomentioning

confidence: 79%

“…4 (a) and (b) respectively. The most influential factor (feed rate) on surface roughness showed an incremental trend, which means the roughness increased with increasing feed rate [5][6][7][8][9][13][14][15][16]19 . As feed increase, the material removal rate increases, which leads to an increase in friction at the tool-workpiece contact area resulting in high surface roughness [21][22] .…”

Section: Experimental Validationmentioning

confidence: 99%

“…µm at condition (v=40 m/min, f=0.1 mm/rev, a=0.5 mm) and in the studies using milling operation 9,[13][14][15][16]18,23,[33][34][35][36][37] , the lowest roughness value reported is 0.061 µm at condition (v = 900 m/min, f = 0.03 mm/z, a = 0.2 mm). In the present study, the lowest Ra value (0.067 µm) is observed at the combination of the highest speed and lowest feed condition (Exp.…”

Section: Experimental Validationmentioning

confidence: 99%

See 2 more Smart Citations

High Speed Machining for Enhancing the AZ91 Magnesium Alloy Surface Characteristics Influence and Optimisation of Machining Parameters

Marakini¹,

Pai²,

Kuruveri

et al. 2022

Def. Sc. J.

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In this study, optimum machining parameters are evaluated for enhancing the surface roughness and hardness of AZ91 alloy using Taguchi design of experiments with Grey Relational Analysis. Dry face milling is performed using cutting conditions determined using Taguchi L9 design and Grey Relational Analysis has been used for the optimization of multiple objectives. Taguchi’s signal-to-noise ratio analysis is also performed individually for both characteristics and grey relational grade to identify the most influential machining parameter affecting them. Further, Analysis of Variance is carried to see the contribution of factors on both surface roughness and hardness. Finally, the predicted trends obtained from the signal-to-noise ratio are validated using confirmation experiments. The study showed the effectiveness of Taguchi design combined with Grey Relational Analysis for the multi-objective problems such as surface characteristics studies.

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Section: Signal To Noise Ratiomentioning

confidence: 79%

Section: Experimental Validationmentioning

confidence: 99%

Section: Experimental Validationmentioning

confidence: 99%

See 1 more Smart Citation

High Speed Machining for Enhancing the AZ91 Magnesium Alloy Surface Characteristics Influence and Optimisation of Machining Parameters

Marakini¹,

Pai²,

Kuruveri

et al. 2022

Def. Sc. J.

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show abstract

“…Apart from technological parameters, the type of cutting tools is another factor that has the main impact on the obtained surface quality. Precision milling processes for different engineering materials are often conducted using tools made of cemented carbides [ 11 , 12 , 20 , 21 , 22 , 23 , 24 ] that are also very effective in conventional milling of magnesium alloys [ 25 ]. These tools are much cheaper than diamond cutters, and the use of fine-grained carbides enables the production of precise tools with equally low values of the cutting edge radius r n .…”

Section: Introductionmentioning

confidence: 99%

Dimensional Accuracy and Surface Quality of AZ91D Magnesium Alloy Components after Precision Milling

2021

Self Cite

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This study investigates a precision milling process conducted with the use of conventional end mills and a standard CNC (Computer Numerical Control) machine tool. Milling tests were performed on samples of AZ91D magnesium alloy using TiB2- and TiAlN-coated three-edge end mills measuring 16 mm in diameter. The following technological parameters were made variable: cutting speed, feed per tooth and axial depth of cut. The effects of precision milling were evaluated by analysing the scatter of dimension values obtained in successive tool passes. In addition to that, deviations from the assumed nominal depth as well as obtained ranges of dimension varation were analysed. The study also examined surface quality obtained in the precision milling process, based on the basic surface roughness parameters: Ra, Rz and RSm. Results have confirmed that the use of conventional cutting tools and a standard CNC machine tool makes it possible to manufacture components characterized by relatively small scatter of dimension values and high accuracy classes. Additionally, the results have shown that the type of tool coating and variations of individual technological parameters exert impact on the dimensional accuracy and surface quality obtained.

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“…The element surface quality after milling is one of the key factors. Many authors were raising the problem of machining strategy optimisation as regards the surface quality improvement [13,14,15,16,17,18,19].…”

Section: Introductionmentioning

confidence: 99%

Highly Efficient Milling on the Example of Selected Machining Strategies

Zaleski¹,

Matuszak²,

Zyśko³

2020

Adv. Sci. Technol. Res. J.

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The pursuit to achieve a broadly defined optimisation of the manufacturing processes imposes the use of the increasingly innovative machining methods. The increase of the machining efficiency, assuring a high surface quality as well as precision of dimensions and shapes, necessitates the search for new methods to meet the demanding requirements, apart from the development of materials used for the working parts of tools, wear-resistant coatings or improvement of the cutting tool point geometry. One of the methods to improve forming by machining is the optimisation of the machining strategy during the manufacture of the components having complex shapes. The progress in this field is particularly noticeable along with development of the software for machining on multi-axis machines. This article presents the results of tests for the impact of machining strategy on passive force, cutting torque, material removal rate, topography of the obtained surface and the shape of chip resulting from the aluminium alloy milling. The tests were performed by comparison of the classic strategy available in the NXCAM system to the iMachining technology.

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Surface Quality in Milling of AZ91D Magnesium Alloy

Cited by 18 publications

References 16 publications

High Speed Machining for Enhancing the AZ91 Magnesium Alloy Surface Characteristics Influence and Optimisation of Machining Parameters

High Speed Machining for Enhancing the AZ91 Magnesium Alloy Surface Characteristics Influence and Optimisation of Machining Parameters

Dimensional Accuracy and Surface Quality of AZ91D Magnesium Alloy Components after Precision Milling

Highly Efficient Milling on the Example of Selected Machining Strategies

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