Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method

Haleel, Aseel Jameel

doi:10.22153/kej.2018.12.001

Cited by 15 publications

(9 citation statements)

References 5 publications

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“…The roughness manipulation affects the quality of the mechanical and structural components, not only in the visual aspect, but also in the wear and lubrication behavior, friction coefficient, corrosion and fatigue resistance, heat transfer, load transmission, adhesion of coatings and light reflection [7][8][9] . Many tribological studies are being carried out to understand the influence of the machining process parameters, and if possible, manipulate them to obtain surfaces with satisfactory characteristics 10,11 .…”

Section: Introductionmentioning

confidence: 99%

“…In general, the arithmetic average parameter R a is the most used in industry and scientific studies, mainly in conventional machining processes. It is ideal to relate the effect of the cutting parameters with the surface finish, from the point of view of variations in height and depth of roughness 7,12,13 . Mathematically, the R a parameter represents the absolute average of all heights measured along the evaluation length.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of the effects of skewness Rsk and kurtosis Rku on tribological behavior in a pin-on-disc test of surfaces machined by conventional milling and turning processes

Dumont

Martins

et al. 2021

Mat. Res.

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Friction and wear are influenced by the surface conditions of the material, since there is deformation, segregation, generation of oxide films, among others. Roughness is an important characteristic in tribological studies, where the parameters of skewness and kurtosis have greater influence than the conventional parameters R a and R q. This study is aimed to investigate the influence of the parameters of skewness R sk and R ku kurtosis on the surface of the USI AR 360 steel machining by the milling and turning processes in the pin-on-disc sliding wear test. Results showed that surfaces with the same R a and R q could be distinguished by the skewness parameter. Different behaviors were observed in the analysis of friction curves, where the skewness effect showed a tendency to reduce the friction coefficient. It was also observed that the feed marks orientation in relation to the sliding direction can influence the tribological behavior of the surfaces.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigation of the effects of skewness Rsk and kurtosis Rku on tribological behavior in a pin-on-disc test of surfaces machined by conventional milling and turning processes

Dumont

Martins

et al. 2021

Mat. Res.

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show abstract

“…Nine tests have been performed and the work procedures have been presented in the flow chart as shown in figure 4. As seen in the Table (5), one parameter changed at three different levels in each test, while the other parameters remained unchanged [2,[4][5][6][7][8]11,[15][16][17][18].…”

Section: Experimental Design and Selection Of Cutting Parametersmentioning

confidence: 99%

Optimization of Cutting Parameters for Milling Process of (4032) Al-Alloy using Taguchi-Based Grey Relational Analysis

Hammood

2021

alkej

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The objective of this work is to study the influence of end milling cutting process parameters, tool material and geometry on multi-response outputs for 4032 Al-alloy. This can be done by proposing an approach that combines Taguchi method with grey relational analysis. Three cutting parameters have been selected (spindle speed, feed rate and cut depth) with three levels for each parameter. Three tools with different materials and geometry have been also used to design the experimental tests and runs based on matrix L9. The end milling process with several output characteristics is solved using a grey relational analysis. The results of analysis of variance (ANOVA) showed that the major influencing parameters on multi-objective response were spindle speed and cutting tool with contribution percentage (52.75%, 24%), respectively. In addition, the optimum combination of end milling process parameters was then validated by performing confirmation tests to determine the improvement in multi-response outputs. The confirmation tests obtained a minimum (surface roughness and micro-hardness) and maximum metal removal rate with grey relational grade of 0.784 and improvement percentage of 2.3%.

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“…Apart from the studies on aluminium alloy Al7075, Uddin et al [16] studied the drilling of Al6061 and concluded that the burr formation and roundness error were mainly affected by varying the feed rate. Haleel [17] worked on the optimization of process parameters using the Taguchi method for minimum surface roughness in the drilling process of Al5050. The results showed that tool diameter was the most significant factor that affected the surface roughness following the feed rate and cutting speed.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Hole Quality and Chips Formation in the Dry Drilling Process of Al7075-T6

Habib

Sharif

Hussain

et al. 2021

Metals

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Millions of holes are produced in many industries where efficient drilling is considered the key factor in their success. High-quality holes are possible with the proper selection of drilling process parameters, appropriate tools, and machine setup. This paper deals with the effects of drilling parameters such as spindle speed and feed rate on the chips analysis and the hole quality like surface roughness, hole size, circularity, and burr formation. Al7075-T6 alloy, commonly used in the aerospace industry, was used for the drilling process, and the dry drilling experiments were performed using high-speed steel drill bits. Results have shown that surface roughness decreased with the increase in spindle speed and increased with the increase in the feed rate. The hole size increased with the high spindle speed, whereas the impact of spindle speed on circularity error was found insignificant. Furthermore, short and segmented chips were achieved at a high feed rate and low spindle speed. The percentage contribution of each input parameter on the output drilling parameters was evaluated using analysis of variance (ANOVA).

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Optimization Drilling Parameters of Aluminum Alloy Based on Taguchi Method

Cited by 15 publications

References 5 publications

Investigation of the effects of skewness Rsk and kurtosis Rku on tribological behavior in a pin-on-disc test of surfaces machined by conventional milling and turning processes

Investigation of the effects of skewness Rsk and kurtosis Rku on tribological behavior in a pin-on-disc test of surfaces machined by conventional milling and turning processes

Optimization of Cutting Parameters for Milling Process of (4032) Al-Alloy using Taguchi-Based Grey Relational Analysis

Analysis of Hole Quality and Chips Formation in the Dry Drilling Process of Al7075-T6

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