Optimization of one direction tool path orientation for pocket milling of Ti-6Al-4V using taguchi based grey relational analysis

Santhakumar, J.; Iqbal, U. Mohammed; Prakash, M.

doi:10.1088/1757-899x/402/1/012166

Cited by 4 publications

(10 citation statements)

References 14 publications

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“…The milling process is the one important part of the conventional machining process, which can machine fine, rough, unsymmetrical, slot and curved surfaces by movement of the work part against a rotating multi-flute cutting tool. The machines used in the milling process can be classified as either vertical or horizontal machines [2,[6][7][8]11,16].…”

Section: Introductionmentioning

confidence: 99%

“…There are three main parameters (spindle speed, feed rate, and cut depth) found in any type of milling machine, as well as other parameters that influence the milling process such as (cutting tool and workpiece material), which can give the designer and worker (operator) flexibility to change, select, and control between them to achieve high quality, maximum productivity, and practical properties of the milling process [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, the Computer Numerical Control (CNC) system has been used to convert a manual milling machine into a full automation machine (CNC milling machine), which can control the movement of end mill cutter using coded (G and M) instructions processed by a computer and the capability to perform repeat tasks with high accuracy [2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…However, single objective methods such as Taguchi analysis have a minimal value in deciding the optimum cutting parameters as many distinct and incompatible objectives must be tailored at the same time. As a result, cutting parameter optimization has reported multiobjective methods that consider many distinct and conflicting objectives [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…For combining grey relational method and the Taguchi analysis, the grey-Taguchi method was developed. The grey-Taguchi approach has been used to effectively optimize the various output characteristics of complex manufacturing operations [1][2][3][4][5][6][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%