Optimization of CNC Turning Parameters on Aluminum Alloy 6063 using TaguchiRobust Design

Saravanakumar, A.; Karthikeyan, S.; Dhamotharan, B.; Kumar, Vidyanand

doi:10.1016/j.matpr.2017.11.520

Cited by 26 publications

(10 citation statements)

References 8 publications

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“…The surface roughness and tool vibration affecting input speed cut depth and feed rate were optimized and the best combinations were reported [ 23 ]. Taguchi's robust technique design was adopted to predict the optimum CNC turning parameters for aluminium alloy (AA 6063) machining with enhanced surface roughness [ 24 ]. Artificial neural network technique predicted the lifetime of manufacturing tools on machine learning for real-time industrial applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization and prediction of CBN tool life sustainability during AA1100 CNC turning by response surface methodology

Krishnan,

Prabagaran

et al. 2023

Heliyon

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Section: Literature Reviewmentioning

confidence: 99%

Optimization and prediction of CBN tool life sustainability during AA1100 CNC turning by response surface methodology

Krishnan,

Prabagaran

et al. 2023

Heliyon

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“…In our study, Taguchi design which allows using Response Surfaces Modelling (RSM) is opted and it is considered as a statistical method for modelling of problems in which different variables affect the desired response. It allows determining an appropriate approximation function representing the relationship between the response and independent variables [19,[39][40][41].…”

Section: Optimization Of the Grading Rings Parameters Based On Bat Al...mentioning

confidence: 99%

Grading ring parameters optimization for 220 kV metal‐oxide arrester using 3D‐FEM method and bat algorithm

Alti

Bayadi

Belhouchet

2020

IET Science Measure & Tech

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Aging of metal oxide surge arresters is mainly affected by the high electric stress near the high voltage electrode. It has been observed that the distribution of voltage and electric field along an arrester is non‐uniform. In this paper, the effect of grading ring geometrical parameters is investigated in order to achieve a more uniform electric field and voltage distribution. A 3D finite element method was employed based on COMSOL MULTIPHYSICS software to calculate these latter. The optimal design of grading ring is achieved by minimizing the electric field along the active column of varistors using a reduced number of simulations based on the Taguchi design and a bat algorithm. Initially, simulation results for a single grading ring were analysed. By using an optimal design of the single ring, the electric field is reduced by 42% in the top of the 220 kV metal oxide surge arrester and the voltage distribution can be improved. It was proposed to install an additional ring at the top of the metal oxide surge arrester. Simulation results shows that using of an optimal design of grading rings, the distribution of voltage and electric field along the surge arrester can be made as uniform as possible.

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“…Weighted aggregate sum product assessment (WASPAS) method was later adopted for parametric optimization of the considered process. While performing CNC turning operation on aluminum alloy, Saravanakumar et al [29] employed Taguchi method to determine the optimal settings of feed, speed and depth of cut to attain minimum values of SR and roundness error. Using RSM technique, Nataraj et al [30] orthogonal array was incorporated for conducting the experimental trials.…”

Section: Literature Surveymentioning

confidence: 99%

Decision Tree-based Parametric Analysis of a CNC Turning Process

Chakraborty¹,

Dandge²

2020

Scientia Iranica

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Computer numerical control (CNC) is a manufacturing concept where machine tools are automated to perform some predefined functions based on the instructions fed to them. CNC turning processes have found wide ranging applications in modern day manufacturing industries due to their capabilities to produce low cost high quality parts/components with very close dimensional tolerances. In order to exploit the fullest potential of a CNC turning process, it should always be operated while setting its different input parameters at their optimal levels. In this paper, two classification tree algorithms, i.e. classification and regression tree (CART) and Chi-squared automatic interaction detection (CHAID) are applied to study the effects of various turning parameters on the responses and identify the best machining conditions for a CNC process. It is perceived that the obtained settings almost match with the observations of the earlier researchers. The CART algorithm outperforms CHAID with respect to higher overall classification accuracy and lower prediction risk.

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Optimization of CNC Turning Parameters on Aluminum Alloy 6063 using TaguchiRobust Design

Cited by 26 publications

References 8 publications

Optimization and prediction of CBN tool life sustainability during AA1100 CNC turning by response surface methodology

Optimization and prediction of CBN tool life sustainability during AA1100 CNC turning by response surface methodology

Grading ring parameters optimization for 220 kV metal‐oxide arrester using 3D‐FEM method and bat algorithm

Decision Tree-based Parametric Analysis of a CNC Turning Process

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