Selection of optimal process parameters for minimizing burr size in drilling using Taguchi's quality loss function approach

Gaitonde, V. N.; Karnik, S.R.

doi:10.1590/s1678-58782012000300003

Cited by 15 publications

(9 citation statements)

References 15 publications

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“…The confidence interval (CI) is determined to evaluate the proximity of observed S/N ratio (

η_{obs}

) value with that of predicted value (

η_{opt}

) and is given by .

\pm CI = \sqrt{F (1, v_{e}) V_{e} true(\frac{1}{n_{eff}} + \frac{1}{n_{ver}} true)}

where

F_{(1, v_{e})}

is the value of F table at desired confidence level at degrees of freedom of 1 degrees of freedom of error,

V_{e}

is mean of square of error,

n_{eff} = \frac{N}{1 + v}

N

is the total trial number in orthogonal array,

v

is total of the degrees of freedom of

p

factors (

p

is number of main design parameter) and

n_{ver}

is the confirmatory test run number.…”

Section: Resultsmentioning

confidence: 99%

Optimization of operational parameters by Taguchi design for imidacloprid oxidation by microwave‐activated persulfate

Genç

Durna

2017

Env Prog and Sustain Energy

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In this study, imidacloprid oxidation by microwave‐activated persulfate was investigated. Imidacloprid was exposed to microwave (MW) irradiation at different persulfate concentration, power level, contact time, and pH. Reaction between imidacloprid and sulfate radical followed the secondary order kinetic model. Taguchi's robust design approach was used to optimize the imidacloprid oxidation. Experimentation was planned as per Taguchi's L9 orthogonal array. The optimum levels of control factors for maximum imidacloprid oxidation were defined (power at 700 W, contact time at 6 min, persulfate concentration at 0.129 g/L (power density 5.42 W/g oxidant), pH at 6.5). The analysis of variance analysis shown that the the most effective control factor is power, its contribution is 69.2%. A confirmation experiment was conducted to verify the feasibility and effectiveness of the optimal combination. The observed value of S/N (ηobs = 38.8) ratio is compared with that of the predicted value (ηopt = 45.4). The prediction error, that is, ηopt ‐ ηobs = 6.6, is within the confidence interval (CI) value. © 2017 American Institute of Chemical Engineers Environ Prog, 37: 1632–1637, 2018

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“…The confidence interval (CI) is determined to evaluate the proximity of observed S/N ratio (

η_{obs}

) value with that of predicted value (

η_{opt}

) and is given by .

\pm CI = \sqrt{F (1, v_{e}) V_{e} true(\frac{1}{n_{eff}} + \frac{1}{n_{ver}} true)}

where

F_{(1, v_{e})}

is the value of F table at desired confidence level at degrees of freedom of 1 degrees of freedom of error,

V_{e}

is mean of square of error,

n_{eff} = \frac{N}{1 + v}

N

is the total trial number in orthogonal array,

v

is total of the degrees of freedom of

p

factors (

p

is number of main design parameter) and

n_{ver}

is the confirmatory test run number.…”

Section: Resultsmentioning

confidence: 99%

Optimization of operational parameters by Taguchi design for imidacloprid oxidation by microwave‐activated persulfate

Genç

Durna

2017

Env Prog and Sustain Energy

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“…Dave et al (2012) proposed the application Taguchi loss function as a multi-response optimization tool for electro discharge machining (EDM) operation of Inconel 718 alloy. Gaitonde and Karnik (2012) employed Taguchi quality loss function approach to identify the best combination of cutting speed, feed, point angle and lip clearance angle for specified drill diameters to simultaneously minimize burr height and burr thickness during drilling of AISI 316L stainless steel work materials. Kumar and Kumari (2012) applied fuzzy logic and Taguchi quality loss function for modelling and simultaneous optimization of multiple performance characteristics, such as MRR and SR of polycrystalline diamond in an ultrasonic machining (USM) process.…”

Section: Literature Reviewmentioning

confidence: 99%

A multivariate quality loss function approach for parametric optimization of non-traditional machining processes

Chakraborty¹,

Das²

2018

10.5267/j.msl

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Due to various added advantages over the conventional material removal processes, non-traditional machining (NTM) processes have now been widely applied in different manufacturing industries. To achieve the desired response values, it is always recommended to operate these NTM processes at their optimal parametric settings. Various single response optimization techniques are already available to determine the optimal combinations of NTM process parameters for achieving maximum or minimum value of a single response. In this paper, a multivariate quality loss function approach is adopted for simultaneous optimization of responses for three NTM processes. It is observed that this approach outperforms the other multi-response optimization techniques, like desirability function, distance function and mean squared error methods with respect to the achieved response values. With modification of the corresponding objective function and constraints of the developed non-linear programming problem, it can be effectively applied to any non-traditional as well as conventional machining process as a multi-objective optimization tool.

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“…The following section provides a brief description along with mathematical formulations on the procedural steps of utility theory. The preliminaries of Taguchi philosophy, concept of quadratic quality loss function, signal-to-noise (S/N ratio) and the steps involved in Taguchi's optimization module could be well articulated from [8,20].…”

Section: Utility-based Taguchi Approachmentioning

confidence: 99%

An experimental investigation emphasizing surface characteristics of electro-discharge-machined Inconel 601

Upadhyay

Datta

Masanta

et al. 2016

J Braz. Soc. Mech. Sci. Eng.

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Selection of optimal process parameters for minimizing burr size in drilling using Taguchi's quality loss function approach

Cited by 15 publications

References 15 publications

Optimization of operational parameters by Taguchi design for imidacloprid oxidation by microwave‐activated persulfate

Optimization of operational parameters by Taguchi design for imidacloprid oxidation by microwave‐activated persulfate

A multivariate quality loss function approach for parametric optimization of non-traditional machining processes

An experimental investigation emphasizing surface characteristics of electro-discharge-machined Inconel 601

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