Application of grey-fuzzy logic technique for parametric optimization of non-traditional machining processes

Chakraborty, Shankar; Das, Partha Protim; Kumar, Vidyapati

doi:10.1108/gs-08-2017-0028

Cited by 37 publications

(24 citation statements)

References 25 publications

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“…There are several mathematical tools and techniques that have been effectively deployed for identifying the optimal parametric levels for the LBC process. Among them, grey relational analysis (GRA) coupled with fuzzy logic (FL) has become quite popular due to its sound mathematical basis, ease to implement and apprehensiveness for multi-objective optimization of advanced sheet cutting processes [39]. The proposed approach can be applied to various machining processes for their parametric optimization for achieving better results in the leading manufacturing industries.…”

Section: Resultsmentioning

confidence: 99%

Optimization of process parameters during laser beam cutting of Ni-based superalloy thin sheet along curved profile using grey-fuzzy methodology

Joshi

Sharma

2018

J Braz. Soc. Mech. Sci. Eng.

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Nickel-based superalloys are widely used in the aircraft and nuclear reactor industries due to their high strength-to-weight ratio and corrosion resistance properties at elevated temperatures. Typical applications of these superalloys demand technologically advanced cutting processes to create intricate shapes in macro-and microfeature sizes with exceptional good quality. These objectives can be obtained using laser beam cutting process. In this paper, multiple laser cut quality characteristics (i.e. top kerf deviation, bottom kerf deviation and kerf taper) are optimized simultaneously using grey relational analysis coupled with fuzzy logic during pulsed Nd-YAG laser cutting of thin Ni-based superalloy sheet. These laser cut characteristics are the functions of four laser cutting parameters, namely: lamp current, pulse width, pulse frequency and cutting speed where lamp current is considered as a new cutting parameter. The different values of lamp current are utilized to find the different levels of pumping energy which is further utilized to generate the laser energy. Further, laser cut results have been obtained by performing the experiments using Box-Behnken design (BBD). The results have been analysed using grey-fuzzy method to predict the optimum level of cutting parameters. The application of greyfuzzy is capable to reduce the top kerf deviation, bottom kerf deviation and kerf taper in laser cut kerf by 47.69, 25.96 and 7.59%, respectively.

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Section: Resultsmentioning

confidence: 99%

Optimization of process parameters during laser beam cutting of Ni-based superalloy thin sheet along curved profile using grey-fuzzy methodology

Joshi

Sharma

2018

J Braz. Soc. Mech. Sci. Eng.

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“…Considering servo voltage, wire tension, pulse-on time and pulse-off time as the input parameters of a WEDM process, Das et al [34] applied a hybrid grey-fuzzy approach to optimize MRR and SR values of the said process. Chakraborty et al [35] combined GRA technique with fuzzy logic to achieve the best parametric mixes for AWJM, ECM and USM processes.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of grey correlation-based EDAS method for parametric optimization of non-traditional machining processes

Das

Chakraborty

2020

Scientia Iranica

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Higher dimensional accuracy along with better surface finish of various advanced engineering materials has turned out to be the prime desideratum for the present day manufacturing industries. To achieve this, non-traditional machining (NTM) processes have become quite popular because of their ability to produce intricate shape geometries on diverse difficult-to-machine materials. To allow these processes to operate at their fullest capability, it is often recommended to set their different input parameters at the optimal levels. Thus, in this paper, a new technique combining grey correlation method and evaluation based on distance from average solution is applied for simultaneous optimization of three NTM processes, i.e. photochemical machining process, laserassisted jet electrochemical machining process and abrasive water jet drilling process. The derived optimal parametric combinations outperform those as identified by the other popular multi-objective optimization techniques with respect to the considered response values. The results of analysis of variance also identify the most influencing parameters for the said NTM processes. Finally, the developed surface plots would help the process engineers in investigating the effects of different NTM process parameters on the corresponding grey appraisal scores.

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“…Pulse-on time, servo voltage, pulse-off time, peak current, wire feed rate and cable tension were considered as the process parameters, and Ra, overcut and MRR were the responses. Chakraborty et al [6] adopted GRA technique along with fuzzy logic approach to solve three multiobjective optimization problems for determining the optimal parametric settings of abrasive water-jet machining, ECM and USM processes. Also, Chakraborty et al [7] introduced a multivariate quality loss function approach in parametric optimization of three NTM process and showed that the proposed approach outperforms other multi-response optimization techniques, like desirability function, distance function and mean squared error methods.…”

Section: Literature Reviewmentioning

confidence: 99%

Parametric optimization of non-traditional machining processes using Taguchi method and super ranking concept

Protim

Chakraborty

2019

YUGOSLAV J OPERATION

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In order to achieve higher dimensional accuracy along with better surface quality, the conventional machining processes have now-a-days being replaced by nontraditional machining (NTM) processes, because of their ability to generate intricate shape geometries on various advanced engineering materials. In order to exploit their fullest machining potential, it is often recommended to operate those NTM processes at their optimal parametric settings. Several optimization tools and techniques are now available which can be effectively applied to obtain the optimal parametric conditions of those processes. In this paper, Taguchi method and super ranking concept are integrated together to present an efficient optimization technique for simultaneous optimization of three NTM processes, i.e. electro-discharge machining process, wire electro-discharge machining process and electro-chemical discharge drilling process. The derived results are validated with the help of developed regression equations, which show that the proposed approach outperforms the other popular multi-response optimization techniques. Analysis of variance is also performed to identify the most influencing control parameters for the considered NTM processes. The developed response surface plots further help the process engineers in identifying the effects of various NTM process parameters on the calculated sum of squared rank values.

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Application of grey-fuzzy logic technique for parametric optimization of non-traditional machining processes

Cited by 37 publications

References 25 publications

Optimization of process parameters during laser beam cutting of Ni-based superalloy thin sheet along curved profile using grey-fuzzy methodology

Optimization of process parameters during laser beam cutting of Ni-based superalloy thin sheet along curved profile using grey-fuzzy methodology

Application of grey correlation-based EDAS method for parametric optimization of non-traditional machining processes

Parametric optimization of non-traditional machining processes using Taguchi method and super ranking concept

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