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Multi-response Optimization of Hybrid Machining Processes Using Evaluation Based on Distance from Average Solution Method in Intuitionistic Fuzzy Environment

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Abstract

Hybrid non-traditional machining processes have established their dominance over the naive machining processes because of their ability to have better machining performance as compared with the individual constituent processes. However, efficiency of any machining process is supposed to be affected by the poor machining environment resulting in uncertain and vague performance measures. Hence, this paper contributes in finding out the optimal parametric mixes of two hybrid non-traditional machining processes, i.e. laser-assisted jet electrochemical machining and electrochemical discharge drilling processes using evaluation based on distance from average solution method while removing uncertainty and vagueness in the dataset under intuitionistic fuzzy environment. The derived optimal parametric mixes are then validated with the help of developed regression equations which indicate superiority of the adopted technique over the other popular optimization approaches. Analysis of variance results further help in singling out the most influential input parameters for the considered hybrid non-traditional machining processes. Finally, the corresponding surface plots are developed to assist the process engineers in selecting the most appropriate combination of process parameters for achieving the desired response values.

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Abbreviations

NTM:

Non-traditional machining

LBM:

Laser beam machining

ECM:

Electrochemical machining

EDM:

Electrical discharge machining

AJM:

Abrasive jet machining

WJM:

Water jet machining

ECDM:

Electrochemical discharge machining

LA-JECM:

Laser-assisted jet electrochemical machining

AWJM:

Abrasive water jet machining

TW-ECSM:

Travelling wire electrochemical spark machining

WEDM:

Wire electrical discharge machining

GRA:

Grey relational analysis

TOPSIS:

Technique for order of preference by similarity to ideal solution

PCA:

Principal component analysis

IFS:

Intuitionistic fuzzy sets

EDAS:

Evaluation based on distance from average solution

MCDM:

Multi-criteria decision-making

PDA:

Positive distance from average

NDA:

Negative distance from average

VIKOR:

VIseKriterijumska Optimizacija I Kompromisno Resenje

ECDD:

Electrochemical discharge drilling

RSM:

Response surface methodology

MRR:

Material removal rate

ROC:

Radial overcut

HAZ:

Heat-affected zone

SR:

Surface roughness

KW:

Kerf width

GA:

Genetic algorithm

ANOVA:

Analysis of variance

IAP:

Intuitionistic appraisal

DoF:

Degree of freedom

Adj MS:

Adjusted mean square

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Authors and Affiliations

  1. Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, Sikkim, India

    Partha Protim Das

  2. Department of Production Engineering, Jadavpur University, Kolkata, West Bengal, India

    Shankar Chakraborty

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  1. Partha Protim Das
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  2. Shankar Chakraborty
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Correspondence to Shankar Chakraborty.

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Das, P.P., Chakraborty, S. Multi-response Optimization of Hybrid Machining Processes Using Evaluation Based on Distance from Average Solution Method in Intuitionistic Fuzzy Environment. Process Integr Optim Sustain 4, 481–495 (2020). https://doi.org/10.1007/s41660-020-00135-6

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