Investigation of drilling parameters on hybrid polymer composites using grey relational analysis, regression, fuzzy logic, and ANN models

In this paper, the optimization of surface roughness and recast layer thickness of a WEDM process of AISI D2 steel was investigated by using Taguchi method, grey relational analysis and fuzzy logic. The experiments were conducted under varying flushing pressure, on time, open voltage, off time and servo voltage. An orthogonal array, signal-to-noise (S/N) ratio, grey relational analysis, grey-fuzzy reasoning grade and analysis of variance were employed to the study of the multiple performance characteristics. Experimental results have shown that machining performance characteristics in WEDM process of AISI D2 steel can be improved effectively through the combination of Taguchi method, grey relational analysis and fuzzy logic.

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Multiple Performance Optimization in the Wire EDM Process of SKD61 Tool Steel Using Taguchi Grey Relational Analysis and Fuzzy Logic

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.493.523 ◽

2014 ◽

Vol 493 ◽

pp. 523-528 ◽

Cited By ~ 2

Author(s):

Nuraini Lusi ◽

Bobby Oedy Pramoedyo Soepangkat ◽

Bambang Pramujati ◽

H.C. Kis Agustin

Keyword(s):

Fuzzy Logic ◽

Taguchi Method ◽

Tool Steel ◽

Grey Relational Analysis ◽

Performance Characteristics ◽

Relational Analysis ◽

The Wire ◽

Grey Relational ◽

Wedm Process ◽

Different Levels

This paper propose the optimization of the wire electrical discharge machining (WEDM) process of SKD61 tool steel (AISI H13). The use of the Taguchi method combined with grey relational analysis and fuzzy logic has been applied for optimization of multiple quality characteristics. The WEDM machining parameters (arc on time, on time, open voltage, off time and servo voltage) were optimized with considerations of multiple performance characteristics, i.e., MRR, SR and kerf. Arc on time was set at two different levels while the other four were set at three different levels. Based on Taguchi method, an L18mixed-orthogonal array was chosen for the experiments. Experimental results have shown that machining performance characteristics of WEDM process can be improved effectively through the combination of Taguchi method and grey-fuzzy logic.

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Optimization of Drilling Parameters During Machining of Al-Mg-Si Alloys By Taguchi Method Coupled with Grey Relational Analysis and Validated By Fea Based Deform - 3D

Strojnícky casopis – Journal of Mechanical Engineering ◽

10.2478/scjme-2021-0032 ◽

2021 ◽

Vol 71 (2) ◽

pp. 221-238

Author(s):

Reddy Sreenivasulu ◽

Chalamalasetti Srinivasarao

Keyword(s):

Grey Relational Analysis ◽

Experimental Results ◽

Drilling Process ◽

Relational Analysis ◽

Five Factors ◽

Drilling Parameters ◽

Structural Assembly ◽

3D Software ◽

Grey Relational ◽

Deform 3D

Abstract In the present work to validate the experimental results as per Taguchi based grey relational analysis by considering L27 orthogonal array corresponding to five factors with three levels and obtained optimal combination of input parameters to minimize the output responses during drilling process which is most important finishing operation required in the structural assembly works where we found application of Al-Mg-Si alloys, Deform-3D software is implemented and found good feasibility with that of experimental results.

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