Optimization of Multiple Characteristics of EDM Parameters Based on Desirability Approach and Fuzzy Modeling

Sengottuvel, P.; Satishkumar, S.; Dinakaran, D.

doi:10.1016/j.proeng.2013.09.185

Cited by 77 publications

(30 citation statements)

References 13 publications

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“…Optimization techniques such as design of experiments [9], response surface methodology [10][11][12], fuzzy control system [13][14][15][16][17], genetic algorithm [18] and grey relational analysis [19] are the inevitable tool in achieving optimum process parameters of the wire EDM process. A similar kind of evaluation has also been performed by many researchers on various materials like Inconel [20,21], AISI D2 [22,23], titanium and titanium super alloys [24][25][26][27], etc. Based on the evaluation of those research papers on wire EDM, it has been seen that different attempts are made on the investigations of predicting the effect of process parameters on various conductive materials for achieving maximum material removal rate (MRR), minimum surface roughness (Ra) and wire wear ratio (WWR) on wire EDM and they were found useful.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation and prediction of optimum process parameters of micro-wire-cut EDM of 2205 DSS

Rajmohan¹,

Kumar²

2016

Int J Adv Manuf Technol

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Micro-wire-cut electrode discharge machining (EDM) is an emerging manufacturing process in the field of micro-manufacturing to fabricate the complex profiles of micro-components. It is a complex process involving various process parameters such as pulse on time, pulse off time, wire speed, wire tension and current. In addition to micro-fabrication, this process can also be extended in the field of tool design and developments such as dies, moulds, precision manufacturing, contour cutting, etc., where complex shapes need to be generated with high-grade dimensional accuracy and surface finish. In this research work, an attempt is made to investigate the effect of process parameters on the output variables such as material removal rate (MRR), surface finish and the cutting width (kerf) of wire-cut EDM for duplex stainless steel (DSS). Scanning electron microscopy (SEM) has been used to capture the images of the kerf width, and the measurements are taken with the help of the welding expert system and software. An optimization technique (Taguchi method) has been employed to identify the optimum parameters of the micro-wire-cut EDM process for cutting 2205 grade duplex stainless steel. The effect of each control parameter on the performance measure is studied individually using the plots of signal to noise ratio.

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Section: Introductionmentioning

confidence: 99%

Experimental investigation and prediction of optimum process parameters of micro-wire-cut EDM of 2205 DSS

Rajmohan¹,

Kumar²

2016

Int J Adv Manuf Technol

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“…Many researchers have led their hands in reaching out an optimality to get better access to [107,108] the machine tool. To this aspect, optimization techniques such as the Taguchi analysis [109], Grey relational model [110], Response Surface Methodology [111][112][113][114][115], Particle Swarm optimization [116], etc. were used by researchers.…”

Section: Optimization Techniques Used In Edmmentioning

confidence: 99%

“…Padhee, Nayak [4] carried out a comparative study of the electrode performances by the desirability approach and ANNOVA using Fuzzy model in EDM and found that current was the most influencing factor followed by the pulse-on-time and pulse-off-time. Sengottuvel, Satishkumar [111] presented a model and analysed the rapidly resolidified layer of spheroidal graphite (SG) cast iron in the EDM process using the RSM approach. The results of ANNOVA indicated that the quantity and area fraction of the graphite particle are the most influential factors on the rapidly resolidified layer thickness and ridge density in EDM process.…”

Section: Optimization Techniques Used In Edmmentioning

confidence: 99%

A review on machining of metal matrix composites using nanoparticle mixed dielectric in electro-discharge machining

Mohanty¹,

Routara²

2016

Int. J. Automot. Mech. Eng.

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The growth in the new advanced materials that are harder till date have led to the improvement of technologies used to machine them. Nowadays, new materials have been developed to be used in different sectors where lighter and harder materials are in vast requirement. Moreover, materials machined with high precision machine tools have to provide the greatest surface finish such that it catches the pace with other competitive materials. Research has shown that the electro-discharge machining (EDM) is the only machine tool that has created history in machining hard materials. In the recent years, metal matrix composites (MMCs) have an increasing demand in the industries since they are hard materials to machine and a good finish is required in the aerospace, marine, aircraft, nuclear and other similar industries. Thus, EDM has gained fame in machining MMCs. With due course, the powder mixed electro-discharge machining (PMEDM) has created efficient EDM, with the use of powders in the dielectric. The dielectric mixed EDM has been used for efficient material removal rate (MRR). With the change in technologies, the sizes of powders that have to be added in the dielectric fluid go on decreasing. In this review, studies by numerous researchers on the MMCs that are machined with the use of PMEDM are mentioned. The powders used in the experimentation are of nano size. Furthermore, the optimization technique used by the researchers is discussed in the present study.

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“…By taking the max-min compositional operation, the fuzzy reasoning of these rules yields a fuzzy output. Assuming that y 1 , y 2 and y 3 are the three input values of the fuzzy logic unit, the membership function of the output of fuzzy reasoning can be expressed as [14,16,17]:…”

Section: Multi Response Optimization Using Taguchi Coupled Fuzzy Logicmentioning

confidence: 99%

Optimization of Surface Roughness Parameters of Al-6351 Alloy in EDC Process: A Taguchi Coupled Fuzzy Logic Approach

Kar

Chakraborty

Dey

et al. 2016

J. Inst. Eng. India Ser. C

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This paper investigates the application of Taguchi method with fuzzy logic for multi objective optimization of roughness parameters in electro discharge coating process of Al-6351 alloy with powder metallurgical compacted SiC/Cu tool. A Taguchi L16 orthogonal array was employed to investigate the roughness parameters by varying tool parameters like composition and compaction load and electro discharge machining parameters like pulse-on time and peak current. Crucial roughness parameters like Centre line average roughness, Average maximum height of the profile and Mean spacing of local peaks of the profile were measured on the coated specimen. The signal to noise ratios were fuzzified to optimize the roughness parameters through a single comprehensive output measure (COM). Best COM obtained with lower values of compaction load, pulse-on time and current and 30:70 (SiC:Cu) composition of tool. Analysis of variance is carried out and a significant COM model is observed with peak current yielding highest contribution followed by pulse-on time, compaction load and composition. The deposited layer is characterised by X-Ray Diffraction analysis which confirmed the presence of tool materials on the work piece surface.

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Optimization of Multiple Characteristics of EDM Parameters Based on Desirability Approach and Fuzzy Modeling

Cited by 77 publications

References 13 publications

Experimental investigation and prediction of optimum process parameters of micro-wire-cut EDM of 2205 DSS

Experimental investigation and prediction of optimum process parameters of micro-wire-cut EDM of 2205 DSS

A review on machining of metal matrix composites using nanoparticle mixed dielectric in electro-discharge machining

Optimization of Surface Roughness Parameters of Al-6351 Alloy in EDC Process: A Taguchi Coupled Fuzzy Logic Approach

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