Optimization of wire electrical discharge machining parameters for cutting electrically conductive boron carbide

Pramanick, Ayan; Sarkar, Soumya; Dey, Partha Pratim; Das, Probal Kumar

doi:10.1016/j.ceramint.2016.07.023

Cited by 14 publications

(5 citation statements)

References 29 publications

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“…For all the three responses percentage error is less than 10%. Hence, the proposed methodology is efficient and effective for optimizing multiple performance characteristics in WEDM process [15,16].…”

Section: Validation Of the Precision Optimization Processmentioning

confidence: 99%

“…In this study, three response variables, namely cutting rate (V c ), kerf width (K w ) and surface roughness (R a ) have been optimized in two stages to obtain better performance in machining of D2 steel by using Taguchi-based grey relational analysis (GRA) technique. This combined Taguchi-GRA approach eases in obtaining optimal cutting parameters setting as numerical value of grey relational grades by considering correlation of response characteristics [15].…”

Section: Introductionmentioning

confidence: 99%

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Precision Multi-Response Optimization of Performance Characteristics In Wire-Cut Electric Discharge Machining (Wedm) Process

Nayak¹,

Rana²

2020

JMechE

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In this paper, an effective two stage multi-response optimization technique (i.e. grey relational analysis coupled with Taguchi technique) has been applied to achieve a better performance characteristic in wire-cut electrical discharge machining (WEDM) process. A zinc coated brass wire of 0.25 mm diameter was used as tool electrode for machining a D2 tool steel specimen. Experiments were planned according to Taguchi’s L9 orthogonal array under different cutting parameters such as: pulse on time (TON), pulse off time (TOFF), peak current (IP) and wire feed rate (WF). The three quality characteristics (i.e. performance characteristics), namely cutting rate, kerf width and surface roughness have been simultaneously optimized in two different stages. It wasobserved that the cutting speed is increased by 24.60% compared to first stage/primary optimization process. From the analysis of variance (ANOVA), pulse-on time is found to be the most influencing cutting parameter having 74.91% contribution towards overall performance of the WEDM process. Finally,a confirmatory experiment has been carried out at optimum set of cutting parameters obtained from the precision optimization stage to identify the effectiveness of this proposed method. It was observed that the predicted values of the responses obtained from regression models were in good agreement with the experimental findings.

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Section: Validation Of the Precision Optimization Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Precision Multi-Response Optimization of Performance Characteristics In Wire-Cut Electric Discharge Machining (Wedm) Process

Nayak¹,

Rana²

2020

JMechE

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“…Amineh et al [46] improved the surface finish of WEDM surface by removing the recast layer through a magnetic abrasive finishing method. Authors studied the influence of WEDM process parameters on machining of Al-based composites, namely Al6063/SiCp composite [43], Aluminium metal matrix composite [35]; Boron carbide [81], and Aluminium (6351) alloy reinforced with 54 wt. % Silicon Carbide (SiC) and 0, 5, 10 wt.…”

Section: Effect Of Process Parametersmentioning

confidence: 99%

“…Prasad and Gopala Krishna [96] described the benefit of using harmony search algorithm for achieving minimum kerf and wire wear ratio. Pramanik et al [81] proposed a hypothesis by using grey relational analysis to predict optimum process parameter combination to achieve higher machining speed and better surface finish while machining boron carbide material.…”

Section: Modelling and Simulation Techniquesmentioning

confidence: 99%

A progress review in wire electrical discharge machining process

Balan¹,

Giridharan²

2017

Int. J. Automot. Mech. Eng.

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Wire Electrical Discharge Machining (WEDM) is an electrothermal non-traditional machining process used for machining electrically conductive materials that are difficult to machine. Material removal in WEDM is by means of spark erosion. WEDM is proven to be the alternative for producing complex parts with higher degree of dimensional accuracy and better surface finish. Over the years, a significant amount of research was globally carried out to explore the WEDM process capability. This paper aims to explore the research work carried on parametric influence of WEDM process variables on various output performance measures. The paper also highlights various modelling techniques to predict optimal machining conditions and explore the feasibility of applying WEDM process to machine advanced materials. Combined technology that benefits from the virtues of WEDM and conventional method is also highlighted in this paper. The final section discusses the development and possible research trend in WEDM process.

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“…The important parameters in WEDM process are given in Table 1 (Han et al 2007;Va et al 2010;Singh et al 2014;Aggarwal et al 2015;Khatri and Rathod 2017). These output performance parameters are correlated with input parameters such as pulse on time, pulse off time, spark voltage, and wire feed (Aggarwal et al 2015;Manjaiah et al 2016;Pramanick et al 2016). Careful selection of these input parameters can give higher material removal rate, good surface finish and low electrode wear rate (Han et al 2007;Singh and Garg 2009;Malik et al 2015;Rao 2016;Kumar et al 2017b).…”

mentioning

confidence: 99%

Multi-response optimization of WEDM parameters on machining 16MnCr5 alloy steel using Taguchi technique

Saini

Goyal

Bhandari³

2018

Multiscale and Multidiscip. Model. Exp. and Des.

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In this present work, an attempt has been made to optimize the wire electric discharge machining using muli-response optimization technique based on Taguchi's design approach. 16MnCr5 Alloy steel was selected as workpiece material. The response parameters viz. material removal rate and surface roughness were optimized by varying types of electrode, pulse on time (T on ), pulse off time (T off ) and peak current (I p ). The Taguchi's L 18 mixed orthogonal array has been used for planning and designing the experiments. ANOVA was used to find the contribution and significance of different process parameters on the response parameters. The results clearly indicated that pulse on time (T on ) was the most influential factor for the material removal rate and surface roughness. Optimal level of process parameters was used to perform the confirmatory experiments which verified the improvements in performance characteristics. Keywords List of symbols

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Optimization of wire electrical discharge machining parameters for cutting electrically conductive boron carbide

Cited by 14 publications

References 29 publications

Precision Multi-Response Optimization of Performance Characteristics In Wire-Cut Electric Discharge Machining (Wedm) Process

Precision Multi-Response Optimization of Performance Characteristics In Wire-Cut Electric Discharge Machining (Wedm) Process

A progress review in wire electrical discharge machining process

Multi-response optimization of WEDM parameters on machining 16MnCr5 alloy steel using Taguchi technique

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