The effects of machining settings on the behavior of pulse trains in the WEDM process

Liao, Yunn‐Shiuan; Woo, Jeng-Chung

doi:10.1016/s0924-0136(97)82076-6

Cited by 54 publications

(30 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These parameters have significant effect on processing. In addition, the literature [6][7][8][9] also describe the similar regularity. In this research, pulse-on time and pulse-off time account for 78.35 % in the whole factor effects on Ra.…”

Section: Data Analysis Of Rough Cuttingmentioning

confidence: 99%

“…Liao and Gatto studied the effects of cutting settings on the behavior of pulse trains for tool steels [9] and the cutting mechanisms for metal matrix a b Fig. 1 The experimental equipment ceramic composites [10].…”

Section: Introductionmentioning

confidence: 99%

“…The artificial neural network was utilized to establish a mathematical relationship between the cutting parameters and output measures [18,19]. It can be seen from above that the MRR and Ra are the most widely characteristics that are used to describe WEDM cutting conditions [6][7][8][9][10][11][12][13][15][16][17][18]. In terms of workpiece material, tool steel YG15 was used because of its wide application in cutting tools and mold industry.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of cutting conditions of YG15 on rough and finish cutting in WEDM based on statistical analyses

Huang

Ming

Guo

et al. 2013

Int J Adv Manuf Technol

View full text Add to dashboard Cite

In this paper, the effects and the optimization of cutting parameters on surface roughness (Ra) and material removal rate (MRR) in the wire electrical discharge machining (WEDM) of high hardness tool steel YG15 are analyzed. In the WEDM process, the key process parameters, such as pulse-on time, pulse-off time, power, cutting feed rate, wire tension, wire speed, and water pressure, are optimized. Experimental data were initially collected based on the Taguchi method of experimental design, which are L 18 2 1 × 3 5 and L 18 2 1 × 3 4 Taguchi standard orthogonal array on rough and finish cutting experiments, respectively. The level of importance of the cutting parameters on the Ra and MRR was determined on both finish and rough cutting by using statistical analyses; average gap voltage is discussed in order to balance cutting efficiency and stability on both finish and rough cutting. In addition, comparative analysis of finish and rough cutting is drawn to analyze the difference between rough cutting and finish cutting. Then, regression models and signal-to-noise ratio are used to obtain the optimum cutting parameter combination. Finally, the results present the optimized MRR and Ra of the rough and finish process, respectively, and confirm the efficiency and abilities of the model.

show abstract

Section: Data Analysis Of Rough Cuttingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of cutting conditions of YG15 on rough and finish cutting in WEDM based on statistical analyses

Huang

Ming

Guo

et al. 2013

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…The selection of appropriate machining parameters for the WEDM process is purely based on the analysis relating the various process parameters to different performance measures namely the MRR, surface finish, kerf width, tool wear, etc. 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.…”

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

View full text Add to dashboard Cite

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.

show abstract

“…It is clear that the MRR increases with increase in pulse on time and decreases with increase in the peak current. This is due to the fact that time period between two successive sparks increases with an increase in pulse on time (Liao and Woo 1997). An increase in pulse on time leads to a maximum number of sparks and therefore more amount of energy is produced (Liao and Woo 1997).…”

Section: Resultsmentioning

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.

View full text Add to dashboard Cite

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

show abstract

The effects of machining settings on the behavior of pulse trains in the WEDM process

Cited by 54 publications

References 7 publications

Optimization of cutting conditions of YG15 on rough and finish cutting in WEDM based on statistical analyses

Optimization of cutting conditions of YG15 on rough and finish cutting in WEDM based on statistical analyses

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

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

Contact Info

Product

Resources

About