WEDM process parameter optimization of FSPed copper-BN composites

Thankachan, Titus; Prakash, K. Soorya; Loganathan, M. K.

doi:10.1080/10426914.2017.1339311

Cited by 55 publications

(20 citation statements)

References 27 publications

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“…Thankanchan [13] focused on the evaluation of the machining characteristics of WEDM using Taguchi method and Grey relational analysis. They studied various WEDM processing parameters and material characteristics of Boron Nitride volume fractions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Machinability of Copper Alloy Ampcoloy by WEDM

et al. 2020

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The unconventional technology of wire electrical discharge machining is widely used in all areas of industry. For this reason, there is always an effort for efficient machining at the lowest possible cost. For this purpose, the following comprehensive study has been carried out to optimize the machining of the copper alloy Ampcoloy 35, which is particularly useful in plastic injection moulds. Within the study, a half-factor experiment of 25-1 with 10 axial points and seven central points of a total of 33 rounds was carried out, which was focused on the response monitoring of the input factors in the form of the machine parameters setup: gap voltage, pulse on time, pulse off time, discharge current, and wire speed. Based on the study of the response in the form of cutting speed and surface topography, their statistical models were created, while the optimal setting of machine parameters was determined to maximize the cutting speed and minimize the topography parameters. Further, a detailed cross-sectional analysis of surface and subsurface layer morphology was performed using electron microscopy including chemical composition analysis. In order to study microstructural changes in the material at the atomic level, a lamella was created, which was then studied using a transmission electron microscope.

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Section: Introductionmentioning

confidence: 99%

Analysis of the Machinability of Copper Alloy Ampcoloy by WEDM

et al. 2020

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“…The experiments were carried out on Ecocut EX4 WEDM machine, as shown in the Figure 3 surrounding copper of diameter 0.25 mm as the wire material was operated by wire feed mechanism. Dielectric fluids (deionized water) were passed over the workpiece and the wire (tool) by using pump [14,15]. The WEDM parameters are tabulated in Table 2 for the EX4 WEDM machine.…”

Section: Machining Conditionsmentioning

confidence: 99%

WEDM of Cu/WC/SiC composites: development and machining parameters using artificial immune system

Meenakshi¹,

Suresh²

2019

Journal of Experimental Nanoscience

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A systematic read on evaluating the machining characteristics of wire cut electrical discharge machining (WEDM) using analysis of variance (ANOVA) and multilinear regression model based multi objective optimization is provided during this analysis article. The current work explores, the surface roughness of copper metal matrix composite (MMCs) is minimized by optimizing the process parameters like spark on time, spark off time, peak current and wire feed. Taguchi's L9 orthogonal array has been used to conduct the experiments for two samples having a different composition to measure the surface roughness. The order of significance of parameters on surface roughness (Ra) for sample 1 and 2 MMCs were found using ANOVA and a multilinear regression model (MLRM) was developed to predict the Ra value. The new contribution in the present work is that, the coefficients of MLRM were optimized using artificial immune system algorithm with the objective of minimizing the mean absolute percentage error. Finally, the optimum process parameters were obtained to minimize the surface roughness and reported that the reduced value of Ra for 2.5% and 5% WC Copper MMCs were 0.9 lm and 1.1 lm, respectively later which were established by confirmation experiments.

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“…Also, Chakraborty et al [7] introduced a multivariate quality loss function approach in parametric optimization of three NTM process and showed that the proposed approach outperforms other multi-response optimization techniques, like desirability function, distance function and mean squared error methods. Considering pulse dischargeon time, pulse discharge-off time, wire feed rate and material characteristics of varying boron nitride volume fractions as the input parameters, Thankachan et al [32] integrated Taguchi method with GRA technique to solve a multi-objective optimization problem for a WEDM process while optimizing two responses, i.e. MRR and Ra.…”

Section: Literature Reviewmentioning

confidence: 99%

Parametric optimization of non-traditional machining processes using Taguchi method and super ranking concept

Protim

Chakraborty

2019

YUGOSLAV J OPERATION

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In order to achieve higher dimensional accuracy along with better surface quality, the conventional machining processes have now-a-days being replaced by nontraditional machining (NTM) processes, because of their ability to generate intricate shape geometries on various advanced engineering materials. In order to exploit their fullest machining potential, it is often recommended to operate those NTM processes at their optimal parametric settings. Several optimization tools and techniques are now available which can be effectively applied to obtain the optimal parametric conditions of those processes. In this paper, Taguchi method and super ranking concept are integrated together to present an efficient optimization technique for simultaneous optimization of three NTM processes, i.e. electro-discharge machining process, wire electro-discharge machining process and electro-chemical discharge drilling process. The derived results are validated with the help of developed regression equations, which show that the proposed approach outperforms the other popular multi-response optimization techniques. Analysis of variance is also performed to identify the most influencing control parameters for the considered NTM processes. The developed response surface plots further help the process engineers in identifying the effects of various NTM process parameters on the calculated sum of squared rank values.

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WEDM process parameter optimization of FSPed copper-BN composites

Cited by 55 publications

References 27 publications

Analysis of the Machinability of Copper Alloy Ampcoloy by WEDM

Analysis of the Machinability of Copper Alloy Ampcoloy by WEDM

WEDM of Cu/WC/SiC composites: development and machining parameters using artificial immune system

Parametric optimization of non-traditional machining processes using Taguchi method and super ranking concept

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