A hybrid approach for multi-response optimization of non-conventional machining on AlSiCp MMC

Puhan, Debaprasanna; Mahapatra, Siba Sankar; Sahu, Jambeswar; Das, Layatitdev

doi:10.1016/j.measurement.2013.06.007

Cited by 59 publications

(23 citation statements)

References 29 publications

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“…Puhan et al [5] investigated the machinability characteristics of aluminium silicon carbide composite on an electrical discharge machine. To optimize multiple responses simultaneously principal component analysis (PCA) and fuzzy inference system were coupled with Taguchi method.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Cutting Parameters of Al-Zro2- Sicp and Graphite Hybrid Metal Matrix Composites

Mahanta¹,

Mishra²

2017

J. Prod. Eng.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization of Cutting Parameters of Al-Zro2- Sicp and Graphite Hybrid Metal Matrix Composites

Mahanta¹,

Mishra²

2017

J. Prod. Eng.

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“…The need of MMCs over the metal alloys not only due to the light weight and high strength but also increased the wear resistance over the conventional hyper eutectic Al-SiC alloy. Among various application of the MMC, One of the best applications of Al-SiC MMC in the high temperature region of automobile parts is the Piston ring groove which resists the high temperature resulting from combustion [6]. As these applications also required high surface finish texture which can't be designed by Conventional machining process.…”

Section: Introductionmentioning

confidence: 99%

“…Validation of the model has been carried out by conducting the experiment. Puhan et al [6] has been investigated the machinability of Al/SiC by EDM. The composites have been prepared by Powder metallurgy route.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Modelling of EDM of Aluminum Particulate Metal Matrix Composites Considering Temperature Dependent Properties

Chaudhury¹,

Samantaray²

2019

RCMA

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This research paper deals with the study of the thermal modeling of Al-A359 reinforced with 10 % SiC Composites (Particulate metal matrix Composite) machined by Electrical Discharge machining (EDM). The composite has been fabricated by Powder metallurgy (P/M) route. Due to high hardness of the Graphite reinforced particle it has been always difficult to machine these composites by the conventional machining route. In this investigation EDM procedure has been introduced to machining the PMMC. The numerical model has been developed by designing a 3D axi-symmetric work domain with the help of Finite analysis software. The effect of variable thermal properties on the modeling of PMMC is also introduced in this study. The effect of three different types of heat source (Disk heat, Point heat & Gaussian heat source) on the Al-A359 Composite machining has been analyzed. From the analysis it can be concluded that the Gaussian heat source model with varying Specific heat (Model-III) has been validated with the experimental result with least error of 11 %. The highest Material removal rate of 25.12 (*10 -3 mm 3 /min). At 10 A current, 100V voltage and 100µS Pulse-On time has been estimated. Keywords:powder metallurgy, particulate metal matrixes composite, thermal modeling, electrical discharge machining, finite element method, specific heat, heat flux, material removal rate

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“…Prakash et al [12] used L27 orthogonal array to conduct the experiments and ANOVA to determine the significance of process parameters on the output response. Puhan et al [13] investigated the influence of process parameters on multiple performance characteristics in EDM of Aluminium Composites. Rajkumar et al [14] proved the microwave heat treatment an operative method compared to conventional heat treatment.…”

Section: Introductionmentioning

confidence: 99%

Investigation of EDM Process parameters for Hybrid Metal Matrix Composites

Maniyar

Ingole²

2018

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The goal of present research work is to investigate the Electrical discharge Machining process parameters namely current, pulse on time and combined equal weight percentage of silicon carbide and graphite on material removal rate, tool wear rate and surface roughness of hybrid metal matrix composites. Experimental trails are done by Taguchi's L27 orthogonal array. Signal to noise ratio is used to determine optimal setting of process parameters. Analysis of Variance is utilized to discover the most influential machining process parameters on output responses. This examination have shown results of ideal machining condition which can be utilized to boost material removal rate as well as to limit tool wear rate and surface roughness. Finally results are validated by confirmation Tests.

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A hybrid approach for multi-response optimization of non-conventional machining on AlSiCp MMC

Cited by 59 publications

References 29 publications

Optimization of Cutting Parameters of Al-Zro2- Sicp and Graphite Hybrid Metal Matrix Composites

Optimization of Cutting Parameters of Al-Zro2- Sicp and Graphite Hybrid Metal Matrix Composites

Finite Element Modelling of EDM of Aluminum Particulate Metal Matrix Composites Considering Temperature Dependent Properties

Investigation of EDM Process parameters for Hybrid Metal Matrix Composites

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