A comparative study of electrochemical machining process parameters by using GA and Taguchi method

Soni, Sourabh Kumar; Thomas, Benedict

doi:10.1088/1757-899x/263/6/062038

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…Moreover, during machining, the surface quality of the component is one of the major constraints for the selection of machining equipment as well as machining parameters. Due to this, numerous research publication has been observed in the analysis and optimization of machining process parameters during the machining of composites [33,37].…”

Section: Introductionmentioning

confidence: 99%

Fabrication and machinability analysis of squeeze cast Al 7075/h-BN/graphene hybrid nanocomposite

et al. 2019

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This article deals with fabrication and machinability analysis of squeeze cast Al 7075/h-BN/Graphene hybrid nanocomposite (HNC), which has been fabricated by reinforcing hexagonal boron nitride (0.5 wt% h-BN) and graphene nanoparticles (1 wt% GNPs). In order to utilize the self-lubricating property of h-BN and GNPs, their uniform mixing is essential, hence before squeeze casting of HNC ball milling (BM) technique has been employed which enables uniform mixing and also eliminates the agglomeration effect of nanoparticles. Scanning electron microscopy (SEM) and optical microscopic (OM) investigation confirm the uniform mixing of nanoparticles as well as refinement in the grain size. In order to examine the hardness of the proposed HNC, mechanical properties were investigated and observed improvement of 31.25%, 10.93% and 10.27% in the UTS, microhardness (Vickers) and Rockwell hardness respectively as compared to unreinforced Al 7075 alloy fabricated by stir casting. Based on the obtained results machinability analysis is performed considering numerous machining process parameter during CNC turning to investigate the influence of cutting speed (CS), feed rate (FR) and depth of cut (DOC) on surface roughness (SR), generated forces, tool wear and chip morphology of squeeze cast HNC subjected to dry and minimum quantity lubrication (MQL) machining. Finally, the acquired results are presented with the aid of comparative graphical presentation with squeeze casted conventional aluminium alloy.

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Section: Introductionmentioning

confidence: 99%

Fabrication and machinability analysis of squeeze cast Al 7075/h-BN/graphene hybrid nanocomposite

et al. 2019

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“…Konsentrasi elektrolit yang rendah dapat mengurangi celah pemesinan dan memberikan hasil akhir kekasaran permukaan yang lebih baik. Suhu elektrolit yang rendah juga mendorong permukaan yang lebih baik (Soni & Thomas, 2017).…”

Section: Pendahuluanunclassified

Optimasi Parameter Proses Pemesinan Ecm (Electrochemical Machining) Skala Laboratorium Dengan Metode Taguchi-Grey Relational Analysis (Gra)

Prayogo¹,

Lusi

2022

AME

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Pemesinan elektrokimia (ECM) adalah metode pemesinan non konvensional yang unik dalam proses pembentukan benda kerja untuk parameter optimal karena memeiliki keuntungan seperti tidak adanya keausan pada pahat (tool), sifat lapisan permukaan setelah pengerjaan mirip dengan bahan inti dan kualitas serta akurasi permukaan meningkat bersamaan dengan peningkatan laju pelepasan material. Keuntungan lain dari permesinan elektrokimia, yaitu tentang ekologi sehingga menciptakan minat industri dalam berbagai elemen manufaktur yang terbuat dari bahan dengan sifat khusus seperti pada pembuatan turbine blade. Dalam penelitian ini akan dilakukan eksperimen tentang optimasi parameter proses pemesinan ECM seperti voltage, konsentrasi jenis cairan elektrolit, dan gap width terhadap respon kekasaran permukaan dan material removal rate (MRR). Metode penelitian yang digunakan adalah metode multirespon dengan DOE (design of experiment) Taguchi dan Grey Relational Analysis (GRA). Hasil penelitian menunjuukan bahwa setting kombinasi variabel-variabel proses yang signifikan untuk memaksimalkan MRR dan meminimalkan kekasaran permukaan berdasarkan hasil optimasi dengan menggunakan metode Taguchi-GRA adalah kombinasi faktor voltage pada 48 Volt , konsentrasi elektrolit pada 150 g/l, dan gap width pada 2 mm. Variabel proses yang memiliki kontribusi terbesar terhadap variasi respon adalah yaitu voltage sebesar 65,18%, kemudian variable gap width sebesar 23,55%, dan kontribusi oleh konsentrasi elektrolit oleh adalah sebesar 11,22%.

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“…The machinability of composites primarily depends on numerous parameters such as type of machine, cutting tool, machining process parameters, reinforcement type, weight % of reinforcement, size of the reinforcing particles, distribution of reinforcements, cutting fluid and type of coolant [12,15,16,18,19]. Nearly one-fourth of the total machining cost is accompanying the machining tool, and one-fifth machine downtime happens owing to the failure of the cutting tool [18].…”

Section: Introductionmentioning

confidence: 99%

Microstructure, mechanical properties and machinability studies of Al7075/SiC/h-BN hybrid nanocomposite fabricated via ultrasonic-assisted squeeze casting

Soni¹,

Thomas²

2020

FME Transactions

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The present research article deals with the microstructure, mechanical properties and machinability investigation of squeeze-cast Al7075 and Al7075/SiC/h-BN hybrid nanocomposite. The Al7075 alloy nanocomposite has been reinforced by micro-size SiC (1 wt.%) particles and h-BN (0.5 wt.%) nanoparticles, prepared via ultrasonic-assisted melt-stirring approach. In order to achieve the better mixing of reinforcements, diminish the agglomeration effect of nanoparticles and improved wettability of the particles in the melt, SiC and h-BN powders have been ball-milled for the duration of 4 h. The microstructural investigation of the prepared nanocomposite was carried out by using optical microscopy (OM), scanning electron microscopy (SEM) and x-ray mapping analysis. The xray mapping and optical microscopic analysis show good dispersion uniformity of reinforcements and refinement in the grain sizes. The investigation of mechanical properties of hybrid nanocomposite shows the significant improvement of about 35.33 %, 21.69 %, 13.87 % and 12.27 % in the offset yield strength, ultimate tensile strength, Rockwell hardness and microhardness (Vickers), respectively. Furthermore, the machinability analysis has been performed to examine the influence of several machining parameters such as cutting speed, feed rate and depth of cut on the surface roughness, cutting force and chips length of the squeeze-cast hybrid nanocomposites under dry and minimum quantity lubrication (MQL) machining conditions. The outcomes of the machinability analysis for hybrid nanocomposites are compared with the Al7075 specimen and discussed.

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A comparative study of electrochemical machining process parameters by using GA and Taguchi method

Cited by 7 publications

References 10 publications

Fabrication and machinability analysis of squeeze cast Al 7075/h-BN/graphene hybrid nanocomposite

Fabrication and machinability analysis of squeeze cast Al 7075/h-BN/graphene hybrid nanocomposite

Optimasi Parameter Proses Pemesinan Ecm (Electrochemical Machining) Skala Laboratorium Dengan Metode Taguchi-Grey Relational Analysis (Gra)

Microstructure, mechanical properties and machinability studies of Al7075/SiC/h-BN hybrid nanocomposite fabricated via ultrasonic-assisted squeeze casting

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