Experimental Investigations Into the Influencing Parameters of Electrochemical Machining of Aisi 202

Sekar, T.; Marappan, R.

doi:10.1142/s0219686708001486

Cited by 19 publications

(9 citation statements)

References 1 publication

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“…ECM is a cost effective and efficient techniques used for the manufacturing the hip-joint implants, turbine blades, rifle bores, micro-components. ECM produces quality products made from composites [28]. In addition, ECM is used advanced machining to produce complex shaped items and electrically conducting material and also difficult to cut materials [29].…”

Section: Electro Chemical Machining (Ecm) Processmentioning

confidence: 99%

Advanced Machining of Al Alloy Based Metal Matrix Composites

2020

IJRTE

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Machining of engineering materials becomes inevitable nowadays as the making of products having near net shape and size to meet its requirement is more important. The modern industrial need emerges the thrust for new materials which could satisfy the different performance characteristics. Among all, Metal Matrix Composites (MMCs) plays a foremost role in the engineering application for the replacement of various materials. Most importantly Al alloy based MMCs are widely used materials as it has more strength to weight ratio with attractive characteristics. However, machining of such a material to form required shape is not efficient through conventional machining processes. This article presents the detailed report on non conventional machining of Al alloy based MMCs.

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Section: Electro Chemical Machining (Ecm) Processmentioning

confidence: 99%

Advanced Machining of Al Alloy Based Metal Matrix Composites

2020

IJRTE

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“…The integration of both electrical discharge machining (EDM) and electrochemical machining (ECM) processes is considered ECDM. 1,2 The ECDM has often been studied for glass machining by numerous researchers. There are very rare kinds of literature on the machining of zirconia composite and it is widely used in many aerospace, automobile, dental, and computer system (ie, hard disk) applications.…”

Section: Introductionmentioning

confidence: 99%

Prediction on enhanced electrochemical discharge machining behaviors of zirconia‐silicon nitride using hybridDNNbased spotted hyena optimization

Manoharan

Sekar²

2022

Intl J of Energy Research

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Summary In this work, zirconia composite is machined by the unconventional Electrochemical Discharge Machining (ECDM). Normally, the machining of zirconia is an inconvenient process due to its increased hardness and maximum machining time. The ECDM of zirconia‐silicon nitride is done by varying the input parameters such as electrolytic concentration, voltage, and duty cycle. The measured output machined parameters are material removal rate (MRR), Overcut (OC), and Tool wear rate (TWR). In Response Surface Methodology (RSM), the Box Behnken method is used to plan the experimental design of this work. The parameter optimization is conducted using RSM. Besides, the experimented machining performances are validated using hybrid Deep Neural Network‐based Spotted Hyena optimization (DNN‐SHO) done in MATLAB platform version 2020 a. From the findings, the voltage and electrolytic concentration are identified as signified parameters for improving the ECDM performances from the RSM analysis. The obtained favorable machining performances are 0.371 mg/min of MRR, 162.2 μm of OC, and 0.26 mg/min of TWR. The predicted results from the proposed DNN‐SHO for the MRR are 0.402 mg/min, OC is 152.98 μm, and TWR is 0.21 mg/min. The proposed DNN‐SHO outcomes are in perfect agreement with the experimented values and are more superior to the RSM, DNN, and DNN‐PSO based prediction approaches.

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“…ECM provides an economical and effective method for shaping high-strength, heat-resisting materials into complex shapes and producing high-quality products from composites and other hard materials. 1 In ECM the machining is done at low voltage compared to other processes with a high metal removal rate. It is suitable for mass production work and low labour requirements.…”

Section: Introductionmentioning

confidence: 99%

Machining parameters influencing in electro chemical machining on AA6061 MMC

Mariapushpam¹,

Ravindran²,

Anand³

2016

Mater. Tehnol.

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In this study the mechanical and microstructural behaviours of AA6061 reinforced with silicon carbide (SiC) and AA6061 reinforced with boron carbide (B4C), obtained from the enhanced stir-casting process, were investigated using scanning electron microscopy (SEM) and X-ray diffraction (XRD) with various weight percentages, i.e., 2.5 %, 5 % and 7.5 %. The testing shows that the tensile and microhardness properties of the AA6061 were improved in both the reinforced aluminium-matrix composites. The influence of the electrochemical machining process parameters like current, voltage, electrolyte concentration, feed rate, gap and flow rate were considered as the input parameters. The output responses are the material removal rate (MRR), the surface roughness (SR) and the radial overcut (ROC). The study shows that the dominant output parameter MRR was directly proportional to the input parameters current, voltage and feed rate. The SR was significantly influenced by the input parameters current, feed rate and gap. The ROC was considerably balanced by the input parameters current and feed rate. Keywords: metal-matrix composites, material removal rate, electrochemical machining, surface roughness, radial overcut V {tudiji so bile preiskovane mehanske lastnosti in mikrostruktura AA6061, izdelanega z naprednim postopkom ulivanja s preme{avanjem in oja~anega z razli~nim masnim dele`em silicijevega karbida (SiC) ali borovega karbida (B4C) (2,5 %, 5 % in 7,5 %). Preiskave so bile izvedene s pomo~jo vrsti~nega elektronskega mikroskopa (SEM) in z rentgensko difrakcijo (XRD). Preizku{anje ka`e, da sta natezna trdnost in mikrotrdota AA6061 narasli pri obeh vrstah kompozita na osnovi aluminija. Za vpliv vhodnih procesnih parametrov pri elektrokemijski strojni obdelavi so bili upo{tevani: tok, napetost, koncentracija elektrolita, hitrost podajanja, re`a in hitrost pretoka. Izhodni odgovori so bili: hitrost odstranjevanja materiala (MRR), hrapavost povr{ine (SR) in pove~anje radiusa (ROC). [tudija ka`e, da je prevladujo~i izhodni parameter MRR neposredno proporcionalen vhodnim parametrom; toku, napetosti in hitrosti podajanja. Na SR so mo~no vplivali vhodni parametri: tok, hitrost podajanja in re`a. ROC je bil posebej uravnote`en z vhodnima parametroma, tokom in hitrostjo podajanja. Klju~ne besede: kompoziti na kovinski osnovi, hitrost odstranjevanja materiala, elektrokemijska strojna obdelava, hrapavost povr{ine, pove~anje radiusa

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Experimental Investigations Into the Influencing Parameters of Electrochemical Machining of Aisi 202

Cited by 19 publications

References 1 publication

Advanced Machining of Al Alloy Based Metal Matrix Composites

Advanced Machining of Al Alloy Based Metal Matrix Composites

Prediction on enhanced electrochemical discharge machining behaviors of zirconia‐silicon nitride using hybridDNNbased spotted hyena optimization

Machining parameters influencing in electro chemical machining on AA6061 MMC

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