Further Effects of Process Parameters on the Incidence of Sparking in Electrochemical Machining

1979 ◽  
pp. 511-516 ◽  
Author(s):  
S. J. Ebeid ◽  
E. M. Baxter ◽  
C. N. Larsson
Keyword(s):  
Process Parameters ◽  
Electrochemical Machining

Multi-Response Optimization of Electrochemical Machining of Al-Si/B4C Composites Using RSM

2013 ◽  
Vol 3 (3) ◽  
pp. 42-56 ◽  
Author(s):  
Sadineni Rama Rao ◽  
G. Padmanabhan
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Feed Rate ◽  
Electrolyte Concentration ◽  
Electrochemical Machining ◽  
Casting Process ◽  
Stir Casting ◽  
Machining Parameters ◽  
Electron Microscopic ◽  
Sem Images

The present work reports the electrochemical machining (ECM) of the aluminium-silicon alloy/boron carbide (Al-Si /B4C) composites, fabricated by stir casting process with different weight % of B4C particles. The influence of four machining parameters including applied voltage, electrode feed rate, electrolyte concentration and percentage of reinforcement on the responses surface roughness (SR) and radial over cut (ROC) were investigated. The process parameters are optimized based on the response surface methodology (RSM) and the optimum values for minimizing surface roughness and radial over cut are voltage 15.25 V, feed rate 1.0 mm/min, electrolyte concentration 13.56g/lit and percentage of reinforcement 7.36 wt%. The quality of the machined surfaces is studied by using scanning electron microscopic (SEM) images. The surface plots are generated to study the effect of process parameters and their interaction on the surface roughness and radial over cut, for the machined Al-Si/B4C composites.

Abrasive Assisted Electrochemical Machining of Al-B4C Nanocomposite

2015 ◽  
Vol 787 ◽  
pp. 523-527 ◽  
Author(s):  
K. Rajkumar ◽  
L. Poovazhgan ◽  
P. Saravanamuthukumar ◽  
S. Javed Syed Ibrahim ◽  
S. Santosh
Keyword(s):  
Particle Size ◽  
Boron Carbide ◽  
Process Parameters ◽  
Positive Impact ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
Weight Ratio ◽  
High Strength ◽  
High Wear Resistance ◽  
Particle Size Reduction

Aluminium reinforced with SiC, Al2O3 and B4C etc. possesses an attractive combination of properties such as high wear resistance, high strength to weight ratio and high specific stiffness. Among the various reinforced materials used for aluminium, B4C has outperformed all others in terms of hardening effect. Particle size reduction of B4C is found to have positive impact on the material hardness. In the view of physical properties, B4C has less density than that of SiC and Al2O3, which makes it an attractive reinforcement for aluminium and its alloys for light weight applications. In this work, Al nano B4C composite prepared by ultrasonic cavitation method was machined by Abrasive assisted electrochemical machining using cylindrical copper tool electrodes with SiC abrasive medium. In this paper, attempts have been made to model and optimize process parameters in Abrasive assisted Electro-Chemical Machining of Aluminium-Boron carbide nano composite. Optimization of process parameters is based on the statistical techniques using Response Surface Methodology with four independent input parameters such as voltage, current, abrasive concentration and feed rate were used to assess the process performance in terms of material removal rate and surface finish. The obtained results were compared with abrasive assisted electro chemical machining of Aluminium-Boron carbide micro composite and the effect of particle size on the process parameters was analyzed.

Modeling of Radial Over Cut in Electrochemical Machining of Al-B4C MMC Using Response Surface Methodology

2013 ◽  
Vol 13 (1-2) ◽  
pp. 31-36
Author(s):  
Sadineni Rama Rao ◽  
G. Padmanabhan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Feed Rate ◽  
Electrolyte Concentration ◽  
Electrochemical Machining ◽  
Machining Parameters ◽  
Matrix Composites ◽  
The Matrix ◽  
Contour Plots

AbstractElectrochemical machining (ECM) is increasing its importance in machining of metal matrix composites (MMC) due to some specific advantages which can be exploited during machining operation. In ECM the quality of the surface produced is also depends on the workpiece physical and electrical properties along with the process parameters like voltage, feed rate, electrolyte concentration, type of electrolyte, current, gap between electrodes etc. Therefore, in the present work the percentage of reinforcement of the particulates in the matrix is considered one of the process parameters along with the applied voltage, electrode feed rate and electrolyte concentration. A mathematical prediction model of the radial over cut (ROC) was developed using response surface methodology (RSM). The effects of electrochemical machining parameters on the Radial over cut were evaluated. The contour plots were drawn to study the effect of various process parameters and their interaction. In this work the predicted values and measured values are quite close to each other. Therefore, the developed model can be effectively used to predict the radial over cut on electrochemical machining of Al-B4C composites.

Investigations on Machining of Monel 400 Alloys Using Electrochemical Machining with Sodium Nitrate as Electrolyte

2014 ◽  
Vol 592-594 ◽  
pp. 467-472 ◽  
Author(s):  
M. Kalaimathi ◽  
G. Venkatachalam ◽  
Neil Pradeep Makhijani ◽  
Ankit Agrawal ◽  
M. Sivakumar
Keyword(s):  
Process Parameters ◽  
Sodium Nitrate ◽  
Removal Rate ◽  
Electrochemical Machining ◽  
Research Field ◽  
Electrode Gap ◽  
Conventional Machine ◽  
Monel 400 ◽  
Physical And Chemical ◽  
The Impact

Monel 400 is a cuprous nickel alloy which is very well-known for its resistivity towards physical and chemical strength. It is probably one of the hardest and most non-corrosive materials known in industrial as well as research field. These properties have enhanced its applications in various fields such as aerospace industries, marine industries, automotive industries etc. Monel 400 alloys are too hard to machine using conventional machine tools and methods as it work hardens rapidly on its surface. Authors concluded that electrochemical machining is the choice of machining of these materials. The present work is carried out to analyze the impact of ECM process parameters such as applied voltage (V), inter-electrode gap (IEG) and electrolyte concentration (EC) on material removal rate (MRR) and surface roughness (Ra). An aqueous sodium nitrate (NaNO3) is used as basic electrolyte in the electrochemical machining of Monel 400 alloys. Response surface methodology (RSM) based central composite design (CCD) is used as experimental strategy. Effects of process parameters as well as their interactions are analysed and the process parameters are optimized.

Study on the Shaping Law of Precision Numerical Controlled Electrochemical Contour Evolution Machining

2008 ◽  
Vol 375-376 ◽  
pp. 72-76 ◽  
Author(s):  
Min Kang ◽  
Jia Wen Xu
Keyword(s):  
Differential Equations ◽  
Process Parameters ◽  
Electrochemical Machining ◽  
Machining Process ◽  
Machining Accuracy ◽  
Planar Surface ◽  
Important Development ◽  
Contour Evolution ◽  
Change Trend ◽  
Side Gap

Numerical Controlled Electrochemical Contour Evolution Machining (NC-ECCEM) is one of the most important development in Electrochemical Machining (ECM). In order to improve the machining accuracy of NC-ECCEM technology, the research works on precision NC-ECCEM technology are needed, and especially the study on its shaping law is significant for improving the machining accuracy of workpiece profile. In this paper, the shaping law of machining the planar surface by use of a kind of inner-spraying cathode with rectangle section was studied. First, the basic differential equations of shaping law in the case of cathode movement were established. Then, considering the structure of the cathode, the methods for calculating the side gap in machining the planar surface was given. Finally, the experiments of machining the planar surface were carried out. Experiments show that the calculated side gaps are bigger than the actual values, but the change trend of calculated side gaps with machining process parameters is coincident with the actual side gap change trend.

Surface roughness study of polyamide in nano-metric polishing using low-frequency acoustic energy

2021 ◽  
pp. 095440542110573
Author(s):  
Sajjad Beigmoradi ◽  
Mehrdad Vahdati
Keyword(s):  
Surface Roughness ◽  
Process Parameters ◽  
Electrochemical Machining ◽  
Low Frequency ◽  
Acoustic Energy ◽  
Machining Process ◽  
Surface Topology ◽  
Vibration Source ◽  
Before And After ◽  
Process Factors

Polymers have gained the attention of manufacturers due to their significant advantages such as low density, high corrosion resistance, and high humidity resistance. Producing high-precision polymeric components is one the most challenging issues especially in fabricating complex or micro-scale systems. Some of the machining techniques such as electro discharge machining (EDM) and electrochemical machining (ECM) cannot be employed for machining the non-conductive parts. Using abrasive particles is one of the best options for machining these types of materials. In this work, the capability of the acoustic energy for machining polyamide (PA) workpieces is studied. To this end, an experimental setup is installed and design of experiment (DoE) algorithm is employed to survey the effect of process parameters on surface roughness. Three parameters at three levels are considered as the effective factors of the process and the sensitivity of the surface roughness on the process factors is investigated. In the next step, a hybrid finite element/boundary element approach was used to discuss the relation of process parameters to the vibrational characteristics of the container, then the mechanism of the process was investigated employing the discrete element method. Finally, the surface topology of the optimal workpiece before and after the process was presented and compared. It was observed that acoustic energy can be considered as a vibration source of the container’s floor to provide kinetic energy for machining PA parts on the nano-metric scale. Moreover, it was found that the initial roughness of the workpiece and the chosen parameters play a crucial role in the machining process. Experimental results show that in this technique by selecting appropriate process factors the surface roughness can be reduced up to 50%.

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