Numerical model for predicting the efficiency behaviour during pulsed electrochemical machining of steel in NaNO3

Damme, S. Van; Nelissen, Gert; Bossche, Bart Van Den; Deconinck, Johan

doi:10.1007/s10800-005-9020-z

Cited by 42 publications

(31 citation statements)

References 14 publications

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“…The electrical conductivity r, is a function of the temperature H and a function of ionic concentrations, of which the latter is extensively treated in [14]. The diffusion coefficients at infinite dilution D 0,i , used to calculate the conductivity [14], are increased 2% per Kelvin [16]. The local current density J can be calculated using…”

Section: Mathematical Modelmentioning

confidence: 99%

“…In this system (also in [14]), metal ions Fe 2+ , Fe 3+ and Cr 6+ at the anode and hydroxide ions OH -at the cathode strongly influence the local conductivity r. Ion production at the electrodes is calculated from the local current density. The ion distributions are calculated using convection-diffusion equations with mass fluxes on the boundaries [14].…”

Section: Mathematical Modelmentioning

confidence: 99%

“…The ion distributions are calculated using convection-diffusion equations with mass fluxes on the boundaries [14].…”

Section: Mathematical Modelmentioning

confidence: 99%

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Time averaged temperature calculations in pulse electrochemical machining, part II: numerical simulation

et al. 2008

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Simulation of the temperature distribution and evolution during pulse electrochemical machining can be a computationally very expensive procedure. In a previous part of the work [Smets et al. J Appl Electrochem 37(11):1345 a new approach to calculate the temperature evolution was introduced: the hybrid method, which combines averaged and pulsed calculations. The averaged calculations are performed by time averaging the boundary conditions and the bulk heat sources of the system. The timesteps used during the averaged calculations are then no longer dictated by the pulse characteristics. Using this approach, computationally very cheap, yet satisfactory results can be obtained. The analysis in the previous part of the work was obtained from analytical solutions on simplified models. In this part, the more general case is solved numerically. Multiple geometries are simulated and analyzed and methods are compared. Very satisfactory, yet cheap results are obtained.

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Section: Mathematical Modelmentioning

confidence: 99%

Section: Mathematical Modelmentioning

confidence: 99%

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Time averaged temperature calculations in pulse electrochemical machining, part II: numerical simulation

et al. 2008

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“…Anodic dissolution of mild steel in NaCl and NaClO 3 salts was exhaustively studied [2,3]. ECM of steel with NaNO 3 was studied with the aim to predict the current efficiency [4]. Waterisopropanol-glycerin chloride combination was used as electrolyte for high anodic dissolution of hafnium.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the performance of electrochemical machining of 20MnCr5 alloy steel and optimization of process parameters by PSO-DF optimizer

Ayyappan

Sivakumar²

2015

Int J Adv Manuf Technol

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Electrochemical machining (ECM) of metals, particularly steels, plays an important role in numerous industrial applications. The alloy steels especially 20MnCr5 are used as good wear resistant in the applications of boxes, piston bolts, spindles, camshafts, gears, shafts and other mechanical controlling parts. Machining of above complicated shapes with conventional machine tools is cumbersome task. Hence, investigation was made to study the electrochemical machining characteristics of 20MnCr5 alloy steel. Hydrogen peroxide (H 2 O 2 ) mixed aqueous NaCl was used as electrolyte in order to enhance the machining performance of ECM. The predominant ECM process parameters such as applied voltage (V), inter-electrode gap (IEG) and electrolyte concentration (EC) were considered to study its influence on the material removal rate (MRR) and surface roughness (R a ). Microstructure of surface of the 20MnCr5 steel specimen machined with ECM was studied to understand the effect of electrolyte during the machining. The contour plots were generated to study the effect of process parameters as well as their interactions. The optimized machined conditions found with particle swarm optimization (PSO)-desirability function (DF) optimizer were quite close with experimental results. Additional advantage of H 2 O 2 presence was noted that scales formed on flow path of electrolyte were completely removed.

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“…Kozak et al used the spherical electrodes to machining sculptured surface [9][10]. The electrolyte flow field, experiments, ECM assisted by low frequency vibrations and pulsed electrochemical machining were investigated [11][12][13]. Xu et al adopted the rotary tool-cathode to machining contour evolution with NC-electrochemical machine tool [14].…”

Section: Introductionmentioning

confidence: 99%

Gun Tube Rifling Electrochemical Machining Cathode Design and Experiment Study

Tang¹,

Fan²,

Gan³

et al. 2014

Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

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Abstract-Mixed rifle has the merit of improving the accuracy, range, and lifetime of gun tube. Due to the large caliber, the deep helix groove, and the long barrel of largecaliber cannon artillery, the traditional way is a complex, reiterative and time consuming process to design an effective cathode for electrochemical machining of rifle. In this paper, in order to improve the efficiency of electrochemical machining and reduce the interference between the rifles and the cathode working teeth, mathematical models are proposed. The computer aided ECM cathode design is described and the three-dimensional cathode body model was set up with UG software. According to the model parameters, the gun tube rifle cathode is designed and manufactured via electrochemical theories, and the experiment was carried out. The experimental results are harmony with the theoretical rifle. It is demonstrated that the computer-aided design for ECM cathode can improve the design precision of cathode, reduce the experimental workload, and shorten the cathode design cycle.

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Numerical model for predicting the efficiency behaviour during pulsed electrochemical machining of steel in NaNO3

Cited by 42 publications

References 14 publications

Time averaged temperature calculations in pulse electrochemical machining, part II: numerical simulation

Time averaged temperature calculations in pulse electrochemical machining, part II: numerical simulation

Enhancing the performance of electrochemical machining of 20MnCr5 alloy steel and optimization of process parameters by PSO-DF optimizer

Gun Tube Rifling Electrochemical Machining Cathode Design and Experiment Study

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