2016
DOI: 10.1007/s00170-016-8648-7
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Analysis of the relationship between electrolyte characteristics and electrochemical machinability in PECM on invar (Fe-Ni)fine sheet

Abstract: Pulsed electrochemical machining (PECM) has been conducted for invar (Fe-Ni) fine sheet consisting of 64 % Fe ions and 36 % Ni ions. Solutions of sodium chloride (NaCl), acetic acid (CH 3 COOH), sodium nitrate (NaNO 3 ), and sodium nitrite (NaNO 2 ) mixed with sodium tartrate (C 4 H 4 Na 2 O 6 ) were used as an electrolyte. First, the electrical conductivities of all electrolytes have been measured. As the concentration of each electrolyte increased, the electrical conductivities of electrolytes increased exce… Show more

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Cited by 10 publications
(4 citation statements)
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“…The conductivity is correlated to the concentration of the electrolyte, which by increasing conductivity, concentration increases. 44…”
Section: Hypotheses For the Tool Damagesmentioning
confidence: 99%
“…The conductivity is correlated to the concentration of the electrolyte, which by increasing conductivity, concentration increases. 44…”
Section: Hypotheses For the Tool Damagesmentioning
confidence: 99%
“…The nitrite ion from NaNO2 is well known to be a passivating corrosion inhibitor which easily forms an effective oxide film on a surface [27,35]. Compared to NaNO3 it can be assumed that the formed oxide layer is more stable thus reducing the rate of electrochemical dissolution resulting in a surface which is more uniformly machined with reduced pitting.…”
Section: Surface Modification Mechanismsmentioning
confidence: 99%
“…The size of the crater is established by the current density and the time duration (pulse-on time + pulse-off time ratio) of applied electrical energy [31]. The NaCl + NaNO 3 has higher electrical conductivity nature to produce a larger peak and valley surface and it has achieved higher circularity [32,33]. It has been understood that the higher pulse duration and higher current density can generate a better machined workpiece surface.…”
Section: Sem Analysis Of Machined Surfacementioning
confidence: 99%