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    Electrochemical Machining—Prediction and Correlation of Process Variables

    Source: Journal of Manufacturing Science and Engineering:;1966:;volume( 088 ):;issue: 004::page 455
    Author:
    J. Hopenfeld
    ,
    R. R. Cole
    DOI: 10.1115/1.3672681
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The relationship between total current, applied potential, electrolyte flow rate, electrolyte conductivity, and electrode gap in electrochemical machining was investigated experimentally and analytically. An electrolytic cell was designed permitting the electrode gap to be observed and photographed. A 0.25 × 0.375-in. rectangular 1100F aluminum anode was used. Electrode gap varied between 0.013 and 0.033 in. The electrolyte was potassium chloride in concentrations from 0.67 normal to 1.7 normal. Current density range was 40–450 amp/in. and electrolyte flow rate was 0.22 to 0.98 gal/min. The photographs taken of the electrode gap during operation clearly show development of a hydrogen bubble layer next to the cathode. Based upon a mathematical model incorporating the bubble layer, an equation in a nondimensional form has been derived describing the functional relationship between process variables. This equation correlates the experimental data within plus or minus 15 percent. An equation which predicts the local current distribution, and hence anode dissolution rate, along the electrode gap in the direction of electrolyte flow is also presented. Based on the theoretical analysis, optimum operation in electrochemical machining from the standpoint of uniformity of metal removal is discussed.
    keyword(s): Machining , Electrodes , Electrolytes , Equations , Flow (Dynamics) , Anodes , Bubbles , Current density , Electrolytic conductivity , Aluminum , Hydrogen , Potassium AND Theoretical analysis ,
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      Electrochemical Machining—Prediction and Correlation of Process Variables

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    http://yetl.yabesh.ir/yetl1/handle/yetl/114612
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    contributor authorJ. Hopenfeld
    contributor authorR. R. Cole
    date accessioned2017-05-08T23:45:59Z
    date available2017-05-08T23:45:59Z
    date copyrightNovember, 1966
    date issued1966
    identifier issn1087-1357
    identifier otherJMSEFK-27505#455_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/114612
    description abstractThe relationship between total current, applied potential, electrolyte flow rate, electrolyte conductivity, and electrode gap in electrochemical machining was investigated experimentally and analytically. An electrolytic cell was designed permitting the electrode gap to be observed and photographed. A 0.25 × 0.375-in. rectangular 1100F aluminum anode was used. Electrode gap varied between 0.013 and 0.033 in. The electrolyte was potassium chloride in concentrations from 0.67 normal to 1.7 normal. Current density range was 40–450 amp/in. and electrolyte flow rate was 0.22 to 0.98 gal/min. The photographs taken of the electrode gap during operation clearly show development of a hydrogen bubble layer next to the cathode. Based upon a mathematical model incorporating the bubble layer, an equation in a nondimensional form has been derived describing the functional relationship between process variables. This equation correlates the experimental data within plus or minus 15 percent. An equation which predicts the local current distribution, and hence anode dissolution rate, along the electrode gap in the direction of electrolyte flow is also presented. Based on the theoretical analysis, optimum operation in electrochemical machining from the standpoint of uniformity of metal removal is discussed.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleElectrochemical Machining—Prediction and Correlation of Process Variables
    typeJournal Paper
    journal volume88
    journal issue4
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3672681
    journal fristpage455
    journal lastpage461
    identifier eissn1528-8935
    keywordsMachining
    keywordsElectrodes
    keywordsElectrolytes
    keywordsEquations
    keywordsFlow (Dynamics)
    keywordsAnodes
    keywordsBubbles
    keywordsCurrent density
    keywordsElectrolytic conductivity
    keywordsAluminum
    keywordsHydrogen
    keywordsPotassium AND Theoretical analysis
    treeJournal of Manufacturing Science and Engineering:;1966:;volume( 088 ):;issue: 004
    contenttypeFulltext
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