2018
DOI: 10.1016/j.procir.2017.12.082
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Modeling and Simulation of the Microstructure Evolution of 42CrMo4 Steel During Electrochemical Machining

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Cited by 17 publications
(14 citation statements)
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“…For high electric field strengths E-typically in the frontal machining gap-no significant changes occur. The results agree well with experimental results, therefore validating the given modeling approach [35].…”
Section: Exemplary Process Signature Componentsupporting
confidence: 87%
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“…For high electric field strengths E-typically in the frontal machining gap-no significant changes occur. The results agree well with experimental results, therefore validating the given modeling approach [35].…”
Section: Exemplary Process Signature Componentsupporting
confidence: 87%
“…13. Based on specific material removal rates of the material phases involved and temporarily and spatially evolving local electric field strength during the process, a comprehensive modeling on the microstructural scale was carried out [34,35]. As a result, the change in the phase fraction of cementite and ferrite can be seen as a function of the maximum electric field strength as the relevant descriptive of the internal material load.…”
Section: Exemplary Process Signature Componentmentioning
confidence: 99%
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“…Klocke et al [ 24,25 ] have investigated the effect of ECM on the microstructure of ferritic–pearlitic 42CrMo4 steel in 2.5 M sodium nitrate solution. Selective dissolution of the steel with a preferred dissolution of the electrochemically less noble ferrite phase in contrast to the cementite phase was proven.…”
Section: Introductionmentioning
confidence: 99%
“…Kumar et al [19] investigated the effect of process parameters on surface roughness characteristic in electrochemical machining of EN31 tool steel using grey relation analysis. Klocke et al [20] presents a model for the prediction of microstructure evolution regarding the influence of on the surface topography for the 42CrMo4 steel during electrochemical machining. The effectiveness of surface characteristics for the design and analysis of experiments has been proven in many research works [21][22][23][24][25][26].…”
Section: Introductionmentioning
confidence: 99%