Abstract
In machining processes, determination of influence of process parameters on performance parameters is an interesting field for many researchers. Recently, Coteaţă et al. (Mater Manuf Process 26:1466–1472, 2011) have presented a regression model and the most effective factors on axial wear in electrochemical discharge machining (ECDM). They applied machined hole depth as an input parameter in predicting the axial tool wear. Using the hole length as a factor of variation in this case can be seen in two scenarios. In the current note, these two possible states are investigated, and the most effective process parameters on ECDM are determined by mean analysis, main effect plot and Pareto ANOVA.
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Zare Chavoshi, S., Behagh, A.M. A note on influential control parameters for drilling of hard-to-machine steel by electrochemical discharge machining. Int J Adv Manuf Technol 71, 1883–1887 (2014). https://doi.org/10.1007/s00170-014-5646-5
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DOI: https://doi.org/10.1007/s00170-014-5646-5