Fuzzy-based modeling for prediction of machining performance measures for micro-EDM process

Selection of suitable parametric combinations for micro-electro discharge machining (micro-EDM) process to attain desired response values is usually observed as a complex task as it is mostly affected by a large number of process parameters and differing responses. It mostly depends on the operators...

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Hauptverfasser: Tiwary, Anand Prakash, Das, Partha Protim, Diyaley, Sunny, Kunar, Sandip
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:Selection of suitable parametric combinations for micro-electro discharge machining (micro-EDM) process to attain desired response values is usually observed as a complex task as it is mostly affected by a large number of process parameters and differing responses. It mostly depends on the operators’ experience or requires a number of trial runs which is not desirable from the economic viewpoint. The present paper emphasize towards the application fuzzy logic as a prediction tool for prediction of machining performance measures for micro-EDM process while machining on Ti-6Al-4V work material. Machining process parameters for example pulse-on-time, peak current, gap voltage and flushing pressure are selected as the controllable parameters, while material removal rate, tool wear rate, overcut and taper are observed as the responses. The values attained for each response using the developed fuzzy-based model is found to have a close match with those obtained in actual experimental runs. The calculated root mean square percentage error (RMSPE) and correlation coefficient (R) also justifies the effectiveness of fuzzy logic as a prediction tool for prediction of response values for micro-EDM process.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0145735