Wire electro discharge machining (WEDM) operations are dynamic in nature and process responses are related with
simultaneous variation of parameters during experiments. To make the process reliable and to study the effects of the process
parameters on different responses such as surface roughness (Ra), cutting rate and material removal rate (MRR), attempts have
been made to carry out experiments considering the WEDM process parameters. Taguchi method, which is a design of
experiments (DoE) method, has been applied to the present experiment followed by Grey Relational Analysis. The signals to
noise (S/N) ratio plots are analyzed to study the effect of the process parameters. The adequacy of the above analysis has been
tested through the implementation analysis of variance (ANOVA). Next, multi-objective optimization of the response analysis is
performed. As the Taguchi methodology is unable to perform multi-objective optimization of the response characteristics,
combined approach of orthogonal array and Grey Relational Analysis (GRA) are carried out. Optimal combination of process
parameters has been proposed in the machining of titanium alloy in order to achieve minimum surface roughness (Ra), higher
cutting rate (CR) and higher material removal rate (MRR). Finally, confirmation tests are carried out to verify the findings.
Wire electro discharge machining (WEDM) operations are dynamic in nature and process responses are related withsimultaneous variation of parameters during experiments. To make the process reliable and to study the effects of the processparameters on different responses such as surface roughness (Ra), cutting rate and material removal rate (MRR), attempts havebeen made to carry out experiments considering the WEDM process parameters. Taguchi method, which is a design ofexperiments (DoE) method, has been applied to the present experiment followed by Grey Relational Analysis. The signals tonoise (S/N) ratio plots are analyzed to study the effect of the process parameters. The adequacy of the above analysis has beentested through the implementation analysis of variance (ANOVA). Next, multi-objective optimization of the response analysis isperformed. As the Taguchi methodology is unable to perform multi-objective optimization of the response characteristics,combined approach of orthogonal array and Grey Relational Analysis (GRA) are carried out. Optimal combination of processparameters has been proposed in the machining of titanium alloy in order to achieve minimum surface roughness (Ra), highercutting rate (CR) and higher material removal rate (MRR). Finally, confirmation tests are carried out to verify the findings.
การแปล กรุณารอสักครู่..