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Optimizing Multi Characterstics in Machining of AISI 4340 Steel Using Taguchi’s Approach and Utility Concept
Abstract This paper aims to develop the multi response optimization technique for predict and select the optimal setting of machining parameters while machining AISI 4340 steel using utility concept. The experimental studies in machining were carried out under varying conditions of process parameters, such as cutting speed (v), feed (f) and different cooling conditions (i.e. dry, wet and cryogenic in which liquid nitrogen used as a coolant) by using uncoated tungsten carbide insert tool. Experiments were carried out as per Taguchi’s L9 orthogonal array with the utility concept and multi response optimization were performed for minimization of specific cutting force (K S ) and surface roughness (R a ). Further statistical analysis of variation (ANOVA) and analysis of mean (ANOM) were used to determine the effect of process parameters on responses K S and R a based on their P value and F value at 95 % confidence level. The optimization results proved that, cutting speed 57 m/min, feed 0.248 mm/min and cryogenic cooling is required for minimizes K S and R a .
Optimizing Multi Characterstics in Machining of AISI 4340 Steel Using Taguchi’s Approach and Utility Concept
Abstract This paper aims to develop the multi response optimization technique for predict and select the optimal setting of machining parameters while machining AISI 4340 steel using utility concept. The experimental studies in machining were carried out under varying conditions of process parameters, such as cutting speed (v), feed (f) and different cooling conditions (i.e. dry, wet and cryogenic in which liquid nitrogen used as a coolant) by using uncoated tungsten carbide insert tool. Experiments were carried out as per Taguchi’s L9 orthogonal array with the utility concept and multi response optimization were performed for minimization of specific cutting force (K S ) and surface roughness (R a ). Further statistical analysis of variation (ANOVA) and analysis of mean (ANOM) were used to determine the effect of process parameters on responses K S and R a based on their P value and F value at 95 % confidence level. The optimization results proved that, cutting speed 57 m/min, feed 0.248 mm/min and cryogenic cooling is required for minimizes K S and R a .
Optimizing Multi Characterstics in Machining of AISI 4340 Steel Using Taguchi’s Approach and Utility Concept
Gupta, Munish Kumar (author) / Sood, Pardeep Kumar (author)
2015-10-24
7 pages
Article (Journal)
Electronic Resource
English
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