A new approach to minimization of the surface roughness and cutting force via fuzzy TOPSIS, multi-objective grey design and RSA

• Generating optimum surface roughness values are crucial to obtain high productivity.
• This study presents a new method of choosing optimal cutting parameters.
• The machining parameters are cutting velocity, depth of cut and feed rate.
• The results indicate that the depth of cut was the dominant property.

Surface roughness affects the strength of parts during contact and working performance. Therefore, generating optimum surface roughness values are crucial to obtain high productivity in the manufacturing of turning geometries. This study presents a new method of choosing optimal cutting parameters. The first aim of this study is to investigate turning of ductile iron using fuzzy TOPSIS and grey relational analysis of optimum cutting parameter values. The second aim of the study is to determine using response surface analysis of mathematical model depending on cutting parameters of average surface roughness, maximum roughness, and main cutting force and feed force in turning. The adequacy of the developed mathematical model is proved by ANOVA. The results indicate that the depth of cut was the dominant property on the surface roughness and cutting forces.

This study presents a new method related with both choosing of optimal cutting parameters. The first aim of this study is to investigate using fuzzy TOPSIS and grey relational analysis of optimum cutting parameter values in turning of ductile iron. The second aim of the study is to determine using response surface analysis of mathematical model depending on cutting parameters of average surface roughness, maximum roughness, main cutting force and feed force in turning, and then the adequacy of the developed mathematical model is proved by ANOVA. The results indicated that the depth of cut was the dominant on the surface roughness and cutting forces.Figure optionsDownload as PowerPoint slide