Optimization of machining parameters when machining beyond recommended cutting speed

• Published in: World journal of engineering 2020-08, Vol.17 (5), p.739-749
• Main Author: Kaladhar, M
• Format: Article
• Language: English
• Subjects: Aesthetics; Austenitic stainless steels; Corrosion resistance; Costs; Cutting parameters; Cutting speed; Cutting tools; Ductility; Energy consumption; Feed rate; Heat conductivity; High speed machining; Machine shops; Manufacturing; Material removal rate (machining); Multiple regression models; Optimization; Optimization techniques; Orthogonal arrays; Pareto analysis; Productivity; Regression analysis; Signal to noise ratio; Stainless steel; Surface properties; Surface roughness; Taguchi methods; Turning (machining); Variance analysis
• ISSN: 1708-5284; 2515-8082
• DOI: 10.1108/WJE-01-2020-0018

Purpose Even though austenitic stainless steels have been extensively used in industries, owing to some of the characteristics of the material, its performance in machining is difficult to understand, in particular at high cutting speeds. There is no availability of dependable and in-depth studies pertinent to this matter. In this work, performance of AISI 304 austenitic stainless steel was studied in terms of surface roughness (Ra) and material removal rate (MRR) at high cutting speeds. Subsequently, parametric optimization and prediction for responses were carried out. Design/methodology/approach Turning operations were conducted using L9 orthogonal array and the outcomes were analyzed to attain optimal set of machining parameters for the responses using signal-to-noise (S/N) ratio and Pareto analysis of variance (ANOVA). In the present work, the cutting speed values were considered beyond the recommended range as designated by tool manufacturers. Finally, multiple regression models were developed to predict responses. Findings From the results, 350 m/min was found to be a significant speed. The investigation reveals that even though the speeds are taken beyond the recommended values, the results are favorable. The optimal machining parameters values for surface quality obtained were cutting speed of 350 m/min, feed of 0.15 mm/rev and depth of cut of 2.0 mm. In case of MRR, the optimal values were: cutting speed of 400 m/min, feed of 0.25 mm/rev and depth of cut of 2.0 mm. It was found out that there was an improvement in Ra and MRR (around 15 and 4%) due to optimization. The results indicate that Pareto ANOVA is easier than S/N ratio. This revealed that the feed rate and depth of cut were mostly affected parameters for Ra and MRR. The developed models are capable of predicting the responses accurately. Practical implications The outcome of the work reveals that even though the speeds were taken beyond the recommended value, the results are favorable for manufacturing industries when the tool cost is considered insignificant. Originality/value No work was reported on machining of the chosen material beyond the recommended cutting speed. Moreover, it was observed from the past works that cutting speeds were limited to 100–300 m/min.