Optimization and analysis of process parameters for flank wear, cutting forces and vibration in turning of AISI 5140: A comprehensive study

By Abdullah Aslan. Measurement, 2020

122 citations recorded by the source corpus.

Abstract Monitoring of process parameters enhances the productivity with increased tool life. Variations of cutting forces and Vb have direct influence on VB. In this study the effects of cutting parameters and tool geometry on process variables were investigated with ANOVA. The correlation between Vb and cutting forces with VB were examined and RSM based multiple optimization was performed during turning of AISI 5140. ANOVA results indicated that measured variables are reliable (FC (92.5%), FF (87.5%), FR (74.5%) Vb (81.3%), VB (91.4%)) which shows their availability for correlation. According to graphical results, cutting force signals can be utilized to monitor VB and Vb signals provide supportive information about tool condition. RSM provided optimization with a high success rate (87.5%) and confirmed with an additional experiment. The paper differs from past studies by demonstrating that VB, Vb and cutting forces are correlated with each other, statistically reliable and convenient for multiple optimization.

Subfields: Civil and Structural Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/94a9a6d80a53ef48fbbb50169829c48d511621e0