Abstract
The most important measures of surface quality during the machining process are changes in the average surface roughness and maximum peak-to-valley height caused by such machining variables as cutting speed and feed rate. This study quantifies the interaction effects of the machining variables on surface roughness in dry hard turning process of AISI 4140 steel with CBN7015 inserts. The Taguchi experimental design, (multivariate) analysis of variance, and multiple (non-)linear regression models were combined in the quantification and modeling of interaction effects on surface roughness in dry hard turning process. There existed a significant interaction effect between cutting speed and feed rate in determining the behavior of the response variables.DOI: http://dx.doi.org/10.5755/j01.mech.23.5.16223
Highlights
Hard turning is a single point cutting process widely adopted in actual industrial production and concerns the removal of materials whose hardness is higher than 45 HRC
The reliability improvements of the cubic boron nitride (CBN) cutting tools facilitate the hard turning as a machining process of significant importance in manufacture
Interaction and main effects of cutting variables under a constant depth of cut on average surface roughness (Ra) and maximum peak-to-valley height (Rz) were quantified in finish hard turning of AISI 4140 low alloy medium carbon steel hardened at HRC 53 ± 1 with CBN inserts
Summary
Hard turning is a single point cutting process widely adopted in actual industrial production and concerns the removal of materials whose hardness is higher than 45 HRC. Complex and mutual interactions are generated between tool and work piece at the contact surface where significant forces and high temperatures are recorded causing wear and sometimes breakage of the tools [4]. As a result, both the precision of the finished work piece dimension and the surface roughness are altered. Interaction and main effects of cutting variables (cutting speed, and feed rate) under a constant depth of cut on average surface roughness (Ra) and maximum peak-to-valley height (Rz) were quantified in finish hard turning of AISI 4140 low alloy medium carbon steel hardened at HRC 53 ± 1 with CBN inserts. Functional relationship between the cutting variables and performance characteristics was modeled using the best-fit multiple (non-)linear regression— M(N)LR—models
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