Optimizing cutting parameters for cutting power and roughness in VAT 32® turning with an experimental Al2O3-MgO ceramic tool using Taguchi’s method

Optimization of Cutting Parameters for Surface Roughness in Turning

The optimized cutting parameters are very important to control the required surface quality. In the present study, Taguchi method is used to find the optimal cutting parameters for surface roughness (Ra) in turning. The L-18 orthogonal array, the signal-to-noise ratio & analysis of variance are employed to study the performance characteristics in turning operations of AISI-410 steel bars using ...

Multi Objective Optimization of Cutting Parameters in Turning Operation to Reduce Surface Roughness and Cutting Forces

Surface Roughness, Machining Force and FlankWear in Turning of Hardened AISI 4340 Steel with Coated Carbide Insert: Cutting Parameters Effects

The current experimental study is to investigate the effects of process parameters (cutting speed, feed rate and depth of cut) on performance characteristics (surface roughness, machining force and flank wear) in hard turning of AISI 4340 steel with multilayer CVD (TiN/TiCN/Al2O3) coated carbide insert. Combined effects of cutting parameter (v, f, d) on performance outputs (Ra, Fm and VB) ar...

Prediction Model for CNC Turning on AISI316 with Single and Multilayered Cutting tool Using Box Behnken Design (RESEARCH NOTE)

Austenitic stainless steels (AISI316) are used for many commercial and industrial applications for their excellent corrosive resistance. AISI316 is generally difficult to machine material due to their high strength and high work hardening tendency. Tool wear (TW) and surface roughness (SR) are broadly considered the most challenging phases causing poor quality in machining. Optimization of cutt...

Cutting tool wear estimation for turning

The experimental investigation on cutting tool wear and a model for tool wear estimation is reported in this paper. The changes in the values of cutting forces, vibrations and acoustic emissions with cutting tool wear are recoded and analyzed. On the basis of experimental results a model is developed for tool wear estimation in turning operations using Adaptive Neuro fuzzy Inference system (ANF...