Optimization of cutting parameters in CNC turning of stainless steel 304 with TiAlN nano coated carbide cutting tool

International Conference on Advances in Materials and Manufacturing Applications 2017

Prasada Rao, V. Durga^1 ; Harsha, N.^1 ; Raghu Ram, N.S.^1 ; Navya Geethika, V.^1

Dept. of Mechanical Engg, S.R.K.R. Engg. College, Bhimavaram

534204, India^1

关键词: Additional experiments;    Coated carbide tools;    Differential evolution algorithms;    Machining parameters;    Optimization problems;    Physical vapour deposition;    Taguchi orthogonal arrays;    Titanium aluminium nitride;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/310/1/012109/pdf
DOI  :  10.1088/1757-899X/310/1/012109

来源: IOP

【 摘 要 】

In this work, turning was performed to optimize the surface finish or roughness (Ra) of stainless steel 304 with uncoated and coated carbide tools under dry conditions. The carbide tools were coated with Titanium Aluminium Nitride (TiAlN) nano coating using Physical Vapour Deposition (PVD) method. The machining parameters, viz., cutting speed, depth of cut and feed rate which show major impact on Raare considered during turning. The experiments are designed as per Taguchi orthogonal array and machining process is done accordingly. Then second-order regression equations have been developed on the basis of experimental results for Rain terms of machining parameters used. Regarding the effect of machining parameters, an upward trend is observed in Rawith respect to feed rate, and as cutting speed increases the Ravalue increased slightly due to chatter and vibrations. The adequacy of response variable (Ra) is tested by conducting additional experiments. The predicted Ravalues are found to be a close match of their corresponding experimental values of uncoated and coated tools. The corresponding average % errors are found to be within the acceptable limits. Then the surface roughness equations of uncoated and coated tools are set as the objectives of optimization problem and are solved by using Differential Evolution (DE) algorithm. Also the tool lives of uncoated and coated tools are predicted by using Taylor's tool life equation.