Multi-criteria optimization of the turning parameters of Ti-6Al-4V titanium alloy using the Response Surface Methodology

The paper depicts an application of Response Surface Methodology (RSM) for predicting selected parameters in turning of Ti-6Al-4V titanium alloy using polycrystalline diamond tool. Response surface plots that are generated by the model helps in determining the optimum combination of input factors (cutting speed vc and feed rate f) for best possible surface roughness (Sa), cutting force (Fc)and temperature (T) for dry and cooling turning. The methodology of multi-criteria optimization was used to establish the interaction between input parameters and given responses

[1]  P. Feng,et al.  Determination of tool tip steady-state temperature in dry turning process based on artificial neural network , 2022, Journal of Manufacturing Processes.

[2]  Mulugundam Siva Surya.  Optimization of turning parameters while turning Ti-6Al-4V titanium alloy for surface roughness and material removal rate using response surface methodology , 2022, Materials Today: Proceedings.

[3]  Hacı Sağlam,et al.  ANOVA and fuzzy rule based evaluation and estimation of flank wear, temperature and acoustic emission in turning , 2021, CIRP Journal of Manufacturing Science and Technology.

[4]  Alfredo H.-S. Ang,et al.  A new response surface method based on the adaptive bivariate cut-HDMR , 2021 .

[5]  V. Sargade,et al.  Effect of Process Parameters during Turning of Ti6Al4V-ELI in Dry and MQL Environments , 2020 .

[6]  N. Andersson,et al.  Investigation of cutting conditions on tool life in shoulder milling of Ti6Al4V using PVD coated micro-grain carbide insert based on design of experiments , 2020, Heliyon.

[7]  A. T. Abbas,et al.  Multi-Response Optimization in High-Speed Machining of Ti-6Al-4V Using TOPSIS-Fuzzy Integrated Approach , 2020, Materials.

[8]  Dimitrios E. Manolakos,et al.  A comparative investigation of Taguchi and full factorial design for machinability prediction in turning of a titanium alloy , 2020 .

[9]  Optimization of Machining Parameters using ANOVA and Grey Relational Analysis while Turning Aluminium 7075 , 2019, International journal of recent technology and engineering.

[10]  D. Manolakos,et al.  Modeling of Ti6Al4V Alloy Orthogonal Cutting with Smooth Particle Hydrodynamics: A Parametric Analysis on Formulation and Particle Density , 2019, Metals.

[11]  W. Grzesik,et al.  Investigation of the tribological performance of AlTiN coated cutting tools in the machining of Ti6Al4V titanium alloy in terms of demanded tool life , 2018, Eksploatacja i Niezawodnosc - Maintenance and Reliability.

[12]  Yongbo Wu,et al.  An experimental research on the machinability of a high temperature titanium alloy BTi-6431S in turning process , 2018 .

[13]  Mozammel Mia,et al.  Study of surface roughness and cutting forces using ANN, RSM, and ANOVA in turning of Ti-6Al-4V under cryogenic jets applied at flank and rake faces of coated WC tool , 2017 .

[14]  Zhang Xiaobo,et al.  Comparison of response surface method and Kriging method for approximation modeling , 2017, 2017 2nd International Conference on Power and Renewable Energy (ICPRE).

[15]  S. Sivam,et al.  Prediction Model of Setting Input Parameters for Turning Operation TI-6AL-4V by Fuzzy Rule based Modeling , 2017, 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI).

[16]  André I. Khuri,et al.  A General Overview of Response Surface Methodology , 2017 .

[17]  W. Stachurski,et al.  Influence of cutting parameters during turning process of aerospace industry alloy Ti-6Al-4V ELI (Grade 23) on cutting forces and surface roughness of the workpiece , 2016 .

[18]  D. Morozow,et al.  Machining titanium alloy Ti-6Al-4V implanted carbide tools , 2015 .

[19]  J. A. Ghani,et al.  OPTIMIZATION OF TURNING PARAMETERS FOR TITANIUM ALLOY TI-6AL-4V ELI USING THE RESPONSE SURFACE METHOD (RSM) , 2014 .

[20]  M. Kowalczyk.  Then chip compression ratio analysis in the aspect of TI-6AL-4V alloy turning with elevated cutting speeds , 2012 .

[21]  Rosemar Batista da Silva,et al.  Surface integrity of finished turned Ti–6Al–4V alloy with PCD tools using conventional and high pressure coolant supplies , 2007 .

[22]  Mingyuan Chen,et al.  On Optimization of Machining Parameters , 2003, 2003 4th International Conference on Control and Automation Proceedings.

[23]  M. Fischer,et al.  Micro Cutting of Ti-6Al-4V Parts Produced by SLM Process , 2017 .

[24]  Ż. A. Mierzejewska,et al.  Analysis of the surface condition of removed bone implants , 2016 .

[25]  M. Jackson,et al.  Effect of Cutting Fluid on Micromilling of Ti-6Al-4V Titanium Alloy , 2016 .

[26]  D. Ostrowski,et al.  Wpływ parametrów skrawania podczas toczenia lotniczego stopu tytanu Ti-6Al-4V ELI (GRADE 23) na siły skrawania oraz chropowatość powierzchni obrobionej , 2015 .

[27]  C. Veiga,et al.  PROPERTIES AND APPLICATIONS OF TITANIUM ALLOYS: A BRIEF REVIEW , 2012 .

[28]  Eksploatacja i Niezawodnosc - Maintenance and Reliability , 2022 .