TAILIEUCHUNG - An experimental investigation of tool nose radius and machining parameters on TI-6AL-4V (ELI) using grey relational analysis, regression and ANN models

Grey Relational Analysis has been used for multi-objective optimization. Analysis of Variance test has been carried out to investigate contribution of input parameters. The model was found fit with R-Square value of . Regression and ANN models are developed for prediction and compared. | An experimental investigation of tool nose radius and machining parameters on TI-6AL-4V ELI using grey relational analysis regression and ANN models International Journal of Data and Network Science 3 2019 291 304 Contents lists available at GrowingScience International Journal of Data and Network Science homepage ijds An experimental investigation of tool nose radius and machining parameters on TI-6AL-4V ELI using grey relational analysis regression and ANN models Darshit R. Shaha and Sanket N. Bhavsarb a Mechanical Engineering Department of Engineering Ahmedabad Gujarat India b College of Engineering and Technology affiliated to GTU Vallabh Vidyanagar Gujarat India CHRONICLE ABSTRACT Article history Ti-6Al-4V Extra Low Interstitial ELI exhibits superior properties because of controlled intersti- Received October 28 2018 tial element of iron and oxygen. The effects of four cutting parameters namely cutting speed feed Received in revised format De- depth of cut and tool nose radius on responses like cutting force average cutting temperature and cember 25 2018 surface roughness have been investigated for turning of Ti-6Al-4V ELI . Total 81 experiments Accepted January 10 2019 Available online have been performed in dry environment. Grey Relational Analysis has been used for multi-ob- January 10 2019 jective optimization. Analysis of Variance test has been carried out to investigate contribution of Keywords input parameters. The model was found fit with R-Square value of . Regression and ANN Titanium Alloys models are developed for prediction and compared. From the Grey relational analysis it is clear Grey Relational Analysis that optimum parameters to minimize cutting force cutting temperature and surface roughness Regression while turning Ti-6Al-4V ELI are cutting speed as 140 rpm Nose radius Feed Artificial Neural Network rev and depth of cut is . In comparison of regression model the ANN .

• Kĩ thuật Viễn thông
• Tool nose radius
• Artificial Neural Network
• Grey Relational Analysis
• Multi objective optimization
• R Square value