Mathematical Modelling and Optimization of Cutting Force, Tool Wear and Surface Roughness by Using Artificial Neural Network and Response Surface Methodology in Milling of Ti-6242S

Modelling and multiobjective optimization for productivity improvement in high speed milling of Ti–6Al–4V using RSM and GA

(2017) Neelesh Kumar Sahu et al.   Journal of the Brazilian Society of Mechanical Sciences and Engineering

Investigation of cutting parameters affecting on tool wear and surface roughness in dry turning of Ti-6Al-4V using CVD and PVD coated tools

(2016) Yahya Hışman Çelik et al.   Journal of the Brazilian Society of Mechanical Sciences and Engineering

Effect of cutting parameters on workpiece and tool properties during drilling of Ti-6Al-4V

(2016) Yahya Hışman Çelik et al.   Materials Testing

Design-of-experiments application in machining titanium alloys for aerospace structural components

(2015) Navneet Khanna et al.   MEASUREMENT

Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011)

(2012) Norfadzlan Yusup et al.   EXPERT SYSTEMS WITH APPLICATIONS

Experimental and finite element simulation based investigations on micro-milling Ti-6Al-4V titanium alloy: Effects of cBN coating on tool wear

(2012) Thanongsak Thepsonthi et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

A new optimization approach based on Kriging interpolation and sequential quadratic programming algorithm for end milling refractory titanium alloys

(2011) N. Lebaal et al.   APPLIED SOFT COMPUTING

Prediction of surface roughness in the end milling machining using Artificial Neural Network

(2009) Azlan Mohd Zain et al.   EXPERT SYSTEMS WITH APPLICATIONS

Modelling of micro-electrodischarge machining during machining of titanium alloy Ti—6Al—4V using response surface methodology and artificial neural network algorithm

(2009) B B Pradhan et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE