Modelling and application of response surface optimization to optimize cutting parameters for minimizing cutting forces and surface roughness in high-speed, ball-end milling of Al2014-T6

Application of particle swarm optimization and response surface methodology for machining parameters optimization of aluminium matrix composites in milling operation

(2016) Rashmi Laxmikant Malghan et al.   Journal of the Brazilian Society of Mechanical Sciences and Engineering

Optimization of surface roughness in ball-end milling using teaching-learning-based optimization and response surface methodology

(2016) Mithilesh K Dikshit et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

Modelling and characterisation of roughness of moulds produced by high-speed machining with ball-nose end mill

(2016) Marcelo Ferreira Batista et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

Mechanics and dynamics of thread milling process

(2014) Min Wan et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Prediction of surface roughness in ball-end milling process by utilizing dynamic cutting force ratio

(2014) S. Tangjitsitcharoen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Effect of machining parameters on surface roughness in end milling of AISI 1019 steel

(2013) Bhuvnesh Bhardwaj et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

Multiple-response optimisation of electrochemical grinding characteristics through response surface methodology

(2012) Asit Baran Puri et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Empirical models and optimal cutting parameters for cutting forces and surface roughness in hard milling of AISI H13 steel

(2010) Tongchao Ding et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

High-speed milling of AISI H13 hot-work tool steel using polycrystalline cubic boron nitride ball-nose mills: From experimental investigations and empirical modelling to functional testing of the machined surfaces

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